GitHub

EECS 498-007 / 598-005 Deep Learning for Computer Vision

There was an error while loading. Please reload this page. This course was offered by the University of Michigan to talk really deep about computer vision especially ...
IEEE

Deep Reinforcement Learning Based Interference Mitigation in mmWave Multi-Cell Networks With Implicit CSI

Abstract: In this paper a deep reinforcement learning (DRL) based interference mitigation is proposed for multi-cell downlink in millimeter-wave (mmWave) networks. Unlike existing approaches that ...
Frontiers

Enhancing credit card fraud detection using traditional and deep learning models with class imbalance mitigation

1 Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi Arabia 2 InnoV'COM Laboratory-Sup'Com, University of Carthage, Ariana, Tunisia ...
The New York Times

Learning to Live With Vision Loss

Re “Losing My Vision and Seeing Life Anew,” by Dani Shapiro (Opinion guest essay, Aug. 10): Thank you, Dani Shapiro, for your delightful article on seeing the world in a blurred fashion. I, too, have ...
Hosted on MSN

August is vision and learning month

Donald Trump to make televised announcement from Oval Office: What to know A Massive New Study Says This Is What Happens to People Who Drink Black Coffee Every Day Kilmar Abrego Garcia released from ...
Scientific Research Publishing

Preventing Phishing Attacks Using Advanced Deep Learning Techniques for Cyber Threat Mitigation ()

1 University of Illinois at Springfield, Springfield, IL, USA. 2 University of Madras, Chennai, India. 3 University of Central Missouri, Warrensburg, MO, USA. 4 Wright State University, Dayton, OH, ...
IEEE

Quantum Vision Theory in Deep Learning for Object Recognition

Abstract: We introduce a new perspective and a theory, called Quantum Vision (QV) theory in deep learning, for object recognition. The proposed theory is based on particle-wave duality of quantum ...
American College of Cardiology

Deep Learning in Automating Cardiac Imaging: Challenges and Mitigation Strategies

When applying imaging analysis based on deep learning (DL) models, training data and generalization were found to challenge the performance of DL algorithms for automated cardiac measurements, while ...