Abstract: Distracted driving is a significant cause of road accidents worldwide, so innovative solutions for effective detection and prevention are needed. This study explores recent advancements in ...

Abstract: Identifying diseases in apple leaves plays a vital role in boosting farm productivity and preventing crop losses. This research introduces a comprehensive approach for classifying images of ...

Metabolic dysfunction-associated fatty liver disease (MAFLD) is a complex metabolic disorder and one of the leading causes of chronic liver disease worldwide. Current diagnostic tools, such as ...

Introduction: Peripheral Artery Disease (PAD) is a progressive vascular disorder impairing mobility, raising fall risk, and reducing quality of life. Early detection is key to preventing amputations ...

Latest release: 0.1.0-rc.1 (February 5, 2026) — 4,409/4,410 tests passing (99.98%), 173 skipped. See the CHANGELOG.md for highlights and upgrade guidance.

Alpha Release Notice (0.1.0-alpha.1 · 2025-09-27) This is the first public alpha. APIs may change; performance paths are under active tuning. Please pin exact ...

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...

Division of Applied Chemistry, Faculty of Engineering, Hokkaido University, Kita 13, Nishi 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan ...