Simon Y. Foo

According to our database, Simon Y. Foo authored at least 36 papers between 1990 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

An Intelligent Parameter Identification Method of DFIG Systems Using Hybrid Particle Swarm Optimization and Reinforcement Learning.

Xuanchen Xiang, Ruisheng Diao, Shonda Bernadin, Simon Y. Foo, Fangyuan Sun, Ayodeji S. Ogundana

IEEE Access, 2024

Electric Vehicle Battery State of Charge Estimation With an Ensemble Algorithm Using Central Difference Kalman Filter (CDKF) and Non-Linear Autoregressive With Exogenous Input (NARX).

Ayodeji S. Ogundana, Pranaya K. Terala, Migara Y. Amarasinghe, Xuanchen Xiang, Simon Y. Foo

IEEE Access, 2024

2021

Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems Part 2 - Applications in Transportation, Industries, Communications and Networking and More Topics.

Xuanchen Xiang, Simon Y. Foo, Huanyu Zang

Mach. Learn. Knowl. Extr., 2021

Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1 - Fundamentals and Applications in Games, Robotics and Natural Language Processing.

Xuanchen Xiang, Simon Foo

Mach. Learn. Knowl. Extr., 2021

A comparison of machine learning algorithms for diabetes prediction.

Jobeda Jamal Khanam, Simon Y. Foo

ICT Express, 2021

Facial Emotion Recognition Using Asymmetric Pyramidal Networks With Gradient Centralization.

Huanyu Zang, Simon Y. Foo, Shonda Bernadin, Anke Meyer-Baese

IEEE Access, 2021

2019

Pinning observability of competitive neural networks with different time-constants.

Anke Meyer-Bäse, Ali Moradi Amani, Uwe Meyer-Bäse, Simon Foo, Andreas Stadlbauer, W. Yu

Neurocomputing, 2019

2018

Security evaluation of Tree Parity Re-keying Machine implementations utilizing side-channel emissions.

Jonathan Martínez Padilla, Uwe Meyer-Baese, Simon Foo

EURASIP J. Inf. Secur., 2018

Optimized Naive-Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification.

Amirhessam Tahmassebi, Amir H. Gandomi, Mieke H. J. Schulte, Anna E. Goudriaan, Simon Y. Foo, Anke Meyer-Baese

Complex., 2018

3D Gabor Filters for Chest Segmentation in DCE-MRI.

Ignacio A. Illán, J. Perez Matos, Javier Ramírez, Juan Manuel Górriz, Simon Y. Foo, Anke Meyer-Baese

Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

2009

ICA, kernel methods and nonnegativity: New paradigms for dynamical component analysis of fMRI data.

Peter Gruber, Anke Meyer-Bäse, Simon Y. Foo, Fabian J. Theis

Eng. Appl. Artif. Intell., 2009

2008

Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning.

Thorsten Twellmann, Anke Meyer-Bäse, Oliver Lange, Simon Y. Foo, Tim W. Nattkemper

Eng. Appl. Artif. Intell., 2008

2007

Small-Signal Modeling of Microwave MESFETs Using RBF-ANNs.

Mark H. Weatherspoon, Hector A. Martinez, Diego Langoni, Simon Y. Foo

IEEE Trans. Instrum. Meas., 2007

Evaluation of Distributed File Integrity Analyzers in the Presence of Tampering.

Adam J. Rocke, Ronald F. DeMara, Simon Foo

Int. J. Netw. Secur., 2007

A link availability-based QoS-aware routing protocol for mobile ad hoc sensor networks.

Ming Yu, Aniket Malvankar, Wei Su, Simon Y. Foo

Comput. Commun., 2007

A performance analysis of lattice oscilation model kernels and KPCA.

Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse

Proceedings of the IEEE International Conference on Systems, 2007

Evolutionary computation-based kernel optimal component analysis for pattern recognition.

Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Novel Kernels and Kernel PCA for Pattern Recognition.

Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse

Proceedings of the 7th IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2007

Enhanced prediction of protein cellular localization sites with genetic algorithm optimal kernel projection analysis.

Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Blind source separation based on self-organizing neural network.

Anke Meyer-Bäse, Peter Gruber, Fabian J. Theis, Simon Y. Foo

Eng. Appl. Artif. Intell., 2006

A speed and accuracy test of backpropagation and RBF neural networks for small-signal models of active devices.

Diego Langoni, Mark H. Weatherspoon, Simon Y. Foo, Hector A. Martinez

Eng. Appl. Artif. Intell., 2006

A comparison between neural and fuzzy cluster analysis techniques for functional MRI.

Oliver Lange, Anke Meyer-Baese, Monica K. Hurdal, Simon Y. Foo

Biomed. Signal Process. Control., 2006

An Energy-Efficient Path Availability Routing Algorithm For Mobile Ad Hoc Sensor Networks.

Ming Yu, Aniket Malvankar, Simon Y. Foo

Proceedings of IEEE International Conference on Communications, 2006

2005

Neural network modeling of torque estimation and d-q transformation for induction machine.

Kaijam M. Woodley, Hui (Helen) Li, Simon Y. Foo

Eng. Appl. Artif. Intell., 2005

Medical image compression using topology-preserving neural networks.

Anke Meyer-Bäse, Karsten Jancke, Axel Wismüller, Simon Foo, Thomas Martinetz

Eng. Appl. Artif. Intell., 2005

2004

Local exponential stability of competitive neural networks with different time scales.

Anke Meyer-Bäse, Sergei S. Pilyugin, Axel Wismüller, Simon Foo

Eng. Appl. Artif. Intell., 2004

Evolvable characteristic-based pseudo random number generation.

Jason C. Isaacs, Robert K. Watkins, Simon Y. Foo

Eng. Appl. Artif. Intell., 2004

Optimized wavelet hand pose estimation for American sign language recognition.

Jason C. Isaacs, Simon Y. Foo

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Real Time Texture Classification using Field Programmable Gate Arrays.

Geoffrey Wall, Faizal Iqbal, Jason C. Isaacs, Xiuwen Liu, Simon Y. Foo

Proceedings of the 33rd Applied Image Pattern Recognition Workshop (AIPR 2004), 2004

2003

Field Programmable Gate Array Implementations of Cellular Automata for Pseudo-Random Number Generation.

Jason C. Isaacs, Robert K. Watkins, Simon Y. Foo

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2003

2002

Evolving ant colony systems in hardware for random number generation.

Jason C. Isaacs, Robert K. Watkins, Simon Y. Foo

Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2000

A fuzzy logic approach to fire detection in aircraft dry bays and engine compartments.

Simon Y. Foo

IEEE Trans. Ind. Electron., 2000

1996

A rule-based machine vision system for fire detection in aircraft dry bays and engine compartments.

Simon Y. Foo

Knowl. Based Syst., 1996

1995

Divide and conquer orthogonality principle for parallel optimizations in TSP.

Harold Szu, Simon Y. Foo

Neurocomputing, 1995

Scaling properties of neural networks for job-shop scheduling.

Simon Y. Foo, Yoshiyasu Takefuji, Harold Szu

Neurocomputing, 1995

1990

Databases and Cell-Selection Algorithms for VLSI Cell Libraries.

Simon Y. Foo, Yoshiyasu Takefuji

Computer, 1990