IEEE

Quantum Machine Learning: Recent Advances, Challenges, and Perspectives

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...
IEEE

Machine Learning on the Fly: A Hands-On Tutorial for Streaming Data

Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...
IEEE

2955-2025 - IEEE Recommended Practice for Creating Self-Learning Tutorials and Side-by-Side Learning

Abstract: A methodology for creating self-learning tutorials, including tutorials that use screencast technology, is described in this recommended practice. Methods and practices that are applicable ...
Reuters

FDA intends to put most serious warning on COVID vaccines, CNN reports

Dec 12 (Reuters) - The U.S. Food and Drug Administration intends to put a "black box" warning on COVID-19 vaccines, CNN reported on Friday, citing two people familiar with the agency's plans. The ...
Phys.org

Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
IEEE

Handwritten Amharic Character Recognition Through Transfer Learning: Integrating CNN Models and Machine Learning Classifiers

Abstract: Handwritten Amharic character recognition presents significant challenges due to the script’s syllabic nature and variations in handwriting styles. This study investigates a hybrid approach ...
IEEE

Detection of Brain Tumors in MRI Images through Machine Learning, Deep Learning, Faster R-CNN & YOLOv5

Abstract: As the tenth greatest cause of death, brain tumors have become a major worldwide health problem in recent years. The fast growth of brain tumors, which results in a short life expectancy for ...
IEEE

Defect Detection in Transforming Textile Mills with Machine Learning and CNN Method: Applications and Innovations for Eco-Conscious Future

Abstract: This Article offers a review and analysis of the transformation of textile mills through the latest advancements and applications of machine learning. The body of extant literature was ...