New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...
Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...
Secure your MCP metadata streams with post-quantum encryption and AI-driven anomaly detection. Learn to stop puppet attacks and tool poisoning in AI infrastructure.
ESET researchers present technical details on a recent data destruction incident affecting a company in Poland’s energy sector.
Introduction Mobile health (mHealth) technologies have become increasingly popular for monitoring mental health symptoms and lifestyle behaviours, and are largely reported to be feasible and ...
Please cite the following paper if you are using this code. Reference: A. Quadir, M. Sajid, and M. Tanveer. "Multiview random vector functional link network for predicting DNA-binding proteins." arXiv ...
Abstract: Air pollution is a significant global challenge that profoundly impacts both the environment and public health. Accurate prediction of the Air Quality Index (AQI) is essential for promoting ...
When you go for a walk, how does your brain know the difference between a parked car and a moving car? This seemingly simple ...
This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...
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