Haibo He
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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
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(Suggest an Edit or Addition)Haibo He's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
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)
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- Data-driven robust regulation of nonlinear systems with mismatched disturbances (2017) (3)
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- ADL: Active dictionary learning for sparse representation (2017) (3)
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