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 ...
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, ...
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 ...
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 ...
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 ...
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 ...
It’s a bird! It’s a plane! It’s…not Superman? No, it’s Super Mustache, Venezuelan leader Nicolas Maduro’s cartoon alter-ego, here to save the South American country from peril. In a September episode ...
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