Fuzzy neural network expert system with an improved Gini index random forest-based feature importance measure algorithm for early diagnosis of breast cancer in …

EA Algehyne, ML Jibril, NA Algehainy… - Big Data and Cognitive …, 2022 - mdpi.com
Breast cancer is one of the common malignancies among females in Saudi Arabia and has
also been ranked as the one most prevalent and the number two killer disease in the …

Learning features using an optimized artificial neural network for breast cancer diagnosis

I AlShourbaji, P Kachare, W Zogaan… - SN Computer …, 2022 - Springer
Breast cancer (BC) has been one of the significant causes of death worldwide, and its early
detection can play a vital role in increasing the survival rate of this disease. This paper …

A recommendation system for selecting the appropriate undergraduate program at higher education institutions using graduate student data

Y Zayed, Y Salman, A Hasasneh - Applied Sciences, 2022 - mdpi.com
Selecting the appropriate undergraduate program is a critical decision for students. Many
elements influence this choice for secondary students, including financial, social …

Cnn-lstm deep learning based forecasting model for covid-19 infection cases in Nigeria, South Africa and Botswana

LJ Muhammad, AA Haruna, US Sharif… - Health and …, 2022 - Springer
Background COVID-19 pandemic has indeed plunged the global community especially
African countries into an alarming difficult situation culminating into a great deal amounts of …

Understanding People Analytics Adoption to Support Higher Education Competitive Advantages: A Literature Review

SW Prasetyaningtyas, A Rohman… - … Conference on ICT …, 2022 - ieeexplore.ieee.org
This study expects to systemically review the current investigations on the relationship of
people analytics adoption to support higher education's competitive advantage. Through a …

CNN-LSTM learning approach for classification of foliar disease of apple

AA Haruna, IA Badi, LJ Muhammad… - … Innovations in Smart …, 2023 - ieeexplore.ieee.org
Deep learning techniques haven been the efficient artificial intelligence techniques that is
being used for developing models for autonomous feature extraction, classification and …

[PDF][PDF] A Machine Learning Approach for Prediction of Students' Admissibility for Post-Secondary Education using Artificial Neural Network

A Ekong, A Silas, S Inyang - Int. J. Comput. Appl, 2022 - researchgate.net
Student admission's process is a method of selecting qualified candidates for admission.
Challenges such as facility constraints and insufficient ability to meet the continuously rising …

Recommender System for STEM Enrolment in Universities Using Machine Learning Algorithms: Case of Kenyan Universities

B Ondiek, L Waruguru, S Njenga - International Journal of …, 2023 - ijstm.inarah.co.id
Abstract Technology, Engineering, and Mathematics (STEM) enrolment has gained a lot of
research interest. The increase in demand for STEM-based skill sets has contributed to the …

SBS feature selection and AdaBoost classifier for specialization/major recommendation for undergraduate students

N Mansouri, M Abed, M Soui - Education and Information Technologies, 2024 - Springer
Selecting undergraduate majors or specializations is a crucial decision for students since it
considerably impacts their educational and career paths. Moreover, their decisions should …

AI-Powered Academic Guidance and Counseling System Based on Student Profile and Interests

H Majjate, Y Bellarhmouch, A Jeghal… - Applied System …, 2023 - mdpi.com
Over the past few decades, the education sector has achieved impressive advancements by
incorporating Artificial Intelligence (AI) into the educational environment. Nevertheless …