Deep learning approach to recyclable products classification: Towards sustainable waste management

MIB Ahmed, RB Alotaibi, RA Al-Qahtani, RS Al-Qahtani… - Sustainability, 2023 - mdpi.com
Effective waste management and recycling are essential for sustainable development and
environmental conservation. It is a global issue around the globe and emerging in Saudi …

A deep-learning approach to driver drowsiness detection

MIB Ahmed, H Alabdulkarem, F Alomair, D Aldossary… - Safety, 2023 - mdpi.com
Drowsy driving is a widespread cause of traffic accidents, especially on highways. It has
become an essential task to seek an understanding of the situation in order to be able to …

Emerging Technologies and Public Innovation in the Saudi Public Sector: An Analysis of Adoption and Challenges Amidst Vision 2030.

MG Bendary, J Rajadurai - Innovation Journal, 2024 - search.ebscohost.com
Abstract Utilizing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses
(PRISMA) methodology, this study conducts a comprehensive examination of the adoption …

Feature Detection Based on Imaging and Genetic Data Using Multi-Kernel Support Vector Machine–Apriori Model

Z Hu, C Tang, Y Liang, S Chang, X Ni, S Xiao, X Meng… - Mathematics, 2024 - mdpi.com
Alzheimer's disease (AD) is a significant neurological disorder characterized by progressive
cognitive decline and memory loss. One essential task is understanding the molecular …

[PDF][PDF] Intelligent Directional Survey Data Analysis to Improve Directional Data Acquisition.

MIB Ahmed, RA Zaghdoud, MS Ahmed… - Mathematical …, 2023 - researchgate.net
Accepted: 20 November 2022 Many countries rely on oil and gas production as it is an
essential part of the global economy. As a result, various challenges may thrive from the …

[PDF][PDF] Early Detection of Diabetic Retinopathy Utilizing Advanced Fuzzy Logic Techniques.

MIB Ahmed - Mathematical Modelling of Engineering Problems, 2023 - researchgate.net
The escalating prevalence of diabetes globally, exacerbated by lifestyle changes
postpandemic—including increased screen time, sedentary behavior, and remote work …

Prediction of Early Stage Alzheimer's using Machine Learning Algorithm

P Jadhao, P Palsodkar, R Raut… - 2023 4th …, 2023 - ieeexplore.ieee.org
Dementia can impair cognitive abilities. It is a mental ability deterioration with memory loss.
The most frequent type of dementia is Alzheimer's disease (AD). In this paper, a Kaggle data …

Preemptive Diagnosis of Colorectal Cancer Using Computational Intelligence Techniques

SO Olatunji, S Aleissa, M Alakkas… - … Women in Data …, 2024 - ieeexplore.ieee.org
One of the most common cancers in the world is colorectal cancer. Due to this increasing
global concern, the focus of this study was to enhance the predictive power of Machine …

Multi-task analysis of gene expression data on cancer public datasets

Y Martins - medRxiv, 2023 - medrxiv.org
Background There is an availability of omics and often multi-omics cancer datasets on public
databases such as Gene Expression Omnibus (GEO), International Cancer Genome …

Preemptive Diagnosis of Hypertension Using Computational Intelligence Techniques

S Aleissa, SO Olatunji, M Alakkas, Z Albugeaey… - Artificial Intelligence …, 2024 - Springer
One of the most dangerous yet silent chronic diseases in the world is Hypertension, which
has little to no symptoms and can risk strokes, heart attacks, and other sudden problems if …