Deep learning techniques for the classification of brain tumor: A comprehensive survey

A Younis, L Qiang, M Khalid, B Clemence… - IEEE …, 2023 - ieeexplore.ieee.org
Researchers have given immense consideration to unsupervised approaches because of
their tendency for automatic feature generation and excellent performance with a reduced …

Prediction of student academic performance based on their emotional wellbeing and interaction on various e-learning platforms

A Kukkar, R Mohana, A Sharma, A Nayyar - Education and Information …, 2023 - Springer
Predicting student performance is crucial in higher education, as it facilitates course
selection and the development of appropriate future study plans. The process of supporting …

Classification of Alzheimer's disease using convolutional neural networks

LF Samhan, AH Alfarra, SS Abu-Naser - 2022 - philpapers.org
Brain-related diseases are among the most difficult diseases due to their sensitivity, the
difficulty of performing operations, and their high costs. In contrast, the operation is not …

Detection of brain tumor using deep learning

HR Almadhoun, SS Abu-Naser - 2022 - philpapers.org
Artificial intelligence (AI) is an area of computer science that emphasizes the creation of
intelligent machines or software that work and reacts like humans, some of the computer …

Classification of anomalies in gastrointestinal tract using deep learning

IM Dheir, SS Abu-Naser - 2022 - philpapers.org
Automatic detection of diseases and anatomical landmarks in medical images by the use of
computers is important and considered a challenging process that could help medical …

Fraudulent financial transactions detection using machine learning

MMM Megdad, SS Abu-Naser, BS Abu-Nasser - 2022 - philpapers.org
It is crucial to actively detect the risks of transactions in a financial company to improve
customer experience and minimize financial loss. In this study, we compare different …

Classification of real and fake human faces using deep learning

FM Salman, SS Abu-Naser - 2022 - philpapers.org
Artificial intelligence (AI), deep learning, machine learning and neural networks represent
extremely exciting and powerful machine learning-based techniques used to solve many …

Gender Prediction from Retinal Fundus Using Deep Learning

AM Taha, QMM Zarandah, BS Abu-Nasser… - 2022 - philpapers.org
Deep learning may transform health care, but model development has largely been
dependent on availability of advanced technical expertise. The aim of this study is to …

Books' rating prediction using just neural network

AM Maghari, IA Al-Najjar, SJ Al-Laqtah, SS Abu-Naser - 2020 - philpapers.org
The aim behind analyzing the Goodreads dataset is to get a fair idea about the relationships
between the multiple attributes a book might have, such as: the aggregate rating of each …

Prediction of heart disease using a collection of machine and deep learning algorithms

AMA Barhoom, A Almasri, BS Abu-Nasser… - 2022 - philpapers.org
Heart diseases are increasing daily at a rapid rate and it is alarming and vital to predict heart
diseases early. The diagnosis of heart diseases is a challenging task ie it must be done …