[HTML][HTML] Intrusion detection system using feature extraction with machine learning algorithms in IoT

D Musleh, M Alotaibi, F Alhaidari, A Rahman… - Journal of Sensor and …, 2023 - mdpi.com
With the continuous increase in Internet of Things (IoT) device usage, more interest has
been shown in internet security, specifically focusing on protecting these vulnerable devices …

[HTML][HTML] Joint diagnosis of pneumonia, COVID-19, and tuberculosis from chest X-ray images: a deep learning approach

MS Ahmed, A Rahman, F AlGhamdi, S AlDakheel… - Diagnostics, 2023 - mdpi.com
Pneumonia, COVID-19, and tuberculosis are some of the most fatal and common lung
diseases in the current era. Several approaches have been proposed in the literature for the …

[HTML][HTML] Data mining approach to predict success of secondary school students: A Saudi Arabian case study

AS Alghamdi, A Rahman - Education Sciences, 2023 - mdpi.com
A problem that pervades throughout students' careers is their poor performance in high
school. Predicting students' academic performance helps educational institutions in many …

Vision-based traffic accident detection and anticipation: A survey

J Fang, J Qiao, J Xue, Z Li - … on Circuits and Systems for Video …, 2023 - ieeexplore.ieee.org
Traffic accident detection and anticipation is an obstinate road safety problem and
painstaking efforts have been devoted. With the rapid growth of video data, Vision-based …

[HTML][HTML] Deep learning approach to recyclable products classification: Towards sustainable waste management

MIB Ahmed, RB Alotaibi, RA Al-Qahtani, RS Al-Qahtani… - Sustainability, 2023 - mdpi.com
Effective waste management and recycling are essential for sustainable development and
environmental conservation. It is a global issue around the globe and emerging in Saudi …

[HTML][HTML] 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 …

[HTML][HTML] Transfer Learning Approach to Seed Taxonomy: A Wild Plant Case Study

NM Ibrahim, DG Gabr, A Rahman, D Musleh… - Big Data and Cognitive …, 2023 - mdpi.com
Plant taxonomy is the scientific study of the classification and naming of various plant
species. It is a branch of biology that aims to categorize and organize the diverse variety of …

[HTML][HTML] 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 …

[HTML][HTML] 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 …

[HTML][HTML] A lightweight transfer learning model with pruned and distilled YOLOv5s to identify arc magnet surface defects

Q Huang, Y Zhou, T Yang, K Yang, L Cao, Y Xia - Applied Sciences, 2023 - mdpi.com
Surface defects in arc magnets constitute the main culprit for performance degradation and
safety hazards in permanent magnet motors. Machine-vision methods offer the possibility to …