Saturday , April 27 2024

Dr. Lal Hussain PhD (Pak, IRSIP-UK), PostDoc. (USA), Assistant Professor, University of Azad Jammu & Kashmir

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What Is Deep Learning? How It Is Helpful In Detecting Prostate Cancer
How To Analyze The Dynamics Of Sleep Electro Encephalo Graphic (EEG) Using Threshold-Dependent Symbolic Entropy
Detecting Congestive Heart Failure by Extracting Multimodal Features and Employing Machine Learning Techniques
Analyzing the Dynamics of Lung Cancer Imaging Data Using Refined Fuzzy Entropy Methods by Extracting Different Features
Automated lung cancer detection based on multimodal features extracting strategy using machine learning techniques
Applying Bayesian Network Approach to Determine the Association Between Morphological Features Extracted from Prostate Cancer Images
Arrhythmia Detection using Hybrid Features Extracting Strategy
Detecting Brain Tumor using Machine Learning Techniques Based of Different Features Extracting Strategies
Symbolic time series analysis of electroencephalographic (EEG) epileptic seizure and brain dynamics with eye-open and eye-closed subjects during resting states
A multi-modal, multi-atlas based approach for Alzheimer detection via machine learning. International Journal of Imaging Systems and Technology

Tag Archives: Eye closed condition

Coupling functions between brain waves: Significance of opened/closed eyes

11/16/2018 Conference 0

Presented a paper titled “Coupling functions between brain waves: Significance of opened/closed eyes. 21st World Multiconference on Systemics, Cybernetics and Informatics (WMSCI 2017) Special track on Knowledge and Cognitive Science and Technologies: KCST 2017, July 8-11, 2017, Orlando, Florida, USA. Proceedings of the 21st World Multi-Conference on Systemics, Cybernetics and …

Wavelet Phase Coherence in EEG with EC and EO during resting states

11/16/2018 Conference 0

Presented a paper titled “Wavelet Phase Coherence in EEG with EC and EO during resting states. 2015 Complex Adaptive Systems, Missouri University of Science and Technology, November 2-4, 2016, Los Angles, California, USA