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 …

Short-term traffic congestion prediction using hybrid deep learning technique

M Anjaneyulu, M Kubendiran - Sustainability, 2022 - mdpi.com
A vital problem faced by urban areas, traffic congestion impacts wealth, climate, and air
pollution in cities. Sustainable transportation systems (STSs) play a crucial role in traffic …

Geo-spatial disease clustering for public health decision making

A ur Rahman - Informatica, 2022 - informatica.si
An explosion of interest has been observed in disease mapping with the developments in
advanced spatial statistics and the increasing availability of computerized geographic …

[PDF][PDF] Assessment of Information Extraction Techniques, Models and Systems.

A Rahman, D Musleh, M Nabil, H Alubaidan… - Mathematical …, 2022 - academia.edu
The present article aims to review and evaluate the practiced and classical techniques,
tools, models, and systems concerning automatic information extraction (IE) from published …

[PDF][PDF] Smart attendance management system

A Albahrani, ZA AL-Ali, ZY Al-Ali, A Al-Mssri… - IJCSNS, 2022 - researchgate.net
Keeping track of attendance while engaging students in the classroom may be tough,
especially when the class is big. The conventional method of calling pupils' names is tedious …