This study presents valuable findings for identifying biotypes of depression patients using white matter measures, which are under-utilised and under-appreciated in current biological and ...

With AI increasingly ingrained in business, IT leaders and job seekers adjust to shifting skills needs and job requirements.

A machine learning-driven eNose detects ovarian cancer in blood plasma with 97 % sensitivity and specificity, offering a promising biomarker-agnostic approach.

Abstract: Accurate detection of oil spills in dynamic port environments remains critical for timely response and effective environmental protection. Recent studies have explored the application of ...

Abstract: Digital twin cities integrated road damage inspection to support smart road infrastructure. The road’s condition was assessed using road damage survey metrics, and the issue was resolved ...

Three faculty members from Johns Hopkins University have been named 2026 Sloan Research Fellows by the Alfred P. Sloan ...

Researchers have developed an advanced artificial intelligence (AI) framework designed to significantly improve the forecasting of carbon dioxide emissions in the aviation sector. ACGRIME is an ...

Hyperoptax is still a WIP and the API is subject to change. There are many rough edges to smooth out. It is recommended to download specific versions or to download from source if you want to use it ...

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...