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: One of the prominent challenges encountered in real-world data is an imbalance, characterized by unequal distribution of observations across different target classes, which complicates ...
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, ...
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 ...
CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
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 ...
CNN host Abby Phillip said during an interview on "The View" on Wednesday that Rep. Marjorie Taylor Greene, R-Ga., was learning that loyalty was a "one-way street" with President Donald Trump. "I ...
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