A5050991529- Semantic Web and Ontologies
- Technology Adoption and User Behaviour
- Service-Oriented Architecture and Web Services
- Adaptive Control of Nonlinear Systems
- Knowledge Management and Sharing
- ERP Systems Implementation and Impact
- Control and Dynamics of Mobile Robots
- Business Process Modeling and Analysis
- Big Data and Business Intelligence
- Organizational and Employee Performance
- Virtual Reality Applications and Impacts
- Traffic Prediction and Management Techniques
- Advanced Database Systems and Queries
- Traffic and Road Safety
- Disaster Management and Resilience
- Flood Risk Assessment and Management
- Digital Marketing and Social Media
- Blockchain Technology Applications and Security
- Education and Islamic Studies
- Dynamics and Control of Mechanical Systems
- Consumer Retail Behavior Studies
- Control Systems in Engineering
- Smart Cities and Technologies
- Customer Service Quality and Loyalty
- E-Government and Public Services
National University of Malaysia
2018-2025
Infrastructure University Kuala Lumpur
2022-2024
National Institute of Technology Delhi
2024
Universiti Teknologi MARA
2018-2023
Universiti Teknologi MARA System
2021-2023
Lancashire Care NHS Foundation Trust
2021
University of Technology Malaysia
2007-2018
Qassim University
2018
Bayero University Kano
2015
The University of Queensland
2006-2008
Micro-energy harvesting (MEH) is a technology of renewable power generation which key for hosting the future low-powered electronic devices wireless sensor networks (WSNs) and, Internet Things (IoT). Recent technological advancements have given rise to several resources and technologies that are boosting particular facets society. Many researchers now interested in studying MEH systems ultra-low IoT sensors WSNs. A comprehensive study will help manage single as source multiple The popular...
The probabilistic hesitant elements (PHFEs) are a beneficial augmentation to the fuzzy element (HFE), which is intended give decision-makers more flexibility in expressing their biases while using information. To extrapolate accurate interpretation of decision documentation, it sufficient standardize organization PHFEs without introducing fictional elements. Several processes for unifying and arranging components have been proposed so far, but most them result various disadvantages that...
Purpose – During the past decade, there has been vast investment in Enterprise Resource Planning (ERP) system packages, addition to a significant increase importance of acceptance by users ERP regarding success or failure implementation. The purpose this paper is identify external factors which influence acceptance. work motivated realization that transformational leadership (TL) and self-efficacy are critical can affect Design/methodology/approach A framework developed from study literature...
Adoption factors relating to enterprise resource planning (ERP) have been studied quite extensively over the years. Most of earlier studies on cloud ERP focused only technical and operational issues. A few addressed adoption from user's perspective, mostly assessing effects innovation characteristics or contextual factors. Very date conducted a holistic evaluation both direct indirect determinants in manufacturing SMEs. Therefore, this study aims explore gain an understanding for its...
Open government data (OGD) has huge potential to increase transparency, accountability, and participation while improving efficiency in operations, data-driven evidence-based policymaking, trust institutions. Despite its benefits, OGD not been widely successfully adopted public sector organizations, particularly developing countries. Therefore, the purpose of this study is explore theories/frameworks determinants that influence adoption organizations. To ascertain various involved a...
Wireless Body Area Sensor Network (WBASN) is an automated system for remote health monitoring of patients. WBASN under umbrella Internet Things (IoT) comprised small Biomedical Nodes (BSNs) that can communicate with each other without human involvement. These BSNs be placed on body or inside the skin patients to regularly monitor their vital signs. The generate critical data as it related patient's health. traffic classified Sensitive Data (SD) and Non-sensitive (ND) packets based value have...
The use of virtual reality in social skills training for high functioning autism spectrum disorder (HFASD) youth has been found to be engaging and enjoyable. Despite the promising results, previous literature indicates that there no consensus on target content. There is also limited research how evidence-based strategies like cognitive behaviour techniques are instantiated into VR environment teach skills. aim this study determine key components design a content using youths with HFASD....
A path tracking control algorithm for tracked surface drilling machines is presented. The general dynamic model of such vehicle simulated including track-soil interactions. controller based on feedback linearization the equations with feedforward friction compensation. It linearizes complex force-slip relationship to relate states system inputs. simplified models applied detailed vehicle. result an accurate lateral offset and forward velocity error along a path.
Aim/Purpose: This paper addresses the lack of a standardized approach to information dashboard design and absence integrated Information Governance (IG) principles in this context. Background: study critical role IG ensuring dashboards are reliable, secure, effective. By integrating into work-in-progress Dashboard Design Ontology (IDDO), aims enhance systematic development dashboards, addressing real-world issues such as data governance failures Healthcare.gov, security breaches CRM systems...
Artificial Neural Networks (ANNs) play an essential role in artificial intelligence to explore and simulate the traffic behaviour on road network safety. In this study, eight cluster as input variables one output were utilize performance of model. Input predictors involved conflict, vehicle category, second vehicles passing right turn motor (RMV), first speed limit, gap pattern, day time, infrastructure. Meanwhile (RMV). Network Fitting apply Machine Learning has been implemented measure...
High Functioning Autism Spectrum Disorder (HFASD) describes individuals who lack intellectual disability but show deficits in communication and social interaction. The double empathy problem (DEP) suggests that miscommunication involves differences understanding emotions between with without autism. This qualitative study examines difficulties faced by HFASD youths Malaysia, gathering perspectives from the youths, parents, experts. Interviews 26 participants, including 13 7 6 healthcare...