Tshilidzi Marwala | Academic Influence

Tshilidzi Marwala's AcademicInfluence.com Rankings

Tshilidzi Marwala

Engineering

#515

World Rank

#865

Historical Rank

Mechanical Engineering

#158

World Rank

#187

Historical Rank

Applied Physics

#1365

World Rank

#1394

Historical Rank

engineering Degrees

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Engineering

Tshilidzi Marwala's Degrees

Masters Mechanical Engineering University of Pretoria
Bachelors Mechanical Engineering University of Cape Town

Why Is Tshilidzi Marwala Influential?

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According to Wikipedia, Tshilidzi Marwala is a South African artificial intelligence engineer, a computer scientist, a mechanical engineer and a university administrator. He is currently Rector of the United Nations University and UN Under-Secretary-General. In August 2023 Marwala was appointed to the United Nations scientific advisory council.

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Tshilidzi Marwala'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

The Agency Theory (2020) (357)
Finite Element Model Updating Using Computational Intelligence Techniques: Applications to Structural Dynamics (2010) (224)
The use of genetic algorithms and neural networks to approximate missing data in database (2005) (190)
Finite-element-model Updating Using Computional Intelligence Techniques (2010) (181)
Computational Intelligence for Missing Data Imputation, Estimation, and Management - Knowledge Optimization Techniques (2009) (165)
Missing data: A comparison of neural network and expectation maximization techniques (2007) (163)
Implications of the Fourth Industrial Age on Higher Education (2017) (136)
EARLY CLASSIFICATIONS OF BEARING FAULTS USING HIDDEN MARKOV MODELS, GAUSSIAN MIXTURE MODELS, MEL-FREQUENCY CEPSTRAL COEFFICIENTS AND FRACTALS (2006) (92)
DAMAGE IDENTIFICATION USING COMMITTEE OF NEURAL NETWORKS (2000) (87)
Autoencoder networks for HIV classification (2006) (85)
Physico-chemical, Tensile, and Thermal Characterization of Napier Grass (Native African) Fiber Strands (2013) (81)
FAULT IDENTIFICATION USING FINITE ELEMENT MODELS AND NEURAL NETWORKS (1999) (79)
Image Classification Using SVMs: One-against-One Vs One-against-All (2007) (79)
Finite Element Model Updating Using Bayesian Framework and Modal Properties (2005) (73)
Water Demand Prediction using Artificial Neural Networks and Support Vector Regression (2008) (72)
Fault classification in structures with incomplete measured data using autoassociative neural networks and genetic algorithm (2006) (72)
Model selection in finite element model updating using the Bayesian evidence statistic (2011) (70)
Probabilistic Fault Identification Using a Committee of Neural Networks and Vibration Data (2001) (66)
A new T-S fuzzy model predictive control for nonlinear processes (2017) (64)
Bayesian Training of Neural Networks Using Genetic Programming (2006) (64)
A dynamic programming approach to missing data estimation using neural networks (2013) (64)
Militarized Conflict Modeling Using Computational Intelligence (2011) (61)
Agent-based modelling: a case study in HIV epidemic (2004) (57)
Causality, Correlation and Artificial Intelligence for Rational Decision Making (2015) (56)
Stochastic Optimization Approaches for Solving Sudoku (2008) (56)
Condition Monitoring Using Computational Intelligence Methods (2012) (56)
Artificial Neural Networks and Support Vector Machines for water demand time series forecasting (2007) (55)
Machine and component residual life estimation through the application of neural networks (2007) (52)
Extraction, modification, and characterization of natural ligno-cellulosic fiber strands from napier grass (2016) (52)
Missing Data Imputation Through the Use of the Random Forest Algorithm (2009) (50)
The use of entropy to measure structural diversity (2008) (50)
Finite Element Model Updating Using the Shadow Hybrid Monte Carlo Technique (2015) (48)
Economic Modeling Using Artificial Intelligence Methods (2013) (47)
Faults Detection Using Gaussian Mixture Models, Mel-Frequency Cepstral Coefficients and Kurtosis (2006) (45)
Hidden Markov Models and Gaussian Mixture Models for Bearing Fault Detection Using Fractals (2006) (44)
Artificial Intelligence and Economic Theory: Skynet in the Market (2017) (43)
Blockchain and Artificial Intelligence (2018) (43)
Bayesian inference of COVID-19 spreading rates in South Africa (2020) (43)
Finite Element Model Updating Using Wavelet Data and Genetic Algorithm (2002) (42)
Multiple-Criterion Method for Determining Structural Damage (1998) (42)
Single-trial EEG discrimination between wrist and finger movement imagery and execution in a sensorimotor BCI (2011) (39)
Perturb and observe based on fuzzy logic controller maximum power point tracking (MPPT) (2014) (39)
Finite Element Model Updating Using Response Surface Method (2004) (38)
Probabilistic Finite Element Model Updating Using Bayesian Statistics: Applications to Aeronautical and Mechanical Engineering (2016) (37)
Finite element model updating using fish school search and volitive particle swarm optimization (2015) (36)
An intelligent Multi-Agent recommender system for human capacity building (2008) (33)
Artificial Intelligence Techniques for Rational Decision Making (2014) (31)
Using Inverse Neural Network for HIV Adaptive Control (2007) (30)
Multi-class Protein Sequence Classification Using Fuzzy ARTMAP (2006) (30)
Missing Data Estimation in High-Dimensional Datasets: A Swarm Intelligence-Deep Neural Network Approach (2016) (29)
Prediction of HIV Status from Demographic Data Using Neural Networks (2006) (28)
Modeling of missing data prediction: Computational intelligence and optimization algorithms (2014) (28)
Mechanical Properties, Water Absorption, and Chemical Resistance of Napier Grass Fiber Strand–Reinforced Epoxy Resin Composites (2014) (27)
A note on the separability index (2008) (27)
Partial imputation of unseen records to improve classification using a hybrid multi-layered artificial immune system and genetic algorithm (2013) (26)
Treatment of missing data using neural networks and genetic algorithms (2005) (26)
Forecasting closing price indices using neural networks (2006) (26)
American option pricing using multi-layer perceptron and support vector machine (2004) (25)
Water Demand Forecasting Using Multi-layer Perceptron and Radial Basis Functions (2007) (25)
Rough Set Theory for the Treatment of Incomplete Data (2007) (24)
Neural Networks, Fuzzy Inference Systems and Adaptive-Neuro Fuzzy Inference Systems for Financial Decision Making (2006) (24)
Using Genetic Algorithms to Optimise Rough Set Partition Sizes for HIV Data Analysis (2007) (24)
Electric Power Grids Distribution Generation System for Optimal Location and Sizing—A Case Study Investigation by Various Optimization Algorithms (2017) (24)
Experimental comparison of support vector machines with random forests for hyperspectral image land cover classification (2014) (23)
Microarray data feature selection using hybrid genetic algorithm simulated annealing (2012) (23)
Artificial intelligence for conflict management (2005) (23)
Fuzzy Artmap and Neural Network Approach to Online Processing of Inputs with Missing Values (2007) (22)
Ant-based distributed denial of service detection technique using roaming virtual honeypots (2016) (22)
An adaptive fuzzy predictive control of nonlinear processes based on Multi-Kernel least squares support vector regression (2018) (22)
Detection of epileptiform activity in human EEG signals using Bayesian neural networks (2005) (22)
Condition Monitoring of HV Bushings in the Presence of Missing Data Using Evolutionary Computing (2007) (22)
Missing Data Estimation using Principle Component Analysis and Autoassociative Neural Networks (2009) (21)
Sampling Techniques in Bayesian Finite Element Model Updating (2011) (21)
Deep Learning and Missing Data in Engineering Systems (2018) (21)
Hyperspectral image classification using random forests and neural networks (2012) (20)
Finite element model updating using Hamiltonian Monte Carlo techniques (2017) (20)
Modeling and controlling interstate conflict (2004) (19)
Assessing Different Bayesian Neural Network Models for Militarized Interstate Dispute (2006) (19)
Finite element model selection using Particle Swarm Optimization (2009) (19)
Adopt Fast, Adapt Quick: Adaptive Approaches in the South African Context (2018) (19)
Online Forecasting of Stock Market Movement Direction Using the Improved Incremental Algorithm (2006) (19)
Autoencoder, Principal Component Analysis and Support Vector Regression for Data Imputation (2007) (19)
On Data-Driven Management of the COVID-19 Outbreak in South Africa (2020) (18)
Controlling Interstate Conflict using Neuro-fuzzy Modeling and Genetic Algorithms (2006) (18)
Fingerprint segmentation: an investigation of various techniques and a parameter study of a variance-based method (2011) (18)
Neuro-fuzzy Modeling and Fuzzy Rule Extraction Applied to Conflict Management (2006) (18)
Computational intelligence and decision trees for missing data estimation (2008) (18)
A rough set theory based predictive model for stock prices (2011) (18)
Estimation of Missing Data Using Computational Intelligence and Decision Trees (2007) (17)
Foundations for a Developmental State: A case for technical education (2009) (17)
Neural Network Based Techniques for Estimating Missing Data in Databases (2005) (17)
Finite-element-model Updating Using a Bayesian Approach (2007) (17)
Artificial intelligence, at Africa’s door (2019) (16)
Evaluating the Impact of Missing Data Imputation (2008) (16)
Scalability and Optimisation of a Committee of Agents Using Genetic Algorithm (2007) (16)
Simulation of a trading multi-agent system (2001) (16)
Probabilistic fault identification using vibration data and neural networks (2001) (16)
Neuro-rough models for modelling HIV (2008) (16)
Option pricing using a committee of neural networks and optimized networks (2004) (15)
Rethinking k-means clustering in the age of massive datasets: a constant-time approach (2019) (15)
Computational Intelligence in Used Products Retrieval and Reproduction (2013) (15)
Imputation of Missing Data Using PCA, Neuro-Fuzzy and Genetic Algorithms (2009) (15)
Healing Products of Gaussian Process Experts (2020) (15)
A Hybrid Fuzzy-SVM classifier, applied to gene expression profiling for automated leukaemia diagnosis (2008) (15)
Optimised rough sets for modelling interstate conflict (2008) (15)
Neural Network Applications in Advanced Aircraft Flight Control System, a Hybrid System, a Flight Test Demonstration (2006) (15)
Dynamic Software Maintenance Effort Estimation Modeling Using Neural Network, Rule Engine and Multi-regression Approach (2012) (15)
Bushing Fault Detection and Diagnosis using Extension Neural Network (2006) (15)
Rough Sets Computations to Impute Missing Data (2007) (15)
Application of artificial intelligence (AI) methods for designing and analysis of reconfigurable cellular manufacturing system (RCMS) (2009) (15)
Finite-element-model Updating Using Particle-swarm Optimization (2010) (15)
Automated Detection of Human Users in Twitter (2015) (15)
Genetic Algorithm Based Incremental Learning For Optimal Weight and Classifier Selection (2007) (15)
Fault Classification Using Pseudomodal Energies and Neural Networks (2003) (14)
An Extension Neural Network and Genetic Algorithm for Bearing Fault Classification (2006) (14)
Artificial Intelligence in Reverse Supply Chain Management: The State of the Art (2010) (14)
Social Learning methods in board game agents (2008) (14)
Classification of Images Using Support Vector Machines (2007) (14)
Application of Feature Selection and Fuzzy ARTMAP to Intrusion Detection (2006) (14)
Evaluating the Impact of Missing Data Imputation through the use of the Random Forest Algorithm (2008) (14)
Proposition of a Theoretical Model for Missing Data Imputation using Deep Learning and Evolutionary Algorithms (2015) (13)
Estimating Missing Data and Determining the Confidence of the Estimate Data (2008) (13)
Can ant algorithms make automated guided vehicle system more intelligent? (2010) (13)
IS DAMAGE IDENTIFICATION USING VIBRATION DATA IN A POPULATION OF CYLINDERS FEASIBLE (2000) (13)
Fault Identification Using Pseudomodal Energies and Modal Properties (2001) (13)
Response Prediction of Structural System Subject to Earthquake Motions using Artificial Neural Network (2007) (13)
Antithetic Magnetic and Shadow Hamiltonian Monte Carlo (2021) (12)
Precise detection of speech endpoints dynamically: A wavelet convolution based approach (2018) (12)
Nonstationarity Detection: The Use of the Cross Correlation Integral in ECG, and EEG Profile Analysis (2008) (12)
Hybrid Fuzzy Recommendation System for Enhanced E-learning (2018) (12)
Using Optimisation Techniques to Granulise Rough Set Partitions (2007) (12)
Handling Missing Data from Heteroskedastic and Nonstationary Data (2007) (12)
An efficient educational data mining approach to support e-learning (2017) (12)
Common Mistakes when Applying Computational Intelligence and Machine Learning to Stock Market modelling (2012) (12)
The Effect of Structural Diversity of an Ensemble of Classifiers on Classification Accuracy (2008) (12)
Ant colony optimization for automated storage and retrieval system (2010) (11)
Incremental Learning for Classification of Protein Sequences (2007) (11)
Evolving Classifiers: Methods for Incremental Learning (2007) (11)
Handbook of Machine Learning - Volume 1: Foundation of Artificial Intelligence (2018) (11)
Improving Speaker Identification Rate Using Fractals (2006) (11)
Separable Shadow Hamiltonian Hybrid Monte Carlo for Bayesian Neural Network Inference in wind speed forecasting (2021) (11)
An Integrated Human–Computer System for Controlling Interstate Disputes (2007) (11)
Artificial Intelligence Techniques for Steam Generator Modelling (2008) (11)
Caller Behaviour Classification Using Computational Intelligence Methods (2010) (11)
Time Series Analysis Using Fractal Theory and Online Ensemble Classifiers (2006) (11)
Artificial Intelligence in Economics and Finance Theories (2020) (11)
Conflict Modelling and Knowledge Extraction using Computational Intelligence Methods (2007) (11)
An Efficient web services framework for secure Data collection Wireless sensor Network (2015) (11)
Scaled conjugate gradient and Bayesian training of neural networks for fault identification in cylinders (2001) (10)
Condition monitoring of oil-impregnated paper bushings using Extension Neural Network, Gaussian Mixture and Hidden Markov Models (2008) (10)
Multi-scale fractal dimension for speaker identification system (2006) (10)
A Population-Based Incremental Learning approach to microarray gene expression feature selection (2010) (10)
Incremental Learning and Its Application to Bushing Condition Monitoring (2007) (10)
Investigation into the use of Autoencoder Neural Networks, Principal Component Analysis and Support Vector Regression in estimating missing HIV data (2008) (10)
Smart Maintenance for Human–Robot Interaction (2018) (10)
Part-Machine Clustering: The Comparison between Adaptive Resonance Theory Neural Network and Ant Colony System (2010) (9)
Multi-Agent Modeling Using Intelligent Agents in the Game of Lerpa (2007) (9)
k-Means-Lite: Real Time Clustering for Large Datasets (2018) (9)
Condition Monitoring Using Computational Intelligence (2008) (9)
Fault Classification using Pseudomodal Energies and Probabilistic Neural Networks (2004) (9)
The Synergy of Blockchain and Artificial Intelligence (2018) (9)
Missing Data Prediction and Classification: The Use of Auto-Associative Neural Networks and Optimization Algorithms (2014) (9)
Hybrid optimization algorithm to the problem of Distributed Generation power losses (2016) (9)
Two-Stage Inter-Cell Layout Design for Cellular Manufacturing by Using Ant Colony Optimization Algorithms (2010) (9)
Artificial neural network and rough set for HV bushings condition monitoring (2011) (9)
Online Incremental Learning for High Voltage Bushing Condition Monitoring (2007) (9)
An application of SVM, RBF and MLP with ARD on bushings (2004) (9)
Finite Element Model Updating Using the Separable Shadow Hybrid Monte Carlo Technique (2014) (9)
Optimization of the compressed air-usage in South African mines (2011) (9)
Flexibly-bounded Rationality and Marginalization of Irrationality Theories for Decision Making (2013) (8)
On-Line Condition Monitoring using Computational Intelligence (2007) (8)
Effect of Acid Treatment on the Chemical, Structural, Thermal and Tensile Properties of Napier Grass Fibre Strands (2014) (8)
Ontological basis for open distributed multi-Agent system. (2001) (8)
A Differential Evaluation Markov Chain Monte Carlo algorithm for Bayesian Model Updating (2017) (8)
Automatic Relevance Determination Bayesian Neural Networks for Credit Card Default Modelling (2019) (8)
Semi-bounded Rationality: A model for decision making (2013) (8)
Introduction to Missing Data (2009) (8)
Comparison of Data Imputation Techniques and their Impact (2008) (8)
A Deep Learning-Cuckoo Search Method for Missing Data Estimation in High-Dimensional Datasets (2017) (8)
Key Issues on Computational Intelligence Techniques for Missing Data Imputation – A Review (2008) (8)
Classification of web resident sensor resources using Latent Semantic Indexing and ontologies (2008) (8)
An Effective ODAIDS-HPS Approach for Preventing, Detecting and Responding to DDoS Attacks (2015) (8)
Learning to bluff (2007) (8)
Honey Pot: A Major Technique for Intrusion Detection (2016) (8)
Fuzzy finite element model updating using metaheuristic optimization algorithms (2017) (8)
Computational Intelligence Methods for Risk Assessment of HIV (2007) (8)
Neural networks on transformer fault detection evaluating the relevance of the input space parameters (2011) (8)
Predicting mine dam levels and energy consumption using artificial intelligence methods (2013) (7)
Morphological, structural and thermal characterization of acetic acid modified and unmodified napier grass fiber strands (2013) (7)
A multivariate additive noise model for complete causal discovery (2018) (7)
Finite Element Model Updating Using an Evolutionary Markov Chain Monte Carlo Algorithm (2015) (7)
Magnetic Hamiltonian Monte Carlo With Partial Momentum Refreshment (2021) (7)
e-RL : the Internet of things supported reverse logistics for remanufacture-to-order (2011) (7)
The Artificial Larynx: A Review of Current Technology and a Proposal for Future Development (2008) (7)
An Enhanced Security Pattern for Wireless Sensor Network (2016) (7)
Moving towards accurate monitoring and prediction of gold mine underground dam levels (2014) (7)
Estimating Missing Data Using Neural Network Techniques , Principal Component Analysis and Genetic Algorithms (2007) (7)
Predictive modeling for default risk using a multilayered feedforward neural network with Bayesian regularization (2013) (6)
Introduction to Missing Data Estimation (2018) (6)
Principal Component Analysis and Automatic Relevance Determination in Damage Identification (2007) (6)
Otoacoustic Emissions: A Review on Existing Human Auditory System Modelling Approaches (2011) (6)
Bayesian Automatic Relevance Determination for Feature Selection in Credit Default Modelling (2019) (6)
The limit of artificial intelligence: Can machines be rational? (2018) (6)
Creativity and Artificial Intelligence: A Digital Art Perspective (2018) (6)
Effect of Scan Velocity on Resulting Curvatures during Laser Beam Bending of AISI 1008 Steel Plates (2011) (6)
Improving the Performance of the Ripper in Insurance Risk Classification - A Comparitive Study using Feature Selection (2011) (6)
Near-Field Artifact Reduction using Realistic Limited-Field-of-View Coded Apertures in Planar Nuclear Medicine Imaging (2007) (6)
Interactive Voice Response field classifiers (2008) (6)
A study in a hybrid centralised-swarm agent community (2005) (6)
Ethnicity Prediction and Classification from Iris Texture Patterns: A Survey on Recent Advances (2016) (6)
PAM-lite: fast and accurate k-medoids clustering for massive datasets (2019) (6)
Antithetic Riemannian Manifold And Quantum-Inspired Hamiltonian Monte Carlo (2021) (6)
The Fuzzy Gene Filter: An Adaptive Fuzzy Inference System for Expression Array Feature Selection (2010) (6)
Suitability of using technical indicator-based Strategies as potential strategies within intelligent trading systems (2011) (6)
Application of GA-Fuzzy Controller design to Automatic Generation Control (2010) (6)
Speech Emotion Recognition Using Neural Network and Wavelet Features (2019) (6)
Use of Data Mining in Scheduler Optimization (2010) (6)
Using optimisation techniques for discretizing rough set partitions (2008) (6)
Missing Data Estimation Using Ant-Lion Optimizer Algorithm (2018) (6)
Automatic detection of outliers and the number of clusters in k-means clustering via Chebyshev-type inequalities (2022) (6)
Adaptive Neuro Fuzzy Inference System, Neural Network and Support Vector Machine for Caller Behavior Classification (2011) (5)
Option Pricing Using Bayesian Neural Networks (2007) (5)
Introduction to Man and Machines (2017) (5)
Investigating the effects of ensemble classification on remotely sensed data for land cover mapping (2010) (5)
Missing Data Estimation Using Rough Sets (2009) (5)
Optimising the verification of patient positioning in proton beam therapy (2005) (5)
Optimising a targeted fund of strategies using genetic algorithms (2012) (5)
Fault Classification in Cylinders Using Multilayer Perceptrons, Support Vector Machines and Guassian Mixture Models (2007) (5)
Bayesian evidence for Finite element model updating (2008) (5)
Quantum-Inspired Magnetic Hamiltonian Monte Carlo (2021) (5)
Genetic Algorithms, Neural Networks, Fuzzy Inference System, Support Vector Machines for Call Performance Classification (2009) (5)
Emergency Centre Organization and Automated Triage System (2008) (5)
A Hybrid GA-PSO Adaptive Neuro-Fuzzy Inference System for Short-Term Wind Power Prediction (2018) (5)
Online Approaches to Missing Data Estimation (2009) (5)
Artificial intelligence as an aide in management of security technology (2007) (5)
Bushing diagnostics using an ensemble of parallel neural networks (2005) (5)
Pattern Recognition and Feature Selection for the Development of a New Artificial Larynx (2009) (5)
An svm multiclassifier approach to land cover mapping (2010) (5)
Artificial Intelligence and Asymmetric Information Theory (2015) (5)
Teaching - Learning-based optimization approach for enhancing remanufacturability pre-evaluation system's reliability (2013) (5)
$k$-Means-Lite++: The Combined Advantage of Sampling and Seeding (2019) (5)
A Survey of Classification Techniques in Speech Emotion Recognition (2020) (4)
Introduction to Intelligent Search Algorithms (2018) (4)
MULTICORE SCHEDULING BASED ON LEARNING FROM OPTIMIZATION MODELS (2013) (4)
Sampling Considerations and Resolution Enhancement in Ideal Planar Coded Aperture Nuclear Medicine Imaging (2007) (4)
Representing and classifying 2D shapes of real-world objects using neural networks (2004) (4)
Finite Element Model Updating Using Fish School Search Optimization Method (2013) (4)
Bayesian approach to rough set (2007) (4)
The applications of computational intelligence in radio frequency identification research (2012) (4)
Gaussian Mixture Models and Hidden Markov Models for Condition Monitoring (2012) (4)
State of the Art Review for Applying Computational Intelligence and Machine Learning Techniques to Portfolio Optimisation (2009) (4)
Investigating Demographic Influences for HIV Classification Using Bayesian Autoassociative Neural Networks (2009) (4)
Storage and retrieval machine travel route planning strategy in an automated material handling environment (2010) (4)
Partial imputation to improve predictive modelling in insurance risk classification using a hybrid positive selection algorithm and correlation-based feature selection (2012) (4)
Differentially Expressed Gene Identification Based on Separability Index (2009) (4)
Using Principal Component Analysis and Autoassociative Neural Networks to Estimate Missing Data in a Database (4)
Computational Intelligence for HIV Modelling (2008) (4)
Introduction to Human Robot Interaction (2018) (4)
HMM Speaker Identification Using Linear and Non-linear Merging Techniques (2007) (4)
Integrated Learning via Randomized Forests and Localized Regression With Application to Medical Diagnosis (2019) (4)
An Independent Evaluation of Subspace Face Recognition Algorithms (2007) (4)
Applications of computational intelligence for static software checking against memory corruption vulnerabilities (2013) (4)
Swarm intelligence in cellular manufacturing: application of hybrid ant system to manufacturing cell machine layout problem (2010) (4)
Notice of Violation of IEEE Publication Principles Agents and multi-agent systems and application to condition monitoring (2007) (4)
Application of computational intelligence for Source Code classification (2014) (4)
Influence of the auditory canal number of segments and radius variation on the outer ear frequency response (2012) (4)
Evolutionary Optimisation Methods for Template Based Image Registration (2007) (4)
Random ensemble feature selection for land cover mapping (2009) (4)
Predicting the Presence of Internet Worms using Novelty Detection (2007) (4)
Neural Network and Statistical Modeling of Software Development Effort (2012) (4)
Classification of Hyperspectral Images Using Machine Learning Methods (2014) (4)
Medical Image Segmentation and Localization using Deformable Templates (2007) (3)
On Robot Revolution and Taxation (2018) (3)
Tensile Properties of Long Untreated and Alkali Treated Napier Grass Fiber Strands/Epoxy Composites (2013) (3)
ENERGY USAGE OPTIMISATION IN SOUTH AFRICAN MINES (2014) (3)
High Transparency Coded Apertures in Planar Nuclear Medicine Imaging (2007) (3)
Computational intelligence techniques for modelling an economic system (2012) (3)
Adaptive Magnetic Hamiltonian Monte Carlo (2021) (3)
A comparative study between genetic algorithms and line search algorithm optimization for HIV predictions (2006) (3)
Optimization Methods for Estimation of Missing Data (2009) (3)
Control of Complex Systems Using Bayesian Networks and Genetic Algorithm (2007) (3)
Advancements and Role of Emotion Recognition in the 4th Industrial Revolution (2020) (3)
Missing Data Estimation Using Firefly Algorithm (2018) (3)
Detection and Avoidance of Routing Attack in Mobile Ad-hoc Network using Intelligent Node (2013) (3)
Enhancement of Noisy Planar Nuclear Medicine Images using Mean Field Annealing (2007) (3)
Smart Computing Applications in Crowdfunding (2018) (3)
Optimization of Fuzzy Inference System Field Classifiers Using Genetic Algorithms and Simulated Annealing (2012) (3)
Stochastic differential equations with imprecisely defined parameters in market analysis (2018) (3)
An Adaptive Markov Chain Monte Carlo Method for Bayesian Finite Element Model Updating (2016) (3)
Handbook of Machine Learning - Volume 2: Optimization and Decision Making (2019) (3)
Computational Intelligence for Condition Monitoring (2007) (3)
The Legitimacy Theory and the Legitimacy Gap (2020) (3)
Introduction to Artificial Intelligence in Economics and Finance Theories (2020) (3)
On the application of Bezier Surfaces for GA-Fuzzy controller design for use in Automatic Generation Control (2012) (3)
Performance of MPPT in Photovoltaic Systems Using GA-ANN Optimization Scheme (2018) (3)
Data Processing Techniques for Condition Monitoring (2012) (3)
Stealthy Attacks in MANET to Detect and Counter Measure by Ant Colony Optimization (2018) (3)
k- Means-MIND: An Efficient Alternative to Repetitive k-Means Runs (2020) (3)
Stock Price Prediction Using Sentiment Analysis (2021) (3)
System dynamics of active and passive postural changes: Insights from principal dynamic modes analysis of baroreflex loop (2018) (3)
Adaptively Setting the Path Length for Separable Shadow Hamiltonian Hybrid Monte Carlo (2021) (3)
Impact of Artificial Intelligence on Economic Theory (2015) (3)
Missing Data Estimation Using Bat Algorithm (2018) (3)
Deep learning-bat high-dimensional missing data estimator (2017) (3)
Organizational adaptation to Complexity: A study of the South African Insurance Market as a Complex Adaptive System through Statistical Risk Analysis (2011) (3)
Sensor Failure Compensation Techniques for HV Bushing Monitoring using Evolutionary Computing (2005) (3)
Computational Intelligence Approach to Condition Monitoring: Incremental Learning and Its Application (2009) (2)
Classification with missing data using multi-layered artificial immune systems (2012) (2)
Prediction of Platinum Prices Using Dynamically Weighted Mixture of Experts (2008) (2)
Suitability of using technical indicators as potential strategies within intelligent trading systems (2011) (2)
Automatic Detection of Pulmonary Embolism using Computational Intelligence (2007) (2)
Ethnicity Distinctiveness Through Iris Texture Features Using Gabor Filters (2017) (2)
Design of Encoding Calculator Software for Huffman and Shannon-Fano Algorithms (2011) (2)
Swarm Based Architecture for Defense Against Stealthy Attacks in Mobile Ad Hoc Network (2017) (2)
Feasibility of damage detection using vibration data in a population of cylinders (2000) (2)
Fuzzy and Multilayer Perceptron for Evaluation of HV Bushings (2006) (2)
Missing Data Estimation Using Invasive Weed Optimization Algorithm (2018) (2)
Cellular manufacturing system scheduling under fuzzy constraints: A group technology perspective (2010) (2)
Dynamic Model Updating Using Particle Swarm Optimization Method (2007) (2)
An Overview of Recent Advancements in Causal Studies (2017) (2)
Enhancing Intrusion Detection system Performance using Firecol Protection Services based honeypot system (2015) (2)
Computerized fault monitoring and management sub-system with critical solutions archival capabilities in a satellite earth station (2011) (2)
A voting and predictive Neural Network system for use in a new artificial Larynx (2009) (2)
Laser beam forming: Experimental investigation and statistical analysis of the effects of parameters on bending angle (2013) (2)
Data Size Reduction and Maximization of the Network Lifetime over Wireless Sensor Network (2016) (2)
Ant colony optimization of rough set for HV bushings fault detection (2011) (2)
Fuzzy Systems for Condition Monitoring (2012) (2)
Committee of Networks for Estimating Missing Data (2009) (2)
Utilising Partial Momentum Refreshment In Separable Shadow Hamiltonian Hybrid Monte Carlo (2021) (2)
Effect of Data Parameters and Seeding on k-Means and k-Medoids (2020) (2)
PREDICTIVE MODELING WITH MISSING DATA USING AN AUTOMATIC RELEVANCE DETERMINATION ENSEMBLE: A COMPARATIVE STUDY (2012) (2)
EIDPS: An Efficient Approach to Protect the Network and Intrusion Prevention (2016) (2)
A Response Surface Methodology approach to operating system scheduler tuning (2010) (2)
Organizational adaptation to (2011) (2)
Multi-Agent Framework for Distributed Leasing-Based Injection Mould Remanufacturing (2017) (2)
Soft Computing in Product Recovery: A Survey Focusing on Remanufacturing System (2012) (2)
Decentralizing Emerging Markets to Prepare for Industry 4.0: Modernizing Policies and the Role of Higher Education (2020) (2)
Underground water dam levels and energy consumption prediction using computational intelligence techniques (2014) (2)
Learning the $k$ in $k$-means via the Camp-Meidell Inequality (2019) (2)
Modeling after sales customer satisfaction using multinomial logistic regression insights from a South African car company (2014) (2)
Cost benefit of using a committee of parallel neural networks for bushing diagnostics (2005) (2)
Artificial Intelligence and Economic Theories (2017) (2)
Introduction to Finite Element Model Updating (2016) (2)
Autoencoder networks for water demand predictive modelling (2016) (2)
Introducing Ulimisana Optimization Algorithm Based on Ubuntu Philosophy (2020) (2)
Modeling Interstate Conflict: The Role of Economic Interdependency for Maintaining Peace (2013) (2)
Multi-agent Approaches to Economic Modeling: Game Theory, Ensembles, Evolution and the Stock Market (2013) (2)
Optimizing risk management using NSGA-II (2012) (2)
Nano Version Control and the Repo as the Next Data Structure in Computer Science and Artificial Intelligence (2021) (2)
Artificial Intelligence and Emerging Technologies in International Relations (2021) (2)
Relationship between Diversity and Perfomance of Multiple Classifiers for Decision Support (2008) (2)
Land Cover Mapping Using Ensemble Feature Selection Methods (2008) (2)
Bayesian Approach to Neuro-Rough Models (2007) (2)
Improving the Performance of the Support Vector Machine in Insurance Risk Classification - A Comparitive Study (2011) (2)
ARMA Analysis of Chest X-rays for Computer Assisted Detection of Tuberculosis (2013) (2)
Maximum Expectation Algorithms for Missing Data Estimation (2009) (2)
Missing Data Approaches to Classification (2009) (2)
Rational Choice and Artificial Intelligence (2017) (2)
Design of an Ultra-Near-Field System for Planar Coded Aperture Nuclear Medicine Imaging (2008) (2)
The Dual-Sector Model (2020) (2)
Emerging Missing Data Estimation Problems: Heteroskedasticity; Dynamic Programming and Impact of Missing Data (2009) (2)
Introduction to Economic Modeling (2013) (1)
On the Introduction of Secondary Fingerprint Classification (2011) (1)
Ant stigmergy shop floor control architecture for intelligent product oriented manufacturing system (2010) (1)
Healing Gaussian Process Experts (2020) (1)
Relationship between Structural Diversity and Performance of Multiple Classifiers for Decision Support (2009) (1)
Rational markets (2021) (1)
Fusing Sell-Side Analyst Bidirectional Forecasts Using Machine Learning (2022) (1)
Bayesian inference of local government audit outcomes (2021) (1)
A Multi-Agent Approach to Bluffing (2009) (1)
Artificial Intelligence and International Relations Theories (2023) (1)
Bayesian Approaches to Modeling Interstate Conflict (2011) (1)
Gold mine dam levels and energy consumption classification using artificial intelligence methods (2013) (1)
Adaptive Metropolis-Hastings for Finite Element Updating (2016) (1)
Autoencoder networks for HIV classification Brain (1)
HP: A light-weight hybrid algorithm for accurate data partitioning (2020) (1)
FORWARD AND REVERSE MIDDLE EAR FREQUENCY RESPONSES WITH VARIOUS TERMINAL LOADS (2012) (1)
Hardware Capacity—End of Life Perspective (2018) (1)
Automatic Relevance Determination in Economic Modeling (2013) (1)
Introduction to Condition Monitoring in Mechanical and Electrical Systems (2012) (1)
Fuzzy Inference Systems Optimization (2011) (1)
On-line Condition Monitoring Using Ensemble Learning (2012) (1)
Artificial Intelligence and the Changing Nature of Corporations (2021) (1)
Monte Carlo Dynamically Weighted Importance Sampling For Finite Element Model Updating (2015) (1)
Support Vector Regression for Missing Data Estimation (2009) (1)
Applying the Negative Selection Algorithm for Merger and Acquisition Target Identification Theory and Case Study (2013) (1)
A Brief Overview of the Firm’s Strategy (2021) (1)
Neural Networks for Modeling Granger Causality (2015) (1)
Control Approaches to Economic Modeling: Application to Inflation Targeting (2013) (1)
Component Based Software Development Using Component Oriented Programming (2013) (1)
Can rationality be measured? (2018) (1)
Simulation of retinal function A fuzzy-linear approach (2008) (1)
Population based training and federated learning frameworks for hyperparameter optimisation and ML unfairness using Ulimisana Optimisation Algorithm (2022) (1)
Deep Learning Framework Analysis (2018) (1)
Evolutionary Approaches to Computational Economics: Application to Portfolio Optimization (2013) (1)
The fuzzy gene filter: A classifier performance assesment (2011) (1)
Caller Behaviour Classification: A Comparison of SVM and FIS Techniques (2009) (1)
Locally Scaled and Stochastic Volatility Metropolis- Hastings Algorithms (2021) (1)
Total Harmonic Distortion Performance in PV Systems Using Fuzzy Logic Controller (2017) (1)
High-transparency coded apertures in planar nuclear medicine imaging: Experimental results (2007) (1)
Missing Data Estimation Using Cuckoo Search Algorithm (2018) (1)
Efficient Market Hypothesis (2017) (1)
Fault identification using a committee of neural networks (1999) (1)
The Fourth Industrial Revolution in Higher Education (2021) (1)
Rational Counterfactuals (2014) (1)
TAC-RMTO: Trading Agent Competition in Remanufacture-to-Order (2012) (1)
Caller Interaction Classification: A Comparison of Real and Binary Coded GA-MLP Techniques (2009) (1)
e-Reverse logistics for remanufacture-to-order : an online auction-based and multi- agent system supported solution (2011) (1)
Rational Counterfactuals and Decision Making: Application to Interstate Conflict (2014) (1)
Ant Colony Optimization for Missing Data Estimation Brain (2006) (1)
Used Products Return Service Based on Ambient Recommender Systems to Promote Sustainable Choices (2013) (1)
Performance evaluation of sampling-based large-scale clustering algorithms (2019) (1)
Neural network-based control for RRP-based networked systems under DoS attacks with power interval (2022) (1)
A New Approach for Suggesting Takeover Targets Based on Computational Intelligence and Information Retrieval Methods: A Case Study from the Indian Software Industry (2014) (1)
Control of Biomedical System Using Missing Data Approaches (2009) (1)
The Global South and Industry 4.0: Historical Development and Future Trajectories (2021) (1)
Introduction to Relational Networks for Classification (2008) (1)
Support Vector Machines for Modeling Interstate Conflict (2011) (1)
Estimation of Missing Data Using Neural Networks and Decision Trees (2009) (1)
Robust Iris Segmentation Through Parameterization of the Chan-Vese Algorithm (2016) (1)
Investigating Ensemble Weight and the Certainty Distributions for Indicating Structural Diversity (2009) (1)
Probabilistic Inference of South African Equity Option Prices Under Jump-Diffusion Processes (2022) (1)
Bayesian Support Vector Machines for Economic Modeling: Application to Option Pricing (2013) (1)
k-Means-MIND: comparing seeds without repeated k-means runs (2022) (1)
An efficient adaptive preprocessing mechanism for streaming sensor data (2015) (1)
Intelligent travel route planning for bridge crane type of material handling equipment in cellular manufacturing (2010) (1)
Model Selection in Finite Element Model Updating (2016) (1)
What is a Causal Machine (2015) (1)
The Laffer Curve (2020) (1)
Lasers in Metal Forming Applications (2013) (1)
Portfolio Optimisation Using Ulimisana Optimisation Algorithm (2022) (0)
Introduction to Deep Learning (2018) (0)
Using Images to create a Hierarchical Grid Spatial Index (2006) (0)
HMM Sub-band Based Speaker Identification Using Linear and Non-linear Merging Techniques (2005) (0)
Fuzzy Sets for Modeling Interstate Conflict (2011) (0)
Modelling Conflict : Knowledge Extraction using Bayesian Neural Network and Neuro-fuzzy Models (2006) (0)
BRICS and Industry 4.0 (2021) (0)
Robotic Process Automation in Strategy and Strategy Implementation (2021) (0)
Correlation Function for Rational Decision Making: Application to Epileptic Activity (2014) (0)
Crowdfunding Investor—Credit Scoring and Support Vector Machine (2018) (0)
Reducing Inter-Agent communication due to negotiation in Multi-Agent systems through Learning (2004) (0)
Conclusions and Emerging Topics (2011) (0)
Enhanced-Delivery Overlay Multicasting Scheme by Optimizing Bandwidth and Latency Discrepancy Ratios (2010) (0)
Causal Model Analysis using Collider v-structure with Negative Percentage Mapping (2015) (0)
Ant based DDoS Detection Technique Using Roaming Virtual Honey Pots (2016) (0)
What is machine vs human rationality? (2021) (0)
Using artificial intelligence for data reduction in mechanical engineering (2007) (0)
FuzzyandMultilayer Perceptron forEvaluation ofHV Bushings (2006) (0)
Modeling Conflicts Between States: New Developments for an Old Problem (2011) (0)
Hardware Capacity—Beginning of Life Perspective (2018) (0)
Cyberware Capacity—Applications Layer Perspective (2018) (0)
The Effects of Customer Perceived Disposal Hardship on Post-Consumer Product Remanufacturing: A Multi-agent Perspective (2012) (0)
Crowdfunding Regulator—Technology Foresight and Type-2 Fuzzy Inference System (2018) (0)
Introduction to Smart Maintenance (2018) (0)
Shadow Magnetic Hamiltonian Monte Carlo (2022) (0)
Rough Sets for Condition Monitoring (2012) (0)
Appendix B: Markov Chain Monte Carlo (2016) (0)
Introduction to Artificial Intelligence based Decision Making (2015) (0)
Bushing FaultDetection andDiagnosis using Extension NeuralNetwork (2006) (0)
Hybrid Technique for Frequent Pattern Extraction from Sequential Database (2014) (0)
Human Capacity—Physiology Perspective (2018) (0)
DEVELOPMENT OF A SYNCHRONOUS FILTER FOR TIME DOMAIN AND ROTATION DOMAIN AVERAGING (2003) (0)
Relative Net Utility and the Saint Petersburg Paradox (2019) (0)
Dynamic Inconsistency Theory (2020) (0)
Imputation of Missing Streamflow Data at Multiple Gauging Stations in Benin Republic (2022) (0)
Missing Data Approaches for Rational Decision Making: Application to Antenatal Data (2014) (0)
Correlation Machines Using Optimization Methods (2015) (0)
Diagnosis of Shorted-Turns Faults in Electrical Machine using Neural Network (2018) (0)
Is machine rationality subjective? (2021) (0)
Rough Sets for Modeling Interstate Conflict (2011) (0)
Adaptive Markov Chain Monte Carlo Method for Finite Element Model Updating (2016) (0)
Synopsis to Artificial Intelligence and the Nature of a Firm: Implications to Strategy and Strategy Implementation (2021) (0)
Introduction to machine and human rationality (2021) (0)
Relative rationality: Is machine rationality subjective? (2019) (0)
Bayesian Approaches to Condition Monitoring (2012) (0)
Application of Global and One-Dimensional Local Optimization to Operating System Scheduler Tuning (2010) (0)
Can machines be rational? (2021) (0)
Rational opportunity cost (2021) (0)
Predicting Higher Education Throughput in South Africa Using a Tree-Based Ensemble Technique (2021) (0)
An Adaptive Fuzzy Predictive Control Based on Support Vector Regression (2017) (0)
Missing Data using Decision Forest and Computational Intelligence (2008) (0)
Finite-element-model Updating Using Genetic Algorithm (2010) (0)
An Overview of Recent Advancements in Causal Studies (2016) (0)
Causal, Correlation and Automatic Relevance Determination Machines for Granger Causality (2015) (0)
Bushing monitoring using multi-layer perceptron and radial basis functions (0)
Optimization of radio frequency usage: A case study of Ondo State Television broadcast Nigeria (2009) (0)
Genetic Algorithm with Optimized Rough Sets for Modeling Interstate Conflict (2011) (0)
Group vs individual rationality (2021) (0)
Rational Choice and Rational Expectations (2017) (0)
Condition Monitoring Using Support Vector Machines and Extension Neural Networks Classifiers (2012) (0)
Missing Data Estimation Using Ant Colony Optimization Algorithm (2018) (0)
Neural Approaches to Economic Modeling (2013) (0)
Rough Sets Approach to Economic Modeling: Unlocking Knowledge in Financial Data (2013) (0)
Introduction to Bricolage (2018) (0)
Introduction to Rational Decision Making (2014) (0)
Swarm Intelligence Supported e-Remanufacturing (2012) (0)
Condition Monitoring with Incomplete Information (2012) (0)
Bounded rational counterfactuals (2021) (0)
Appendix A: Experimental Examples (2016) (0)
Natural Language Processing in Strategy and Implementation (2021) (0)
Incremental Learning forClassification ofProtein Sequences (2007) (0)
The Committee of Networks Approach to Condition Monitoring (2012) (0)
Filtering Irrelevant Information for Rational Decision Making (2014) (0)
Bayesian Statistics in Structural Dynamics (2016) (0)
Group Decision Making (2014) (0)
Building a sustainable research & HCD eco-system: Case study of two wireless communication eco systems (2013) (0)
Concluding Remarks (2018) (0)
Adverse Selection (2020) (0)
Early Estimation of Protest Time Spans: A Novel Approach Using Topic Modeling and Decision Trees (2018) (0)
Cyberware Capacity—Energy Autonomy Perspective (2018) (0)
Tolerance to complexity: Measuring capacity of development teams to handle source code complexity (2016) (0)
Hybrid Monte Carlo Technique for Finite Element Model Updating (2016) (0)
Human vs machine ethics (2021) (0)
Healing Products of Gaussian Processes (2021) (0)
Particle Swarm Optimization and Hill-Climbing Optimized Rough Sets for Modeling Interstate Conflict (2011) (0)
Creative Destruction (2020) (0)
Metropolis-Hastings and Slice Sampling for Finite Element Updating (2016) (0)
Moral Hazard (2020) (0)
Preservation of Manual Changes and Provenance for Data Quality using the Nano Version Control Repo (2021) (0)
Flexibly-bounded Rationality (2015) (0)
Strategy Implementation (2021) (0)
Automatic Relevance Determination for Identifying Interstate Conflict (2011) (0)
Altered-LiNGAM (ALiNGAM) for solving nonlinear causal models when data is nonlinear and noisy (2017) (0)
An Adaptive Strategy for the Classification of G-Protein Coupled Receptors (2007) (0)
Artificial Intelligence forConflict Management (2005) (0)
Flexibly bounded rationality (2021) (0)
On Rationality, Artificial Intelligence and Economics (2022) (0)
Human Capacity—Exposome Perspective (2018) (0)
Correlations Versus Causality Approaches to Economic Modeling (2013) (0)
An Analysis of Local Government Financial Statement Audit Outcomes in a Developing Economy Using Machine Learning (2022) (0)
Hardware Capacity—Middle of Life Perspective (2018) (0)
Comparative Advantage (2020) (0)
The Growth Model (2020) (0)
Human Capacity—Biopsychosocial Perspective (2018) (0)
Rational expectation (2021) (0)
A Hybrid Approach to Missing Data: Bayesian Neural Networks, Principal Component Analysis and Genetic Algorithms (2009) (0)
Microsoft Word-moonmarwala (2008) (0)
Cyberware Capacity—Platform and Middleware Layers Perspective (2018) (0)
Finite-element-model Updating Using Simulated Annealing (2010) (0)
An Automatic Relevance Determination Prior Bayesian Neural Network for Controlled Variable Selection (2020) (0)
What is a Correlation Machine (2015) (0)
Neuro-Rough Sets for Modeling Interstate Conflict (2011) (0)
Bayesian Finite Element Model Updating Using a Population Markov Chain Monte Carlo Algorithm (2020) (0)
Variations in Information Flow Patterns Following Intracranial Hypertensive Events in Traumatic Brain Injured Patients (2021) (0)
BAYESIAN NEURO-ROUGH MODEL (2009) (0)
Innovation and Transdisciplinary Knowledge for Action (2015) (0)
MphayaNER: Named Entity Recognition for Tshivenda (2023) (0)
A Comparative Study between Genetic Algorithms and Line Search Algorithm Optimization for HIV Predictions BRAIN (2006) (0)
Human vs machine rationality (2021) (0)
Early prediction of the duration of protests using probabilistic Latent Dirichlet Allocation and Decision Trees (2017) (0)
Finite-element-model Updating Using Artificial Neural Networks (2010) (0)
Flexibly-Bounded Rationality in Interstate Conflict (2014) (0)
Speech Translation between English and Sepedi (2004) (0)
Evolutionary Approach to Finite Element Model Updating (2016) (0)
Marginalization of Irrationality in Decision Making (2015) (0)
Simulation and optimization for batch order picking problem: the application of ant colony algorithm (2010) (0)
Missing Data Approaches to Economic Modeling: Optimization Approach (2013) (0)
Techniques for Economic Modeling: Unlocking the Character of Data (2013) (0)
Investigation into the Use of Autoencoder Neural Networks, Principal Component Analysis and Support (2008) (0)
Conclusion: Towards a General Theory of Technology and Politics? (2022) (0)
Computation of optimal investment allocations in a sequential portfolio optimisation (2019) (0)
Appendix C: Gaussian Distribution (2016) (0)
Detection and classification of faults using maximum likelihood and bayesian approach (2001) (0)
Machine Learning in Strategy and Implementation (2021) (0)
Prioritising Security Tests on Large-Scale and Distributed Software Development Projects by Using Self-organised Maps (2016) (0)
An efficient educational data mining approach to support e-learning (2016) (0)
Multi-Layer Perceptron for Condition Monitoring in a Mechanical System (2012) (0)
Conclusions and Further Work (2013) (0)
Energy Efficient Secure Data Transmission in Wireless Sensor Network (2018) (0)
Rational machine (2021) (0)
Stochastic differential equations with imprecisely defined parameters in market analysis (2018) (0)
Correction to: Total Harmonic Distortion Performance in PV Systems Using Fuzzy Logic Controller (2017) (0)
Finite-element model updating using swarm intelligence algorithms (2018) (0)
Treatment of MissingDataUsing NeuralNetworks and Genetic Algorithms (2005) (0)
Multi-layer Perceptron and Radial Basis Function for Modeling Interstate Conflict (2011) (0)
Comparison of Bootstrapping and Finite State Machine Simulations of a Scheduling Benchmark (2013) (0)
Creating Synthetic Volatility Surfaces using Generative Adversarial Networks with Static Arbitrage Loss Conditions (2022) (0)
Simulated Annealing Optimized Rough Sets for Modeling Interstate Conflict (2011) (0)
Social Learning Methods in Board Games (2008) (0)
The Fourth Industrial Revolution has arrived. Comments on Moll (S Afr J Sci. 2023;119(1/2), Art. #12916) (2023) (0)
Causal Function for Rational Decision Making: Application to Militarized Interstate Dispute (2014) (0)
A Comparison of Multiple Markov Chains Algorithms for Bayesian Updating (2021) (0)
A High-Level Overview of Artificial Intelligence: Historical Overview and Emerging Developments (2021) (0)
Ensemble classifier using GRG algorithm for land cover classification (2013) (0)
Early Warning and Conflict Prevention Using Computational Techniques (2011) (0)
Modelling and computational simulation of optimal auction design and bidding strategies (2019) (0)
Finite Element Model Updating Using Evolutionary Optimization Methods (0)
Bushing monitoring using MLP and RBF [power insulators] (2004) (0)
The Phillips Curve (2020) (0)
Rubin, Pearl and Granger Causality Models: A Unified View (2015) (0)
Defending against Medium Access Control and Network Layer Misbehavior Attacks by Monitoring Nodes in MANET (2019) (0)
A Multi-Agent System for Bushing Condition Monitoring (2006) (0)
Nano Version Control and "Robots of Robots" – Data Driven, Regenerative Production Code (2021) (0)
Fault Classification using Pseudomodal Energies and Neuro-fuzzy modelling (2006) (0)
Dynamic model updating using pseudo modal energies (2001) (0)
Rational choice (2021) (0)
Introduction to Artificial Intelligence and the Nature of a Firm: Implications to Strategy and Strategy Implementation (2021) (0)
Bayesian Approach to Neuro-Rough Models for Modelling HIV (2007) (0)
Synopsis: Artificial Intelligence in Economics and Finance Theories (2020) (0)
Missing Data Estimation Using Swarm Intelligence Algorithms from Reduced Dimensions (2018) (0)
Prediction ofHIVStatus fromDemographic DataUsingNeural Networks (2006) (0)
Real-Time Approaches to Computational Economics: Self Adaptive Economic Systems (2013) (0)

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