The moving assembly line has certainly proven its worth over the 100-plus years since Henry Ford introduced the industrial ...
Aerosols play a critical role in the transmission of airborne pathogens by acting as carriers that transport pathogens ...
In his college courses at Stanford University, Jehangir Amjad poses a curious question to his students: Was the 1969 moon ...
Binjumah, W. (2025) A Conceptual Model for Improving Perovskite Solar Cells Efficiency Using Machine Learning. International ...
An AI foundation model capable of predicting gene activity across many different human cell types may expedite research for ...
The push to understand and effectively treat neurodegenerative diseases has entered a new era with the rise of artificial intelligence (AI). This ...
I. Rahmati, H. Shahmansouri, and A. Movaghar, "QECO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing". @article{rahmati2024qeco, ...
In recent years, classification algorithms applied to automatic ECG arrhythmia diagnosis have been proposed and optimized. With the application and development of neural network-based deep learning ...
However, recent studies on loss functions for imbalanced data have primarily focused on deep learning. The goal of this study is to improve the XGBoost algorithm for better performance on unbalanced ...
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
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