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CLASSIFICATION OF CARDIAC ARRHYTHMIA USING A 2D CONVOLUTIONAL NEURAL NETWORK

June 12, 2020 vemamian Leave a comment

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About the PI

Vahid Emamian, Ph.D.

Dr. Emamian office is Ritcher-Math Building, Room 223 • San Antonio, TX 78228 • 210-431-2049 • http://sites.stmarytx.edu/vemamian

Recent Posts by Dr.Emamian

New publications by Machine Learning Lab research team
User agreement for access to the deep learning platform
Electrical Engineering professor uses artificial intelligence to predict heart disease
Team 5 Research: An automatic health monitoring platform using deep machine learning and artificial intelligence (AI) based on Zigbee wireless sensors
Team 2 Research: Application of Machine Learning for Wireless Security during a Pandemic
Team 4 Research: Deep Learning Algorithms for Android Malware Detection
Team 3 Research: A Survey of Wireless Security Concerns and Case Studies in Geolocation Data
Team 1 Research: Application of Deep Machine Learning in Cybersecurity
Access Request to Deep Learning Platform
Application of Convolutional Neural Network and Deep Learning for Detection of Cardiac Arrhythmia Heart Disease
CLASSIFICATION OF CARDIAC ARRHYTHMIA USING A 2D CONVOLUTIONAL NEURAL NETWORK
Cardiac Arrhythmia Classification by Multi-Layer Perceptron and Convolution Neural Networks
PUBLICATIONS IN MACHINE LEARNING, DEEP LEARNING, AND NEURAL NETWORKS
Deep Learning, Machine Learning, and AI
Machine Learning Research
University gets $268K grant to enhance deep learning

Deep Learning | Machine Learning | Artificial Intellegence

Recent Posts
Machine Learning Publications
Access Request to Deep Learning Platform
University gets $268K grant to enhance deep learning
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