Assessment and evaluation of different machine learning algorithms for predicting student performance

YA Alsariera, Y Baashar, G Alkawsi… - Computational …, 2022 - Wiley Online Library
Student performance is crucial to the success of tertiary institutions. Especially, academic
achievement is one of the metrics used in rating top‐quality universities. Despite the large …

Leveraging Artificial Intelligence for Strategic Business Decision-Making: Opportunities and Challenges

MHM Hamadaqa, M Alnajjar, MN Ayyad, MA Al-Nakhal… - 2024 - philpapers.org
Artificial Intelligence (AI) has rapidly evolved, offering transformative capabilities for
business decision-making. This paper explores how AI can be leveraged to enhance …

Comparing different resampling methods in predicting students' performance using machine learning techniques

R Ghorbani, R Ghousi - IEEE access, 2020 - ieeexplore.ieee.org
In today's world, due to the advancement of technology, predicting the students' performance
is among the most beneficial and essential research topics. Data Mining is extremely helpful …

Lung cancer detection using artificial neural network

IM Nasser, SS Abu-Naser - International Journal of Engineering …, 2019 - papers.ssrn.com
In this paper, we developed an Artificial Neural Network (ANN) for detect the absence or
presence of lung cancer in human body. Symptoms were used to diagnose the lung cancer …

Parkinson's disease prediction using artificial neural network

RM Sadek, SA Mohammed, ARK Abunbehan… - 2019 - philpapers.org
Parkinson's Disease (PD) is a long-term degenerative disorder of the central nervous system
that mainly affects the motor system. The symptoms generally come on slowly over time …

Diabetes prediction using artificial neural network

NS El_Jerjawi, SS Abu-Naser - 2018 - philpapers.org
Diabetes is one of the most common diseases worldwide where a cure is not found for it yet.
Annually it cost a lot of money to care for people with diabetes. Thus the most important …

[PDF][PDF] Image-based tomato leaves diseases detection using deep learning

BAM Ashqar, SS Abu-Naser - 2018 - academia.edu
Crop diseases are a key danger for food security, but their speedy identification still difficult
in many portions of the world because of the lack of the essential infrastructure. The mixture …

[PDF][PDF] Predicting Titanic Survivors using Artificial Neural Network

AM Barhoom, AJ Khalil, BS Abu-Nasser, MM Musleh… - 2019 - researchgate.net
Although the Titanic disaster happened just over one hundred years ago, it still appeals
researchers to understand why some passengers survived while others did not. With the use …

Toward predicting student's academic performance using artificial neural networks (ANNs)

Y Baashar, G Alkawsi, A Mustafa, AA Alkahtani… - Applied Sciences, 2022 - mdpi.com
Student performance is related to complex and correlated factors. The implementation of a
new advancement of technologies in educational displacement has unlimited potentials …

Predicting tumor category using artificial neural networks

IM Nasser, SS Abu-Naser - 2019 - philpapers.org
In this paper an Artificial Neural Network (ANN) model, for predicting the category of a tumor
was developed and tested. Taking patients' tests, a number of information gained that …