Heat stress is widely recognized as a critical risk factor in livestock systems. Rising temperatures and humidity levels can ...
An Dang, Special to The Denisonian Denison will debut a new minor in machine learning and artificial intelligence next semester. This program is designed to give students in technical fields a ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...
AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...
It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to ...
Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and ...
Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...
Abstract: Recent advances in machine learning have begun to embed oscillatory network principles within neural architectures, aiming to enhance computational efficiency and robustness in time-series ...
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