2022
L. Zhang, A Bio-Inspired Neural Network for Modelling COVID-19 Transmission in Canada , 2022 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 281-287.
2021
S Pilehvari, L Zhang, RV Mayorga, Impact of Membrane Resistance on Width and Amplitude of Spikes in Different Injected Currents in One Spiking Neural Model , WSEAS Transactions on Circuits and Systems 20, 196-202
VKR Chimmula, L Zhang, H Malik, A Kumar Yadav, Deep Learning and Statistical-Based Daily Stock Price Forecasting and Monitoring, AI and Machine Learning Paradigms for Health Monitoring System, 203-216
VKR Chimmula, L Zhang, A Kumar, Artificial Intelligence: Its Role in Diagnosis and Monitoring Against COVID-19 , AI and Machine Learning Paradigms for Health Monitoring System, 147-154
2020
VKR Chimmula, L Zhang, D Palliath, A Kumar, Improved Spiking Neural Networks with multiple neurons for digit recognition, 2020 11th International Conference on Awareness Science and Technology (iCAST)
SAA Shah, L Zhang, A Bais, Dynamical system based compact deep hybrid network for classification of Parkinson disease related EEG signals, Neural Networks 130, 75-84
L. Zhang, EEG Signals Feature Extraction and Artificial Neural Networks Classification for The Diagnosis of Schizophrenia, 2020 IEEE 19th International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC) , 68-75
VKR Chimmula, L Zhang, Time Series Forecasting of COVID-19 transmission in Canada Using LSTM Networks, Chaos Solitons & Fractals
L. Zhang, Nonlinear Autoregressive Model Design and Optimization Based on ANN for the Prediction of Chaotic Patterns in EEG Time Series, Lecture Notes in Computational Vision and Biomechanics, Vol 32, Springer
SAA Shah, A Bais, L Zhang, Adaptation of dynamical properties of time series data and its applications in deep brain stimulation , Nonlinear Dynamics, 1-21
2019
L. Zhang, EEG signals classification using machine learning for the identification and diagnosis of schizophrenia, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) , 4521-4524
L. Zhang, Building Logistic Spiking Neuron Models Using Analytical Approach , IEEE Access
L. Zhang, Generating Custom Time Series Signals Using Recurrent Neural Network Based EEG Patterns for Transcranial Current Brain Stimulation, Brain Stimulation 12 (2), 552 - 553
L. Zhang, Evaluating the Effects of Size and Precision of Training Data on ANN Training Performance for the Prediction of Chaotic Time Series Patterns, International Journal of Software Science and Computational Intelligence (IJSSCI), 11(1), 16-30
L. Zhang, Chaotic System Design Based on Recurrent Artificial Neural Network for the Simulation of EEG Time Series, International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 13(1), 25-35
2018
L. Zhang, Lorenz Chaotic System Artificial Neural Network Training with Single Time Series Input and Multiple Time Series Outputs for EEG Prediction, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) , 1358-1365
SAA Shah, L Zhang, A Bais, Real time fixed point adaptive chaotic system generator for deep brain stimulation using FPGA , 2018 International Conference on Frontiers of Information Technology (FIT),182-187
L. Zhang, Optimizing ANN Training Performance for Chaotic Time Series Prediction Using Small Data Size, International Journal of Machine Learning and Computing 8 (6)
L. Zhang, Artificial neural network based nonlinear autoregressive model design for the generation and prediction of Lorenz chaotic system , 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS) , 651-655
L. Zhang, Artificial neural network based chaotic system design for the simulation of EEG time series , 2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC), 217-221
L. Zhang, Improving the Efficacy of Artificial Neural Network Training by Optimizing Training Data for the Simulation and Prediction of Electroencephalogram Chaotic Patterns, 2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC), 145-153
L. Zhang, Evaluating the training performance of artificial neural network using small time series segments of the lorenz chaotic system, 2018 International Joint Conference on Neural Networks (IJCNN), 1-8
L. Zhang, Artificial neural network architecture design for EEG time series simulation using chaotic system , 2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), 388-393
J Schmitz, L. Zhang, FPGA Hardware Implementation and Optimization for Neural Network based Chaotic System Design , Proceedings of the 9th International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies.
J Sunny, J Schmitz, L. Zhang, Artificial Neural Network Modelling of Rossler's and Chua's Chaotic, Systems , 2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE), 1-4
2017
L. Zhang, Multilayer artificial neural network design and architecture optimization for the pattern recognition and prediction of EEG signals based on Henon map chaotic system, 2017 International Conference on Computational Science and Computational Intelligence (CSCI), 345-350.
L. Zhang, Artificial neural networks model design of Lorenz chaotic system for EEG pattern recognition and prediction, 2017 IEEE Life Sciences Conference (LSC), 39-42
L. Zhang, Hénon map chaotic system critical points analysis and classification for the dynamic control of brain stimulation , 2017 IEEE XXIV International Conference on Electronics, Electrical Engineering and Computing (INTERCON), 1-4
L. Zhang, Artificial neural network model-based design and fixed-point fpga implementation of hénon map chaotic system for brain research, 2017 IEEE XXIV International Conference on Electronics, Electrical Engineering and Computing (INTERCON)
L. Zhang, Implementation of fixed-point neuron models with threshold, ramp and sigmoid activation functions , IOP Conference Series: Materials Science and Engineering, 224(1)
L. Zhang, System generator model-based fpga design optimization and hardware co-simulation for lorenz chaotic generator , 2017 2nd Asia-Pacific Conference on Intelligent Robot Systems (ACIRS), 170-174
L. Zhang, Real-time feature extraction for multi-channel EEG signals time-frequency analysis , 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER) , 493-496
J. Schmitz, L. Zhang, Rössler-based chaotic communication system implemented on FPGA, 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), 1-4
L. Zhang, Artificial neural network model design and topology analysis for fpga implementation of lorenz chaotic generator, 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)
L. Zhang, Hénon map chaotic system analysis and VHDL-based fixed-point FPGA implementation for brain stimulation , 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)
L. Zhang, Fixed-point fpga model-based design and optimization for Henon map chaotic generator , 2017 IEEE 8th Latin American Symposium on Circuits & Systems (LASCAS)
2016
S. Ali, L. Zhang, Maximum Entropy based Common Spatial Patterns for Motor Imagery Classification , 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
B. Patel, R. Paranjape, M. Mehrandezh, L Zhang, UltrasonicInspectionofUn- derwater Guy Wires with Applications to Floating Oil Platforms, 29th Annual IEEE Canadian Con- ference on Electrical and Computer Engineering, Vancouver, Canada, May 2016.
2014
L. Zhang, A Multichannel Data Acquisition System Design for Guided Waves Ultrasound Testing , 2014 Far East Forum on Nondestructive Evaluation and Testing
L. Zhang, A Multi-channel Transmitter System for NDT Pipeline Testing using Guided Waves Ultrasound , 5th International CANDU In-Service Inspection Workshop in conjunction with the NDT in Canada 2014 Conference
2013
L Zhang, P Mudge, A Amira, W Balachandran , Improved Performance of Guided Wave Ultrasonic Testing for Long Range Inspection of Pipelines using Multi-Channel Systems, Proceedings of the 3rd International Gas Processing Symposium, 249-256
