Attention-Deficit Hyperactivity Disorder Prediction by Artificial Intelligence Techniques

RH Ali, WH Abdulsalam - Iraqi Journal of Science, 2024 - ijs.uobaghdad.edu.iq
Attention-Deficit Hyperactivity Disorder (ADHD), a neurodevelopmental disorder affecting
millions of people globally, is defined by symptoms of hyperactivity, impulsivity, and …

Towards a Literature Review Methodology: A Practical Guide in the Context of Using Artificial Intelligence in Education.

M El Jihaoui, O El Kheir Abra… - International …, 2024 - search.ebscohost.com
Scientific research plays an essential role in the development of mankind through its ability
to provide innovative solutions and technological advances in various fields. In this …

Automated Glaucoma Detection Techniques: an Article Review

WH Abdulsalam, RH Ali, SS Hussien - 2024 - researchsquare.com
Glaucoma, a vision-threatening disease, poses a serious concern and requires early
detection and intervention to avoid irreversible vision loss. Significant advances in …

Прогнозирование результатов обучения студентов с использованием инструментов машинного обучения

ЮЮ Якунин, ВН Шестаков… - Информатика и …, 2023 - info.infojournal.ru
Аннотация Цифровые помощники все больше проникают в разные области
деятельности человека, в том числе и в образовательную. Сегодня это уже не просто …

[PDF][PDF] Analysis of student performance through data mining techniques. Study case: Learning management system at UET

J GURABARDHI, T XHINDI - Editorial Board, 2024 - uet.edu.al
Abstract Industry 4.0, like in any other field, also in education, has made it possible for the
activities of teaching to continue to develop and the efforts made are for distance learning or …

[PDF][PDF] Detection of Mirai attack on IoT environment using Machine Learning Techniques

MH Abdulhasan - ishraqat tanmawia, 2024 - iasj.net
Abstract The Internet of Things (IoT) is a network that enables connection of intelligent
devices through the Internet. These devices are becoming more prevalent in all aspects of …