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, ...

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

Elecrow “All-in-One Starter Kit for ESP32-P4” is an open-source learning and prototyping platform based on the ESP32-P4 ...

Get up and running with routes, views, and templates in Python’s most popular web framework, including new features found ...

Familiarity breeds confidence; hence, knowing your components before starting your build makes the process smoother. You'll have a mental plan for your build, and avoid the most common mistakes that ...

In today’s fast-paced digital world, audiences consume more video content than ever before. From YouTube creators to marketing teams, everyone is looking for faster and smarter ways to produce ...

Abstract: Radio detection and ranging-based (radar) sensing offers unique opportunities for biomedical monitoring and can help overcome the limitations of currently established solutions. Due to its ...

How data poisoning attacks corrupt machine learning models Data poisoning can render machine learning models inaccurate, possibly resulting in poor decisions based on faulty outputs. With no easy ...

Stormi Webster has a calling in the beauty world. Kylie Jenner, 27, and her seven-year-old daughter shared their first-ever makeup tutorial together on TikTok, using — what else? — strictly Kylie ...

Jargon explained It’s yet another bit of mind-numbing video jargon: 4K 30 vs 4K 60. But what do framerates actually mean and why do they matter?