A deep-learning approach to driver drowsiness detection

MIB Ahmed, H Alabdulkarem, F Alomair, D Aldossary… - Safety, 2023 - mdpi.com
Drowsy driving is a widespread cause of traffic accidents, especially on highways. It has
become an essential task to seek an understanding of the situation in order to be able to …

Personal protective equipment detection: A deep-learning-based sustainable approach

MIB Ahmed, L Saraireh, A Rahman, S Al-Qarawi… - Sustainability, 2023 - mdpi.com
Personal protective equipment (PPE) can increase the safety of the worker for sure by
reducing the probability and severity of injury or fatal incidents at construction, chemical, and …

Assessing acetabular index angle in infants: a deep learning-based novel approach

F Jan, A Rahman, R Busaleh, H Alwarthan, S Aljaser… - Journal of …, 2023 - mdpi.com
Developmental dysplasia of the hip (DDH) is a disorder characterized by abnormal hip
development that frequently manifests in infancy and early childhood. Preventing DDH from …

Ensemble learning based sustainable approach to carbonate reservoirs permeability prediction

DA Musleh, SO Olatunji, AA Almajed, AS Alghamdi… - Sustainability, 2023 - mdpi.com
Permeability is a crucial property that can be used to indicate whether a material can hold
fluids or not. Predicting the permeability of carbonate reservoirs is always a challenging and …

Toward the novel AI tasks in infection biology

A Yakimovich - Msphere, 2024 - Am Soc Microbiol
Machine learning and artificial intelligence (AI) are becoming more common in infection
biology laboratories around the world. Yet, as they gain traction in research, novel frontiers …

Explainable deep learning diagnostic system for prediction of lung disease from medical images

NA Hroub, AN Alsannaa, M Alowaifeer… - Computers in Biology …, 2024 - Elsevier
Around the globe, respiratory lung diseases pose a severe threat to human survival. Based
on a central goal to reduce contiguous transmission from infected to healthy persons …

Exploring the efficacy of GRU model in classifying the signal to noise ratio of microgrid model

AA Alsulami, Q Abu Al-Haija, B Alturki, A Alqahtani… - Scientific Reports, 2024 - nature.com
Microgrids are small-scale energy system that supplies power to homes, businesses, and
industries. Microgrids can be considered as a trending technology in energy fields due to …

Deep Radiomics: A Picture's Worth a Thousand Words-A Review

S Meraj, A Shah, A Ismail, TM Sembokb… - 2024 IEEE 1st …, 2024 - ieeexplore.ieee.org
In recent decades, the prevalence of diseases has witnessed a notable surge. The
increasing health challenges have led to a greater use of advanced diagnostic machines for …

Birthweight Range Prediction and Classification: A Machine Learning-Based Sustainable Approach

DA Alabbad, SY Ajibi, RB Alotaibi, NK Alsqer… - Machine Learning and …, 2024 - mdpi.com
An accurate prediction of fetal birth weight is crucial in ensuring safe delivery without health
complications for the mother and baby. The uncertainty surrounding the fetus's birth …

Diabetes Detection and Forecasting using Machine Learning Approaches: Current State-of-the-art

A Alhashem, A Abdulbaset, F Almudarra… - … Journal of Computer …, 2023 - koreascience.kr
The emergence of COVID-19 virus has shaken almost every aspect of human life including
but not limited to social, financial, and economic changes. One of the most significant …