A5053836599- Healthcare Operations and Scheduling Optimization
- Scheduling and Timetabling Solutions
- Interactive and Immersive Displays
- Advanced Wireless Network Optimization
- COVID-19 diagnosis using AI
- Advanced Multi-Objective Optimization Algorithms
- Mobile Health and mHealth Applications
- Artificial Intelligence in Healthcare
- Hospital Admissions and Outcomes
- User Authentication and Security Systems
- Blockchain Technology Applications and Security
- Big Data and Business Intelligence
- Metaheuristic Optimization Algorithms Research
- Organizational and Employee Performance
- Gaze Tracking and Assistive Technology
- Ship Hydrodynamics and Maneuverability
- Evolutionary Algorithms and Applications
Universiti Malaysia Perlis
2021-2023
Alsalam University College
2021-2023
This study presents a comprehensive bibliometric analysis of global research at the intersection Artificial Intelligence (AI) and Sustainable Development Goals (SDGs) from 2023 to 2025, based on 1,349 Scopus-indexed documents. The findings reveal rapidly emerging yet structurally diverse field characterized by high thematic dispersion, moderate growth, early citation impact. India leads in output, while countries like Malaysia Saudi Arabia exhibit international collaboration rates....
Abstract This paper proposes a new password generation technique on the basis of mouse motion and special case location recognized by number clicks to protect sensitive data for different companies. Two, three locations click points users has been proposed increase complexity. Unlike other currently available random generators, path will be added admin, authorized have training it. method aims combinations graphical using limited users. A mathematical model is developed calculate performance...
Owing to the increasing interest in artificial neural networks (ANNs) across various fields of study, many studies have focused on enhancing their performance through utilisation different learning algorithms. This study examines use Whale Optimization Algorithm (WOA) as a training algorithm improve classification accuracy ANNs. To achieve high level with ANN models, it is imperative ensure that model appropriately designed terms employed structure, and activation function. In this work, WOA...