Multi-label classification is a dynamic field within machine learning that allows a single instance to be associated with multiple labels simultaneously. Over recent years, advances in this domain ...

Deep neural network (DNN) approaches have shown remarkable progress in automatic Chest X-rays classification. However, existing methods use a training scheme that simultaneously trains all ...

An important problem in natural language processing is text emotion multi-label classification, which seeks to predict various emotions connected to a given text. This research suggests a unique ...

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social stability threat due to their structural diversity, rapid iteration, and stronger ...

A research team has developed a diagnostic system that uses artificial intelligence (AI) to accurately identify the type of ...

Recent advances in deep learning have significantly transformed mineral classification methodologies, supplanting labour‐intensive manual approaches with automated, high-precision systems. By ...

The substantial increase in mental health disorders globally necessitates scalable, accurate tools for detecting and classifying these conditions in digital environments. This study addresses the ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

Organizations are optimistic about AI in the workplace, but rapid adoption has sparked the need for new hires to help design, develop, implement, and maintain AI tools and services.

The music mogul, who fueled the commercial success of rap over a 30-year career, is facing multiple lawsuits accusing him of sexual assault and misconduct. He was arrested on new charges on Monday.