Artificial intelligence is quietly taking over the box office. From the moment fans search for a show to the second they tap ...

Structural variations (SVs), including insertions, deletions, inversions, and substitutions, can profoundly influence gene ...

Researchers are devising technologies that help analyze and enhance human movement and performance.

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

Deepfakes, synthetic media, and automated impersonation tools are increasingly used to manipulate individuals, organizations, ...

The core utility of AI lies in its ability to process massive volumes of data and synthesize patterns. In ESG, models can aggregate vast, ambiguous, and often qualitative information into a single, ...

Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...

Every piece of land carries a story of development, transformation, and human impact. From expanding urban centers to shifting agricultural zones, land use plays a crucial role in shaping both local ...

Abstract: Passive direction finding has been studied over the past decades and theoretic performance prediction is a fundamental problem. The performance of the MUSIC algorithm for ...

Purpose: This paper aims to review the literature on 12-lead ECG reconstruction, highlight various algorithmic approaches and evaluate their predictive strengths. In addition, it investigates the ...