Driver Drowsiness Prediction through Eye Movement Behavior: A Vision-Based Machine Learning Model Hussein Ayad M. Alsalaet Volume 2, Issue 8, Pages 1-5, August 2025 Driver fatigue is a major cause of road accidents worldwide, leading to severe injuries, fatalities, and economic losses. In this study, we present a real-time driver drowsiness detection system based on eye movement analysis, integrating machine learning algorithms with advanced eye-tracking technology. The system monitors blink rate, gaze duration, and pupil dilation to evaluate alertness l... Read More Article DOI: doi.org/10.47001/JAIET/2025.208001
Assessment of Rats Exposed to Aflatoxin B1 Early in Life and Impact on the Offspring Sarab Shaher Almustafa Asal Faiz Hameed Aldabbagh Volume 2, Issue 8, Pages 6-16, August 2025 Aflatoxin-producing Aspergillus fungi produce hazardous compounds that often contaminate food in tropical regions. In some areas, the most harmful kind, aflatoxin B1 (AFB1), is a primary contributor to liver cancer, often known as hepatocellular carcinoma, or HCC. There is a significant frequency of aflatoxin contamination, and early onset of HCC has been linked to perinatal exposure to AFB1.... Read More Article DOI: doi.org/10.47001/JAIET/2025.208002
An Enhanced User Privacy Model in Context Aware Authentication System using Behavioural Biometrics Taylor, Onate Egerton Davies, Isobo Nelson Volume 2, Issue 8, Pages 17-25, August 2025 Authentication is a fundamental component of digital security, yet traditional mechanisms such as passwords and tokens are increasingly vulnerable to compromise. While behavioural biometrics and context-aware authentication have emerged as promising alternatives, they introduce privacy concerns when sensitive data is stored or transmitted without adequate protection. This paper presents a pri... Read More Article DOI: doi.org/10.47001/JAIET/2025.208003
Fusion of Visual and Motion Modalities for Sign Language Recognition Using Deep Learning Vijayalakshmi M Rajkumar C Volume 2, Issue 8, Pages 26-29, August 2025 Sign language recognition (SLR) plays a crucial role in bridging the communication gap between the deaf and hearing communities. However, accurate interpretation of sign gestures remains challenging due to variations in hand shape, movement dynamics, occlusion, lighting conditions, and signer-specific differences. This research proposes a deep learning–based framework that integrates the fu... Read More Article DOI: doi.org/10.47001/JAIET/2025.208004
Intelligent Cloud-Based System for Automated Crop Disease Diagnosis and Forecasting Abdelrahman Ahmed Mustafa Osman Samira Yousif Volume 2, Issue 8, Pages 30-34, August 2025 Early and accurate diagnosis of crop diseases is critical for improving agricultural productivity and ensuring global food security. Traditional disease identification methods rely heavily on manual inspection and expert knowledge, which are time-consuming, subjective, and often inaccessible to small-scale farmers. This research proposes an intelligent cloud-based system for automated crop di... Read More Article DOI: doi.org/10.47001/JAIET/2025.208005
