Haibo He
#98,161
Most Influential Person Now
Haibo He's AcademicInfluence.com Rankings
Haibo Hecomputer-science Degrees
Computer Science
#3450
World Rank
#3620
Historical Rank
Data Mining
#38
World Rank
#38
Historical Rank
Machine Learning
#412
World Rank
#418
Historical Rank
Database
#829
World Rank
#870
Historical Rank
Download Badge
Computer Science
Haibo He's Degrees
- PhD Computer Science University of Technology Sydney
- Masters Computer Science University of Science and Technology of China
- Bachelors Computer Science University of Science and Technology of China
Similar Degrees You Can Earn
Why Is Haibo He Influential?
(Suggest an Edit or Addition)Haibo He's Published Works
Published Works
- Learning from Imbalanced Data (2009) (3520)
- ADASYN: Adaptive synthetic sampling approach for imbalanced learning (2008) (2672)
- Imbalanced Learning: Foundations, Algorithms, and Applications (2013) (664)
- IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information (2020) (415)
- Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox (2019) (411)
- Adaptively robust filtering for kinematic geodetic positioning (2001) (313)
- Cyber-physical attacks and defences in the smart grid: a survey (2016) (304)
- A Hierarchical Distributed Fog Computing Architecture for Big Data Analysis in Smart Cities (2015) (273)
- Incorporating Intelligence in Fog Computing for Big Data Analysis in Smart Cities (2017) (268)
- Contribution of the Compass satellite navigation system to global PNT users (2011) (261)
- Preliminary assessment of the navigation and positioning performance of BeiDou regional navigation satellite system (2013) (235)
- Air-Breathing Hypersonic Vehicle Tracking Control Based on Adaptive Dynamic Programming (2017) (219)
- Toward Optimal Feature Selection in Naive Bayes for Text Categorization (2016) (214)
- Adaptive Critic Nonlinear Robust Control: A Survey (2017) (212)
- Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning (2019) (206)
- A three-network architecture for on-line learning and optimization based on adaptive dynamic programming (2012) (202)
- Stacked Multilevel-Denoising Autoencoders: A New Representation Learning Approach for Wind Turbine Gearbox Fault Diagnosis (2017) (187)
- RAMOBoost: Ranked Minority Oversampling in Boosting (2010) (185)
- Dynamic path planning for autonomous driving on various roads with avoidance of static and moving obstacles (2018) (184)
- Performance assessment of single- and dual-frequency BeiDou/GPS single-epoch kinematic positioning (2014) (181)
- A local density-based approach for outlier detection (2017) (175)
- Cascading Failure Analysis With DC Power Flow Model and Transient Stability Analysis (2015) (171)
- Formation Learning Control of Multiple Autonomous Underwater Vehicles With Heterogeneous Nonlinear Uncertain Dynamics (2018) (167)
- Adaptive Learning in Tracking Control Based on the Dual Critic Network Design (2013) (166)
- Incremental Learning From Stream Data (2011) (162)
- Q-Learning-Based Vulnerability Analysis of Smart Grid Against Sequential Topology Attacks (2017) (161)
- A Bayesian Classification Approach Using Class-Specific Features for Text Categorization (2016) (155)
- Wind Turbine Fault Detection Using a Denoising Autoencoder With Temporal Information (2017) (154)
- Learning Race from Face: A Survey (2014) (152)
- Power System Stability Control for a Wind Farm Based on Adaptive Dynamic Programming (2015) (149)
- Stochastic Optimization of Economic Dispatch for Microgrid Based on Approximate Dynamic Programming (2019) (147)
- Data-Driven Tracking Control With Adaptive Dynamic Programming for a Class of Continuous-Time Nonlinear Systems (2017) (147)
- Event-Triggered Optimal Control for Partially Unknown Constrained-Input Systems via Adaptive Dynamic Programming (2017) (140)
- Optimized Control of DFIG-Based Wind Generation Using Sensitivity Analysis and Particle Swarm Optimization (2013) (140)
- Improved Sliding Mode Design for Load Frequency Control of Power System Integrated an Adaptive Learning Strategy (2017) (138)
- Towards incremental learning of nonstationary imbalanced data stream: a multiple selectively recursive approach (2011) (137)
- Impact of Power Grid Strength and PLL Parameters on Stability of Grid-Connected DFIG Wind Farm (2020) (134)
- Revealing Cascading Failure Vulnerability in Power Grids Using Risk-Graph (2014) (133)
- Energy-Storage-Based Low-Frequency Oscillation Damping Control Using Particle Swarm Optimization and Heuristic Dynamic Programming (2014) (123)
- Online Learning Control Using Adaptive Critic Designs With Sparse Kernel Machines (2013) (120)
- An Event-Triggered Approach for Load Frequency Control With Supplementary ADP (2017) (120)
- Optimal Control for Unknown Discrete-Time Nonlinear Markov Jump Systems Using Adaptive Dynamic Programming (2014) (120)
- An Event-Triggered ADP Control Approach for Continuous-Time System With Unknown Internal States (2017) (116)
- Novel iterative neural dynamic programming for data-based approximate optimal control design (2017) (112)
- Dynamic Energy Management of a Microgrid Using Approximate Dynamic Programming and Deep Recurrent Neural Network Learning (2019) (112)
- Load Frequency Control in Isolated Micro-Grids with Electrical Vehicles Based on Multivariable Generalized Predictive Theory (2015) (111)
- Distributive Dynamic Spectrum Access Through Deep Reinforcement Learning: A Reservoir Computing-Based Approach (2018) (109)
- Resilience Analysis of Power Grids Under the Sequential Attack (2014) (106)
- SERA: Selectively recursive approach towards nonstationary imbalanced stream data mining (2009) (105)
- Constrained EV Charging Scheduling Based on Safe Deep Reinforcement Learning (2020) (105)
- Adaptive Event-Triggered Control Based on Heuristic Dynamic Programming for Nonlinear Discrete-Time Systems (2017) (105)
- A Novel Energy Function-Based Stability Evaluation and Nonlinear Control Approach for Energy Internet (2017) (104)
- Semisupervised Feature Selection Based on Relevance and Redundancy Criteria (2017) (103)
- Integrated Security Analysis on Cascading Failure in Complex Networks (2014) (102)
- ENN: Extended Nearest Neighbor Method for Pattern Recognition [Research Frontier] (2015) (100)
- Event-Driven Adaptive Robust Control of Nonlinear Systems With Uncertainties Through NDP Strategy (2017) (99)
- Adaptive Learning and Control for MIMO System Based on Adaptive Dynamic Programming (2011) (97)
- Event-Triggered Adaptive Dynamic Programming for Continuous-Time Systems With Control Constraints (2017) (97)
- Reactive power control of grid-connected wind farm based on adaptive dynamic programming (2014) (95)
- Optimal Real-Time Operation Strategy for Microgrid: An ADP-Based Stochastic Nonlinear Optimization Approach (2019) (93)
- Goal Representation Heuristic Dynamic Programming on Maze Navigation (2013) (93)
- Adaptive Critic Designs for Event-Triggered Robust Control of Nonlinear Systems With Unknown Dynamics (2019) (89)
- Real-Time Demand Side Management for a Microgrid Considering Uncertainties (2019) (88)
- Intelligent Optimal Control With Critic Learning for a Nonlinear Overhead Crane System (2018) (87)
- BULDP: Biomimetic Uncorrelated Locality Discriminant Projection for Feature Extraction in Face Recognition (2018) (85)
- Model-Free Dual Heuristic Dynamic Programming (2015) (82)
- Fixed/Preassigned-Time Synchronization of Complex Networks via Improving Fixed-Time Stability (2020) (80)
- GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming (2015) (79)
- Assessment Metrics for Imbalanced Learning (2013) (78)
- Design of a robust EMG sensing interface for pattern classification (2010) (78)
- Detection of false data attacks in smart grid with supervised learning (2016) (77)
- Near-Optimal Tracking Control of Mobile Robots Via Receding-Horizon Dual Heuristic Programming (2016) (77)
- A Hierarchical Deep Domain Adaptation Approach for Fault Diagnosis of Power Plant Thermal System (2019) (76)
- Dimensionality Reduction of Hyperspectral Imagery Based on Spatial–Spectral Manifold Learning (2018) (75)
- Distributed Cooperative Control and Stability Analysis of Multiple DC Electric Springs in a DC Microgrid (2018) (74)
- Dynamic Behavior of Terminal Sliding Mode Control (2018) (74)
- Deterministic Policy Gradient With Integral Compensator for Robust Quadrotor Control (2020) (72)
- Advances in Neural Networks – ISNN 2009 (2009) (72)
- Resilient Wide-Area Damping Control Using GrHDP to Tolerate Communication Failures (2019) (71)
- Multi-Contingency Cascading Analysis of Smart Grid Based on Self-Organizing Map (2013) (71)
- Real-Time Residential Demand Response (2020) (71)
- Self-Adaptive Systems for Machine Intelligence (2011) (70)
- DCPE co-training for classification (2012) (69)
- Kernel-Based Approximate Dynamic Programming for Real-Time Online Learning Control: An Experimental Study (2014) (68)
- KernelADASYN: Kernel based adaptive synthetic data generation for imbalanced learning (2015) (67)
- Synchronization of complex-valued dynamic networks with intermittently adaptive coupling: A direct error method (2020) (64)
- Parameterized Batch Reinforcement Learning for Longitudinal Control of Autonomous Land Vehicles (2019) (63)
- Foundations of Imbalanced Learning (2013) (63)
- Adaptive Supplementary Damping Control of VSC-HVDC for Interarea Oscillation Using GrHDP (2018) (63)
- Model-Free Adaptive Control for Unknown Nonlinear Zero-Sum Differential Game (2018) (63)
- Intelligent Critic Control With Disturbance Attenuation for Affine Dynamics Including an Application to a Microgrid System (2017) (63)
- Event-Driven Nonlinear Discounted Optimal Regulation Involving a Power System Application (2017) (63)
- Event-Triggered Optimal Neuro-Controller Design With Reinforcement Learning for Unknown Nonlinear Systems (2019) (62)
- Global Synchronization of Fuzzy Memristive Neural Networks With Discrete and Distributed Delays (2020) (60)
- SOMKE: Kernel Density Estimation Over Data Streams by Sequences of Self-Organizing Maps (2012) (60)
- Data-Adaptive Robust Optimization Method for the Economic Dispatch of Active Distribution Networks (2019) (59)
- Adaptive Dynamic Programming for Robust Regulation and Its Application to Power Systems (2018) (59)
- Adaptive wide-area power oscillation damper design for photovoltaic plant considering delay compensation (2017) (58)
- GIR-based ensemble sampling approaches for imbalanced learning (2017) (57)
- Automated Demand Response Framework in ELNs: Decentralized Scheduling and Smart Contract (2020) (57)
- A Folded Neural Network Autoencoder for Dimensionality Reduction (2012) (56)
- A Theoretical Foundation of Goal Representation Heuristic Dynamic Programming (2016) (55)
- Learning to Navigate Through Complex Dynamic Environment With Modular Deep Reinforcement Learning (2018) (55)
- Variational autoencoder based synthetic data generation for imbalanced learning (2017) (54)
- Cooperative Deterministic Learning-Based Formation Control for a Group of Nonlinear Uncertain Mechanical Systems (2019) (53)
- Imbalanced Datasets: From Sampling to Classifiers (2013) (52)
- Team-Triggered Practical Fixed-Time Consensus of Double-Integrator Agents With Uncertain Disturbance (2020) (52)
- A Fully Decentralized Multi-Agent System for Intelligent Restoration of Power Distribution Network Incorporating Distributed Generations [Application Notes] (2012) (51)
- Power quality disturbances analysis based on EDMRA method (2009) (51)
- Distributed Cooperative Control of Multiple Hybrid Energy Storage Systems in a DC Microgrid Using Consensus Protocol (2020) (51)
- GNSS multi-carrier fast partial ambiguity resolution strategy tested with real BDS/GPS dual- and triple-frequency observations (2013) (50)
- Self-learning robust optimal control for continuous-time nonlinear systems with mismatched disturbances (2018) (50)
- Intelligent load frequency controller using GrADP for island smart grid with electric vehicles and renewable resources (2015) (49)
- A Novel Framework for Fault Diagnosis Using Kernel Partial Least Squares Based on an Optimal Preference Matrix (2017) (49)
- Risk-Aware Attacks and Catastrophic Cascading Failures in U.S. Power Grid (2011) (48)
- A bi-layer optimization based temporal and spatial scheduling for large-scale electric vehicles (2016) (47)
- Joint Substation-Transmission Line Vulnerability Assessment Against the Smart Grid (2015) (46)
- Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system (2014) (46)
- IMORL: Incremental Multiple-Object Recognition and Localization (2008) (45)
- Interactive Energy Management for Enhancing Power Balances in Multi-Microgrids (2019) (45)
- L 1 Graph Based on Sparse Coding for Feature Selection (2013) (45)
- Improving the Critic Learning for Event-Based Nonlinear $H_{\infty }$ Control Design (2017) (44)
- Anticipation-Based Temporal Sequences Learning in Hierarchical Structure (2007) (44)
- Self-organizing learning array and its application to economic and financial problems (2007) (43)
- Adaptive Critic Learning and Experience Replay for Decentralized Event-Triggered Control of Nonlinear Interconnected Systems (2020) (43)
- Data-Driven Finite-Horizon Approximate Optimal Control for Discrete-Time Nonlinear Systems Using Iterative HDP Approach (2018) (43)
- SSC: A Classifier Combination Method Based on Signal Strength (2012) (43)
- A visual long-short-term memory based integrated CNN model for fabric defect image classification (2020) (42)
- A Novel UKF-RBF Method Based on Adaptive Noise Factor for Fault Diagnosis in Pumping Unit (2019) (42)
- MuSeRA: Multiple Selectively Recursive Approach towards imbalanced stream data mining (2010) (42)
- Functional Nonlinear Model Predictive Control Based on Adaptive Dynamic Programming (2019) (41)
- Fuzzy-Based Goal Representation Adaptive Dynamic Programming (2016) (40)
- Distributed Hybrid Secondary Control for a DC Microgrid via Discrete-Time Interaction (2018) (40)
- Human Mobility Modeling for Robot-Assisted Evacuation in Complex Indoor Environments (2016) (40)
- Necessary and Sufficient Conditions for Consensus in Fractional-Order Multiagent Systems via Sampled Data Over Directed Graph (2021) (39)
- Energy-Storage-Based Intelligent Frequency Control of Microgrid With Stochastic Model Uncertainties (2020) (39)
- An analytical study on the carrier-phase linear combinations for triple-frequency GNSS (2017) (39)
- Continuous-Time Distributed Policy Iteration for Multicontroller Nonlinear Systems (2020) (38)
- Spatio–Temporal Memories for Machine Learning: A Long-Term Memory Organization (2009) (38)
- A Ranked Subspace Learning Method for Gene Expression Data Classification (2007) (38)
- Manifold-Based Reinforcement Learning via Locally Linear Reconstruction (2017) (38)
- Cyber-Attack Recovery Strategy for Smart Grid Based on Deep Reinforcement Learning (2020) (38)
- A fast deep learning system using GPU (2014) (38)
- Multi-Objective Bacterial Foraging Optimization Algorithm Based on Parallel Cell Entropy for Aluminum Electrolysis Production Process (2016) (38)
- Consensus for non-linear multi-agent systems modelled by PDEs based on spatial boundary communication (2017) (37)
- Detection of false data injection attacks in smart grid under colored Gaussian noise (2016) (37)
- Adaptive Modulation for DFIG and STATCOM With High-Voltage Direct Current Transmission (2016) (37)
- Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond (2016) (37)
- Deep Learning Based Energy Efficiency Optimization for Distributed Cooperative Spectrum Sensing (2019) (37)
- Event-Triggered Adaptive Dynamic Programming for Continuous-Time Systems With Control Constraints (2017) (37)
- Flexibility Provisions in Active Distribution Networks With Uncertainties (2021) (37)
- Anthropogenic electromagnetic fields (EMF) influence the behaviour of bottom-dwelling marine species (2020) (37)
- Hybrid synchronization behavior in an array of coupled chaotic systems with ring connection (2016) (36)
- Advances in Neural Networks - ISNN 2011 - 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29-June 1, 2011, Proceedings, Part I (2011) (36)
- A Finger Vein Image-Based Personal Identification System With Self-Adaptive Illuminance Control (2017) (36)
- Online Scheduling of a Residential Microgrid via Monte-Carlo Tree Search and a Learned Model (2020) (36)
- Data-Driven Distributed Output Consensus Control for Partially Observable Multiagent Systems (2019) (36)
- Semi-periodically intermittent control for synchronization of switched complex networks: a mode-dependent average dwell time approach (2016) (35)
- Optimized Relative Transformation Matrix Using Bacterial Foraging Algorithm for Process Fault Detection (2016) (35)
- Imbalanced evolving self-organizing learning (2014) (35)
- Sparse-Representation-Based Classification with Structure-Preserving Dimension Reduction (2014) (35)
- A neural network based online learning and control approach for Markov jump systems (2015) (35)
- Adaptive dynamic programming for robust neural control of unknown continuous-time non-linear systems (2017) (35)
- Approximate Dynamic Programming for Nonlinear-Constrained Optimizations (2019) (35)
- Consensus-Based Distributed Control for Photovoltaic-Battery Units in a DC Microgrid (2019) (34)
- Decentralized Event-Triggered Control for a Class of Nonlinear-Interconnected Systems Using Reinforcement Learning (2019) (34)
- Operating Parameters Optimization for the Aluminum Electrolysis Process Using an Improved Quantum-Behaved Particle Swarm Algorithm (2018) (34)
- Spatial outlier detection based on iterative self-organizing learning model (2013) (33)
- Self-Adaptive Systems for Machine Intelligence: He/Machine Intelligence (2011) (33)
- Event-Triggered Robust Stabilization of Nonlinear Input-Constrained Systems Using Single Network Adaptive Critic Designs (2020) (33)
- Advanced Secondary Voltage Recovery Control for Multiple HESSs in a Droop-Controlled DC Microgrid (2019) (32)
- Feature selection based on sparse imputation (2012) (32)
- Heuristic dynamic programming with internal goal representation (2013) (32)
- A chance constrained optimal reserve scheduling approach for economic dispatch considering wind penetration (2017) (32)
- Event-triggered differentially private average consensus for multi-agent network (2019) (31)
- Gr-GDHP: A New Architecture for Globalized Dual Heuristic Dynamic Programming (2017) (31)
- ANGEL: An Intelligent Digital Twin Framework for Microgrid Security (2019) (31)
- GrHDP Solution for Optimal Consensus Control of Multiagent Discrete-Time Systems (2020) (31)
- Event-Triggered Globalized Dual Heuristic Programming and Its Application to Networked Control Systems (2019) (30)
- Learning Human–Robot Interaction for Robot-Assisted Pedestrian Flow Optimization (2019) (30)
- LIFT: A new framework of learning from testing data for face recognition (2011) (30)
- A Parametric Classification Rule Based on the Exponentially Embedded Family (2015) (30)
- Dynamic event-triggered robust secondary frequency control for islanded AC microgrid (2019) (29)
- Exponential synchronization for a class of complex spatio-temporal networks with space-varying coefficients (2015) (29)
- An adaptive neuro-control approach for multi-machine power systems (2016) (29)
- Residential Energy Management with Deep Reinforcement Learning (2018) (29)
- Quasi-Synchronization in Heterogeneous Harmonic Oscillators With Continuous and Sampled Coupling (2019) (29)
- ar-MOEA: A Novel Preference-Based Dominance Relation for Evolutionary Multiobjective Optimization (2019) (28)
- Toward a Smart Grid: Integration of computational intelligence into Power Grid (2010) (28)
- The sequential attack against power grid networks (2014) (27)
- A New Discrete-Continuous Algorithm for Radial Basis Function Networks Construction (2013) (27)
- Load distribution vector based attack strategies against power grid systems (2012) (27)
- Cooperative output regulation of heterogeneous multi-agent systems with a leader of bounded inputs (2018) (27)
- Simulating large-scale pedestrian movement using CA and event driven model: Methodology and case study (2015) (27)
- Emotion-Semantic-Enhanced Neural Network (2019) (27)
- Risk-aware vulnerability analysis of electric grids from attacker's perspective (2013) (26)
- Adaptive near-optimal controllers for non-linear decentralised feedback stabilisation problems (2017) (26)
- Event-Driven H∞-Constrained Control Using Adaptive Critic Learning (2020) (26)
- Real-time subsidy based robust scheduling of the integrated power and gas system (2019) (26)
- Smart Grid Vulnerability under Cascade-Based Sequential Line-Switching Attacks (2014) (26)
- Entropy-based Sampling Approaches for Multi-Class Imbalanced Problems (2020) (25)
- SMES-Based Damping Controller Design Using Fuzzy-GrHDP Considering Transmission Delay (2016) (24)
- Robust controller design of continuous-time nonlinear system using neural network (2013) (24)
- A Multifactorial Evolutionary Algorithm for Multitasking Under Interval Uncertainties (2020) (24)
- PI-Consensus Based Distributed Control of AC Microgrids (2020) (24)
- Reinforcement learning control based on multi-goal representation using hierarchical heuristic dynamic programming (2012) (24)
- Coordinated Topology Attacks in Smart Grid Using Deep Reinforcement Learning (2021) (23)
- Asynchronous Quasi-Consensus of Heterogeneous Multiagent Systems With Nonuniform Input Delays (2020) (23)
- Distributed Optimal Control of Energy Storages in a DC Microgrid With Communication Delay (2020) (23)
- An Event-Driven ADR Approach for Residential Energy Resources in Microgrids With Uncertainties (2019) (23)
- Global Stabilization of Fuzzy Memristor-Based Reaction–Diffusion Neural Networks (2019) (23)
- Deep associative neural network for associative memory based on unsupervised representation learning (2019) (23)
- Distributed Tracking in Heterogeneous Networks With Asynchronous Sampled-Data Control (2020) (22)
- Neuro-Optimal Tracking Control for Continuous Stirred Tank Reactor With Input Constraints (2019) (22)
- Adaptive Dynamic Programming for Decentralized Stabilization of Uncertain Nonlinear Large-Scale Systems With Mismatched Interconnections (2020) (22)
- Multi-Agent Trust Region Policy Optimization (2020) (22)
- Multi-machine power system control based on dual heuristic dynamic programming (2014) (22)
- Electromagnetic Field (EMF) Impacts on Elasmobranch (shark, rays, and skates) and American Lobster Movement and Migration from Direct Current Cables (2018) (22)
- Robot-assisted pedestrian regulation in an exit corridor (2016) (22)
- A GPU-based real-time traffic sign detection and recognition system (2014) (22)
- Robot-Assisted Pedestrian Regulation Based on Deep Reinforcement Learning (2020) (22)
- Class Imbalance and Active Learning (2013) (21)
- Adaptive control for an HVDC transmission link with FACTS and a wind farm (2013) (20)
- Adaptive critic designs for optimal control of uncertain nonlinear systems with unmatched interconnections (2018) (20)
- Revealing temporal features of attacks against smart grid (2013) (20)
- Performance Analysis of Single-Epoch Dual-Frequency RTK by BeiDou Navigation Satellite System (2013) (20)
- Visual interaction networks: A novel bio-inspired computational model for image classification (2020) (20)
- Invariant Adaptive Dynamic Programming for Discrete-Time Optimal Control (2020) (20)
- Modeling and simulation of VSC-HVDC with dynamic phasors (2008) (20)
- A Distributed Iterative Learning Framework for DC Microgrids: Current Sharing and Voltage Regulation (2020) (20)
- Observer-based sliding mode frequency control for micro-grid with photovoltaic energy integration (2016) (20)
- Feasibility Identification and Computational Efficiency Improvement for Two-Stage RUC With Multiple Wind Farms (2020) (20)
- Design and real-time implementation of data-driven adaptive wide-area damping controller for back-to-back VSC-HVDC (2019) (20)
- Topological structures of vortex flow on a flying wing aircraft, controlled by a nanosecond pulse discharge plasma actuator (2016) (20)
- Benefits of BDS-3 B1C/B1I/B2a triple-frequency signals on precise positioning and ambiguity resolution (2020) (19)
- A Generative Model for Sparse Hyperparameter Determination (2018) (19)
- An integrated incremental self-organizing map and hierarchical neural network approach for cognitive radio learning (2010) (19)
- Probability Density Function Estimation Using the EEF With Application to Subset/Feature Selection (2016) (18)
- Intermittent Stabilization of Fuzzy Competitive Neural Networks With Reaction Diffusions (2021) (18)
- Local Linear Spatial–Spectral Probabilistic Distribution for Hyperspectral Image Classification (2020) (18)
- Comparative study between HDP and PSS on DFIG damping control (2013) (18)
- A Virtual-Real Interaction Approach to Object Instance Segmentation in Traffic Scenes (2021) (17)
- Data-driven heuristic dynamic programming with virtual reality (2015) (17)
- A Novel Generative Model With Bounded-GAN for Reliability Classification of Gear Safety (2019) (17)
- Estimation and Mitigation of the Main Errors for Centimetre-level Compass RTK Solutions over Medium-Long Baselines (2011) (17)
- An Improved SVM-Based Cognitive Diagnosis Algorithm for Operation States of Distribution Grid (2015) (16)
- LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control (2020) (16)
- Power grid resilience against false data injection attacks (2016) (16)
- A Novel Secondary Optimal Control for Multiple Battery Energy Storages in a DC Microgrid (2020) (16)
- CGAN-MBL for Reliability Assessment With Imbalanced Transmission Gear Data (2019) (16)
- SOMSO: A self-organizing map approach for spatial outlier detection with multiple attributes (2009) (16)
- Bipartite Graph Based Multi-View Clustering (2022) (16)
- Improving the performance of a neural-machine interface for prosthetic legs using adaptive pattern classifiers (2013) (16)
- SDE: A Novel Clustering Framework Based on Sparsity-Density Entropy (2018) (16)
- Adaptive Observer-Based Output Regulation of Multiagent Systems With Communication Constraints (2020) (15)
- An Imbalanced Learning based MDR-TB Early Warning System (2016) (15)
- EEF: Exponentially Embedded Families With Class-Specific Features for Classification (2016) (15)
- Spatial-spectral local discriminant projection for dimensionality reduction of hyperspectral image (2019) (15)
- Multiagent Adversarial Collaborative Learning via Mean-Field Theory (2020) (15)
- Handling imbalanced dataset using SVM and k-NN approach (2016) (15)
- An integrated visualization approach for smart grid attacks (2012) (14)
- Frequency Restoration and Oscillation Damping of Distributed VSGs in Microgrid With Low Bandwidth Communication (2021) (14)
- Bootstrap Methods for Foreign Currency Exchange Rates Prediction (2007) (14)
- Real-time tracking on adaptive critic design with uniformly ultimately bounded condition (2013) (14)
- A Novel Framework for Gear Safety Factor Prediction (2019) (14)
- Reflex-Tree: A Biologically Inspired Parallel Architecture for Future Smart Cities (2015) (14)
- Self-adaptive manifold discriminant analysis for feature extraction from hyperspectral imagery (2020) (13)
- Dual Alignment for Partial Domain Adaptation (2020) (13)
- Synthetic-to-Real Domain Adaptation for Object Instance Segmentation (2019) (13)
- Optimal operation for energy storage with wind power generation using adaptive dynamic programming (2015) (13)
- A General-Purpose FPGA-Based Reconfigurable Platform for Video and Image Processing (2009) (13)
- Comparisons of ADABOOST, KNN, SVM and Logistic Regression in Classification of Imbalanced Dataset (2015) (13)
- Fully Distributed Finite-Time Consensus of Directed Multiquadcopter Systems via Pinning Control (2019) (13)
- On-Line Energy Management of Microgrid via Parametric Cost Function Approximation (2019) (13)
- Model-Independent Formation Tracking of Multiple Euler–Lagrange Systems via Bounded Inputs (2019) (13)
- Symmetric All Convolutional Neural-Network-Based Unsupervised Feature Extraction for Hyperspectral Images Classification (2020) (13)
- An online actor-critic learning approach with Levenberg-Marquardt algorithm (2011) (12)
- Experimental Studies on Data-Driven Heuristic Dynamic Programming for POMDP (2014) (12)
- Reinforcement learning for robust adaptive control of partially unknown nonlinear systems subject to unmatched uncertainties (2018) (12)
- Learning and control in virtual reality for machine intelligence (2012) (12)
- Local Domain Adaptation for Cross-Domain Activity Recognition (2021) (12)
- Ensemble learning for wind profile prediction with missing values (2013) (12)
- Fuzzy Modeling and Fuzzy Control [Book Review] (2008) (12)
- An adaptive critic approach to event‐triggered robust control of nonlinear systems with unmatched uncertainties (2018) (12)
- Discriminant Geometrical and Statistical Alignment With Density Peaks for Domain Adaptation (2020) (12)
- An improved two-stage optimization for network and load recovery during power system restoration (2019) (12)
- A Novel Low-Power Logic Circuit Design Scheme (2007) (12)
- A Deep Reinforcement Learning Based Approach for Home Energy Management System (2020) (12)
- A Data-Driven Approach for Real-Time Residential EV Charging Management (2018) (12)
- Analysis of Signal Characteristic and Positioning Performance Affected by Pseudorange Multipath for COMPASS (2013) (11)
- A hierarchical learning architecture with multiple-goal representations based on adaptive dynamic programming (2010) (11)
- Detection of False Data Injection Attacks in AC State Estimation Using Phasor Measurements (2020) (11)
- MCENN: A variant of extended nearest neighbor method for pattern recognition (2020) (11)
- Stabilization of underactuated four-link gymnast robot using torque-coupled method (2015) (11)
- Probabilistic human mobility model in indoor environment (2016) (11)
- A learning based approach for social force model parameter estimation (2017) (11)
- Integration of Self-Organizing Map (SOM) and Kernel Density Estimation (KDE) for network intrusion detection (2009) (11)
- A Sparse Dimensionality Reduction Approach Based on False Nearest Neighbors for Nonlinear Fault Detection (2019) (10)
- An End-to-End Framework With Multisource Monitoring Data for Bridge Health Anomaly Identification (2021) (10)
- Integrity analysis of COMPASS and other GNSS combined navigation (2013) (10)
- AnswerNet: Learning to Answer Questions (2019) (10)
- EDOS: Entropy Difference-based Oversampling Approach for Imbalanced Learning (2018) (10)
- Frequency control using on-line learning method for island smart grid with EVs and PVs (2014) (10)
- A novel scheme for low voltage powerline communication signal processing (2003) (10)
- Data-driven partially observable dynamic processes using adaptive dynamic programming (2014) (10)
- A Power System Optimal Dispatch Strategy Considering the Flow of Carbon Emissions and Large Consumers (2015) (10)
- Coordinated attacks against substations and transmission lines in power grids (2014) (10)
- Small Fault Detection of Discrete-Time Nonlinear Uncertain Systems (2019) (10)
- Big Data for Cyber-Physical Systems (2020) (9)
- An Evolutionary Computation Approach for Smart Grid Cascading Failure Vulnerability Analysis (2019) (9)
- Smart Grid Anomaly Detection using a Deep Learning Digital Twin (2021) (9)
- Synthesis of Cooperative Adaptive Cruise Control With Feedforward Strategies (2020) (9)
- A Hierarchical Neural Network Architecture for Classification (2012) (9)
- An Adaptive Dynamic Programming Approach for Closely-Coupled MIMO System Control (2011) (9)
- Fault-tolerant location of transient voltage disturbance source for DG integrated smart grid (2017) (9)
- Comparative studies of power grid security with network connectivity and power flow information using unsupervised learning (2016) (9)
- Learning and modeling big data (2014) (9)
- Finite-Time Command-Filtered Composite Adaptive Neural Control of Uncertain Nonlinear Systems (2020) (9)
- IterativeSOMSO: An Iterative Self-organizing Map for Spatial Outlier Detection (2010) (9)
- Active Power Oscillation Property Classification of Electric Power Systems Based on SVM (2014) (8)
- Ionosphere-Free Combinations for Triple-Frequency GNSS with Application in Rapid Ambiguity Resolution Over Medium-Long Baselines (2012) (8)
- Adaptive dynamic programming with balanced weights seeking strategy (2011) (8)
- Event-triggered adaptive dynamic programming for continuous-time nonlinear system using measured input-output data (2015) (8)
- Toward Optimal Risk-Averse Configuration for HESS With CGANs-Based PV Scenario Generation (2019) (8)
- Modeling of low voltage power network used as high frequency communication channel based on experimental results in china (2002) (8)
- A Cascaded Distributed Control Framework in DC Microgrids (2021) (8)
- Tracking analysis for general linearly coupled dynamical systems (2011) (8)
- Distributed Adaptive Learning Framework for Wide Area Monitoring of Power Systems Integrated with Distributed Generations (2013) (8)
- Cooperative Adaptive Containment Control With Parameter Convergence via Cooperative Finite-Time Excitation (2021) (8)
- Integration of fuzzy controller with adaptive dynamic programming (2012) (8)
- Learning Without External Reward [Research Frontier] (2018) (8)
- Deep Reinforcement Learning for Economic Energy Scheduling in Data Center Microgrids (2019) (8)
- Near-space aerospace vehicles attitude control based on adaptive dynamic programming and sliding mode control (2017) (8)
- Nonstationary Stream Data Learning with Imbalanced Class Distribution (2013) (7)
- Experimental studies on indoor sign recognition and classification (2014) (7)
- Advances in Neural Networks – ISNN 2009 (2009) (7)
- Adversarial Domain Adaptation via Category Transfer (2019) (7)
- Data-driven learning and control with multiple critic networks (2012) (7)
- Multi-attention deep reinforcement learning and re-ranking for vehicle re-identification (2020) (7)
- Neural and fuzzy dynamic programming for under-actuated systems (2012) (7)
- Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing (2020) (7)
- DCPE co-training: Co-training based on diversity of class probability estimation (2010) (7)
- Optimized Interconnections in Probabilistic Self-Organizing Learning (2005) (7)
- Online Calculation for the Optimal Reclosing Time of Transmission Lines (2016) (7)
- Special Issue on Computational Intelligence in Smart Grid [Guest Editorial] (2011) (6)
- A cascading failure simulation model considering frequency dynamics and power flow distribution (2015) (6)
- Weakly supervised object localization with deep convolutional neural network based on spatial pyramid saliency map (2017) (6)
- Pedestrian Flow Optimization to Reduce the Risk of Crowd Disasters Through Human–Robot Interaction (2020) (6)
- Two-time-scale online actor-critic paradigm driven by POMDP (2010) (6)
- APLNet: Attention-enhanced progressive learning network (2020) (6)
- Computational Energy Management in Smart Grids (2015) (6)
- A Novel Scheduling Strategy for Controllable Loads With Power-Efficiency Characteristics (2020) (6)
- Active Dictionary Learning in Sparse Representation Based Classification (2014) (6)
- Learning from testing data: A new view of incremental semi-supervised learning (2008) (5)
- Information Generative Bayesian Adversarial Networks: A Representation Learning Model for Transmission Gear Parameters (2019) (5)
- A comparative study between motivated learning and reinforcement learning (2015) (5)
- Reinforcement learning based adaptive rate control for delay-constrained communications over fading channels (2010) (5)
- Classification and Control of Cognitive Radios Using Hierarchical Neural Network (2010) (5)
- A Local Density-Based Approach for Local Outlier Detection (2016) (5)
- Adaptive Supplementary Damping Control of VSC-HVDC for Interarea Oscillation Using GrHDP (2018) (5)
- Compact Extreme Learning Machines for biological systems (2010) (5)
- Machine Learning with Applications to Autonomous Systems (2015) (5)
- Q-Learning for Non-Cooperative Channel Access Game of Cognitive Radio Networks (2018) (5)
- A Hierarchical Self-organizing Associative Memory for Machine Learning (2007) (4)
- Online Dynamic Value System for Machine Learning (2007) (4)
- Hybrid approximate dynamic programming approach for dynamic optimal energy flow in the integrated gas and power systems (2017) (4)
- Imbalanced learning for pattern recognition: an empirical study (2010) (4)
- Event-Triggered Privacy-Preserving Average Consensus for Multiagent Networks With Time Delay: An Output Mask Approach (2019) (4)
- Predictive event-triggered control based on heuristic dynamic programming for nonlinear continuous-time systems (2015) (4)
- Social computing research map (2010) (4)
- A boundedness theoretical analysis for GrADP design: A case study on maze navigation (2015) (4)
- Hybrid learning based on Multiple Self-Organizing Maps and Genetic Algorithm (2011) (4)
- Hybrid classification with partial models (2014) (4)
- Evaluation of Communication Delay Based Attack Against the Smart Grid (2020) (4)
- Imbalanced Learning for Cooperative Spectrum Sensing in Cognitive Radio Networks (2019) (4)
- Transient overvoltage control for a wind farm based on goal representation adaptive dynamic programming (2014) (4)
- A Geometric Approach to Second-Order Consensus of Heterogeneous Networked Systems. (2018) (4)
- Optimal Feedback Control of Pedestrian Flow in Heterogeneous Corridors (2021) (4)
- Incremental clustering-based spam image filtering using representative images (2011) (4)
- On the design of a broadband low impedance load mitigating coupling unit for efficiency OFDM signal power transfer maximization through the PLC network (2002) (4)
- Robust Distributed Adaptive Containment Control of Heterogeneous Linear Uncertain Multi-Agent Systems (2018) (4)
- Adaptive Iterative Learning for Classification based on Feature Selection and Combination Voting (2007) (4)
- State space reconstruction from noisy nonlinear time series: An autoencoder-based approach (2017) (4)
- Topological analysis of cascading failures in Bay Area power grid (2012) (3)
- Data-driven robust regulation of nonlinear systems with mismatched disturbances (2017) (3)
- Ultrafast Active Response Strategy against Malfunction Attack on Fault Current Limiter (2020) (3)
- Robust Frequency Control of Power Systems Under Time-varying Loads (2019) (3)
- ISO2002: an analytical stochastic model of multi-difference GPS carrier-phase data (2004) (3)
- Deep Transfer Cooperative Sensing in Cognitive Radio (2021) (3)
- Multiple human detection and tracking by using multiple-stage HOG detector and PFGPDM (2009) (3)
- Optimized control of DFIG based wind generation using swarm intelligence (2013) (3)
- A Fault-Tolerant Location Approach for Transient Voltage Disturbance Source Based on Information Fusion (2016) (3)
- A novel portfolio optimization method for foreign currency investment (2009) (3)
- Editorial to Special Issue: Neural networks for pattern recognition and data mining (2008) (3)
- Diversity of cascading failure processes in electrical grids (2015) (3)
- ADL: Active dictionary learning for sparse representation (2017) (3)
- Online Microgrid Energy Management Based on Safe Deep Reinforcement Learning (2021) (3)
- Convergence Proof of Approximate Policy Iteration for Undiscounted Optimal Control of Discrete-Time Systems (2015) (3)
- Post-Storm Vehicle Routing for Distribution Grid Restoration: An OLUCT Based Learning Approach (2020) (3)
- FSMJ: Feature selection with maximum Jensen-Shannon divergence for text categorization (2016) (3)
- Dynamic Spectrum Access for Femtocell Networks: A Graph Neural Network Based Learning Approach (2020) (3)
- Adaptive Signal Detection and Parameter Estimation in Unknown Colored Gaussian Noise (2016) (3)
- Adaptive-critic-based event-driven nonlinear robust state feedback (2016) (3)
- Neural Network Based Distributed Consensus Control for Heterogeneous Multi-agent Systems (2018) (3)
- Real-time Energy Management for the Integrated Heat and Power System Using Approximate Dynamic Programming (2020) (2)
- Performance Analysis of COMPASS/GPS Code Differential Positioning (2013) (2)
- Resilient wide-area damping control for interarea oscillation considering communication failure (2017) (2)
- Experimental investigation of lift enhancement for flying wing aircraft using nanosecond DBD plasma actuators (2017) (2)
- Advancing motivated learning with goal creation (2014) (2)
- A distributed optical fiber sensing system for data center thermal monitoring (2018) (2)
- Advances in Knowledge Discovery and Data Analysis for Artificial Intelligence (2011) (2)
- Distributed Volt-VAR Optimization based on Multi-Agent Deep Reinforcement Learning (2021) (2)
- One-Shot Unsupervised Domain Adaptation for Object Detection (2020) (2)
- Analysis method on parameter identifiabilityfor excitation system model of generator (2014) (2)
- Nucleus Neural Network for Super Robust Learning (2019) (2)
- DensityRank: A novel feature ranking method based on kernel estimation (2009) (2)
- Dynamic Power Sharing and Autonomous Voltage Regulation in Islanded DC Microgrids (2019) (2)
- A modified PSO based particle filter algorithm for object tracking (2013) (2)
- Learning and modelling big data (2014) (2)
- Impact of signal transmission delays on power system damping control using heuristic dynamic programming (2014) (2)
- Optimization of Merging Pedestrian Flows Based on Adaptive Dynamic Programming (2019) (2)
- The Principle and Preliminary Validation of a New Subchannel Code (2013) (2)
- An high-efficient online reinforcement learning algorithm for continuous-state systems (2014) (2)
- Dynamic Neural Networks for Model-Free Control and Identification (2012) (2)
- Numerical Simulation and Analysis of Three Dimensional Flow Field of a Counter-Rotating Fan with Various Angles (2013) (2)
- The principles of intention computing (2009) (2)
- Numerical simulation and performance analysis of a mining counter-rotating fan (2013) (1)
- Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming (2019) (1)
- Adaptive Dynamic Programming for Machine Intelligence (2011) (1)
- Policy iteration for optimal control of weakly coupled nonlinear systems with completely unknown dynamics (2016) (1)
- Convergence analysis of GrDHP-based optimal control for discrete-time nonlinear system (2016) (1)
- Unsteady numerical simulation of missile trajectories with attitude control law (2017) (1)
- SENTIMENT FEATURES FOR YELP NOT-RECOMMENDED ONLINE REVIEWS STUDY (2018) (1)
- A Boost Voting Strategy for Knowledge Integration and Decision Making (2008) (1)
- A Multiscale Probability Model for Intrusion Detection Systems (2007) (1)
- Editorial: Another Successful Year and Looking Forward to 2020 (2020) (1)
- Editorial: A Successful Year and Looking Forward to 2017 and Beyond (2017) (1)
- Event-triggered Multi-agent Optimal Regulation Using Adaptive Dynamic Programming (2020) (1)
- Intelligence for Embedded Systems: A Methodological Approach [Book Review] (2014) (1)
- Dynamically Self-reconfigurable Systems for Machine Intelligence (2006) (1)
- Dual heuristic dynamic programming based event-triggered control for nonlinear continuous-time systems (2016) (1)
- Reflex-Tree : A Biologically Inspired Architecture for Future Smart Cities (2014) (1)
- Growth and Success - Looking Forward to 2018 and Beyond (2018) (1)
- Editorial: Booming of Neural Networks and Learning Systems (2019) (1)
- Multi-objects recognition for distributed intelligent sensor networks (2008) (1)
- Hil Validation of Extended-Range Electric Vehicle Control Unit Based on Orthogonal Test (2013) (1)
- CIS Publication Spotlight Publication Spotlight (2016) (1)
- Special Issue Editorial: Computational Intelligence and Applications (2013) (1)
- Online energy flow control for residential microgrids with URGs: An event-driven approach (2017) (1)
- Nucleus Neural Network: A Data-driven Self-organized Architecture (2019) (1)
- Distributed Finite-Time Economic Dispatch for Islanded Microgrids (2020) (1)
- Dynamic adaptive learning for decision-making supporting systems (2008) (1)
- Performance of Triple-Frequency High-Precision RTK Positioning with Compass (2012) (1)
- Special issue on life system modeling and bio-inspired computing for LSMS 2007 (2008) (1)
- Conference Report on 2015 International Joint Conference on Neural Networks (IJCNN 2015) [Conference Reports] (2016) (0)
- AFRL-RY-WP-TR-2013-0083 THE EXPONENTIALLY EMBEDDED FAMILY OF DISTRIBUTIONS FOR EFFECTIVE DATA REPRESENTATION , INFORMATION EXTRACTION , AND DECISION MAKING (2013) (0)
- CIS Publication Spotlight [Publication Spotlight] (2018) (0)
- Learning in semi-supervised model and sparse model (2012) (0)
- Intelligent computing and applications (LSMS and ICSEE 2010) (2012) (0)
- Redundancy Estimation and Adaptive Density Control in Wireless Sensor Networks (2010) (0)
- Sampled-data-based tracking for heterogeneous nonlinear second-order multiagent systems (2017) (0)
- Distributed Finite-Time Secondary Control for AC Microgrids With Mobile Power Resource and Communication Time-delays (2021) (0)
- Proceedings of the Second international conference on Advances in neural networks - Volume Part II (2005) (0)
- Modelling and Analysis on Smart Grid Against Smart Attacks (2020) (0)
- CIS Publication Spotlight [Publication Spotlight] (2015) (0)
- Analyze of the Pseudorange Noise Error for Compass B1 Open Signal Based on the Receiver (2013) (0)
- Online learning control based on projected gradient temporal difference and advanced heuristic dynamic programming (2014) (0)
- Optimal real-time operation strategy for microgrid: ADP based stochastic nonlinear optimization (2020) (0)
- Statistical learning and data mining in biological databases (2009) (0)
- CIS Publication Spotlight [Publication Spotlight] (2018) (0)
- A Note on Orthogonality of The Finite Element Multiwavelets (2007) (0)
- Tong Zhou [People in Control] (2018) (0)
- AlphaZero Based Post-Storm Vehicle Routing for Distribution Grid Restoration (2020) (0)
- Simulation of the temperature field of annulus multiphase flow in foam drilling (2010) (0)
- Evolutionary Search for Energy-Efficient Distributed Cooperative Spectrum Sensing (2020) (0)
- Solving Nonlinear Zero-Sum Game with Completely Unknown Dynamics via Iterative Adaptive Dynamic Programming (2015) (0)
- CIS Publication Spotlight [Publication Spotlight] (2017) (0)
- CIS Publication Spotlight [Publication Spotlight] (2022) (0)
- Multi-view Semi-Supervised Learning for Cooperative Spectrum Sensing (2021) (0)
- Editorial Mathematical Problems for Complex Systems (2018) (0)
- CIS Publication Spotlight [Publication Spotlight] (2020) (0)
- The Exponentially Embedded Family of Distributions for Effective Data Representation, Information Extraction, and Decision Making (2013) (0)
- CIS Publication Spotlight [Publication Spotlight] (2019) (0)
- CIS Publication Spotlight [Publication Spotlight] (2022) (0)
- Effects of Plasma Actuator Discharge on Lift-Enhancement and Flow Patterns of Flying Wing Aircraft (2018) (0)
- Self-learning optimal guaranteed cost control of input-affine continuous-time nonlinear systems under uncertain environment (2016) (0)
- Editorial: Staying Healthy and Strong Together (2021) (0)
- CIS Publication Spotlight [Publication Spotlight] (2020) (0)
- A New Web Home for the IEEE CIS [Society Briefs] (2012) (0)
- Vulnerability and Forensics associated with the Smart Grid: Cyber Attacks (2019) (0)
- Inter-connected power system frequency stability with wind penetration by using Fuzzy-GrHDP (2017) (0)
- Novel IterativeNeuralDynamicProgramming for Data-BasedApproximateOptimalControlDesign ⋆ (2017) (0)
- CIS Publication Spotlight [Publication Spotlight] (2018) (0)
- A Hybrid Evolving and Gradient Strategy for Approximating Policy Evaluation on Online Critic-Actor Learning (2012) (0)
- 3. Imbalanced Learning (2011) (0)
- Special Issue Editorial: Advances in Computational Intelligence and Applications (2010) (0)
- Mathematical Problems for Complex Systems (2015) (0)
- 4. Ensemble Learning (2011) (0)
- A New Method for the Estimation of GPS Repeater Jamming Based on Coloured Noise Kalman Filter (2011) (0)
- CIS Publication Spotlight [Publication Spotlight] (2021) (0)
- CIS Publication Spotlight [Publication Spotlight] (2018) (0)
- Guest editorial for special issue on control and optimization in renewable energy systems (2017) (0)
- Conference Report for 2014 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014) [Conference Reports] (2015) (0)
- Challenges of Embodied Intelligence ( Invited Paper ) (2006) (0)
- Pinning Synchronization in Heterogeneous Networks of Harmonic Oscillators (2017) (0)
- Heuristic dynamic programming with internal goal representation (2013) (0)
- CIS Publication Spotlight [Publication Spotlight] (2018) (0)
- Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III (2005) (0)
- Numerical prediction methods for clock deviation based on two-way satellite time and frequency transfer data (2008) (0)
- Static Aeroelastic Optimization Design and Verification of Composite Wing with Large Sweep Angle (2018) (0)
- 2. Incremental Learning (2011) (0)
- Kernel-based generative learning in distortion feature space (2016) (0)
- Multitarget tracking in complex visual environment (2009) (0)
- PICOBLAZE BASED SELF ORGANIZING LEARNING ARRAY AND ITS EXPERIMENTAL SETTING (2004) (0)
- PAGE ( SF 298 ) ( Continuation Sheet ) Continuation for Block 13 ARO Report (2015) (0)
- CIS Publication Spotlight [Publication Spotlight] (2019) (0)
- Optimal Power Sharing Control for DC Microgrids via Adaptive Dynamic Programming (2018) (0)
- Research on Electromagnetic Vibration Behavior of Direct Current Motors (2012) (0)
- CIS Publication Spotlight [Publication Spotlight] (2021) (0)
- 7. Sequence Learning (2011) (0)
- One-step Predictive Encoder - Gaussian Segment Model for Time Series Anomaly Detection (2020) (0)
- On-Line Energy Management of Microgrid via Parametric Cost Function Approximation (2020) (0)
- Hardware Design for Machine Intelligence (2011) (0)
- Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks (2007) (0)
- Kernel Density Estimation with Stream Data Based on (2011) (0)
- CIS Publication Spotlight [Publication Spotlight] (2020) (0)
- Guest Editorial Special Section on Computational Intelligence Applications in Smart Grid (2013) (0)
- Heuristic dynamic programming with internal goal representation Report Title (2015) (0)
- CIS Publication Spotlight [Publication Spotlight] (2016) (0)
- The Design and Implementation of an Acquisition Scheme for Weak GNSS Signal (2015) (0)
- Chance constraint based risk-aware optimal power flow for cascading failure prevention (2016) (0)
- 6. Associative Learning (2011) (0)
- Damping control design for pulse width modulation series compensator using GrHDP (2017) (0)
- CIS Publication Spotlight [Publication Spotlight] (2019) (0)
- MILE: A minimally interactive learning framework for visual data analysis (2018) (0)
- Kernel density estimation with stream data based on self-organizing map (2011) (0)
This paper list is powered by the following services: