Deep learning techniques for the classification of brain tumor: A comprehensive survey
Researchers have given immense consideration to unsupervised approaches because of
their tendency for automatic feature generation and excellent performance with a reduced …
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
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 …
selection and the development of appropriate future study plans. The process of supporting …
Classification of Alzheimer's disease using convolutional neural networks
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 …
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 …
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 …
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 …
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 …
extremely exciting and powerful machine learning-based techniques used to solve many …
Gender Prediction from Retinal Fundus Using Deep Learning
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 …
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 …
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 …
diseases early. The diagnosis of heart diseases is a challenging task ie it must be done …