EEG seizure detection: concepts, techniques, challenges, and future trends

AA Ein Shoka, MM Dessouky, A El-Sayed… - Multimedia Tools and …, 2023 - Springer
A central nervous system disorder is usually referred to as epilepsy. In epilepsy brain activity
becomes abnormal, leading to times of abnormal behavior or seizures, and at times loss of …

A real-time computer vision based approach to detection and classification of traffic incidents

MI Basheer Ahmed, R Zaghdoud, MS Ahmed… - Big data and cognitive …, 2023 - mdpi.com
To constructively ameliorate and enhance traffic safety measures in Saudi Arabia, a prolific
number of AI (Artificial Intelligence) traffic surveillance technologies have emerged …

An IoMT‐Enabled Smart Healthcare Model to Monitor Elderly People Using Machine Learning Technique

MF Khan, TM Ghazal, RA Said, A Fatima… - Computational …, 2021 - Wiley Online Library
The Internet of Medical Things (IoMT) enables digital devices to gather, infer, and broadcast
health data via the cloud platform. The phenomenal growth of the IoMT is fueled by many …

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 …

A review on machine learning approaches in identification of pediatric epilepsy

MIB Ahmed, S Alotaibi, S Dash, M Nabil… - SN computer science, 2022 - Springer
Epilepsy is the second most common neurological disease after Alzheimer. It is a disorder of
the brain which results in recurrent seizures. Though the epilepsy in general is considered …

A deep learning approach to intelligent fruit identification and family classification

NM Ibrahim, DGI Gabr, A Rahman, S Dash… - Multimedia Tools and …, 2022 - Springer
The deep learning techniques have been playing an important role in the identification and
classification problems such as diseases in medical science, marketing in the industry …

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 …

[PDF][PDF] A Novel Metadata Based Multi-Label Document Classification Technique.

NA Sajid, M Ahmad, A Rahman, G Zaman… - … Systems Science & …, 2023 - academia.edu
From the beginning, the process of research and its publication is an ever-growing
phenomenon and with the emergence of web technologies, its growth rate is overwhelming …

[PDF][PDF] A Neuro-Fuzzy Approach to Road Traffic Congestion Prediction.

M Gollapalli, D Musleh, N Ibrahim, MA Khan… - … , Materials & Continua, 2022 - academia.edu
The fast-paced growth of artificial intelligence applications provides unparalleled
opportunities to improve the efficiency of various systems. Such as the transportation sector …

[PDF][PDF] Intelligent Model for Predicting the Quality of Services Violation.

MA Khan, A Kanwal, S Abbas, F Khan… - … , Materials & Continua, 2022 - researchgate.net
Cloud computing is providing IT services to its customer based on Service level agreements
(SLAs). It is important for cloud service providers to provide reliable Quality of service (QoS) …