A5036342527- Neural Networks and Applications
- Explainable Artificial Intelligence (XAI)
- Metaheuristic Optimization Algorithms Research
- Tactile and Sensory Interactions
- Concrete Corrosion and Durability
- Virtual Reality Applications and Impacts
- Advanced Algorithms and Applications
- Artificial Intelligence in Healthcare and Education
- Infrastructure Maintenance and Monitoring
- Air Quality Monitoring and Forecasting
- Fuzzy Logic and Control Systems
- Energy Load and Power Forecasting
- Structural Health Monitoring Techniques
- Frailty in Older Adults
- Electric and Hybrid Vehicle Technologies
- Advanced Battery Technologies Research
- Vestibular and auditory disorders
- Advanced Graph Neural Networks
- Electric Vehicles and Infrastructure
- Big Data and Business Intelligence
- Fuel Cells and Related Materials
- Machine Learning in Healthcare
- Risk and Safety Analysis
- Advanced Sensor and Control Systems
- Industrial Technology and Control Systems
Australian Catholic University
2024-2025
Charles Darwin University
2022-2024
University of Technology Sydney
2023
Central Queensland University
2023
Shanxi Normal University
2023
Torrens University Australia
2020-2023
International Medical University
2016-2018
University of Nottingham Malaysia Campus
2013-2015
Islamic Azad University, Tehran
2007-2010
Islamic Azad University, Science and Research Branch
2009-2010
Since the pandemic organizations have been required to build agility manage risks, stakeholder engagement, improve capabilities and maturity levels deliver on strategy. Not only is there a requirement performance, focus employee engagement increased use of technology surfaced as important factors remain competitive in new world. Consideration strategic horizon, foresight support structures critical for formulation, execution transformation Strategic Artificial Intelligence modelling are ways...
Since the pandemic started, organisations have been actively seeking ways to improve their organisational agility and resilience (regility) turn Artificial Intelligence (AI) gain a deeper understanding further enhance regility. Organisations are turning AI as critical enabler achieve these goals. empowers by analysing large data sets quickly accurately, enabling faster decision-making building resilience. This strategic use of gives businesses competitive advantage allows them adapt rapidly...
Introduction An automated computerized approach can aid radiologists in the early diagnosis of lung disease from video modalities. This study focuses on difficulties associated with identifying and categorizing respiratory diseases, including COVID-19, influenza, pneumonia. Methods We propose a novel method that combines three dimensional (3D) models, model explainability (XAI), Decision Support System (DSS) utilizes ultrasound (LUS) videos. The objective is to improve quality frames, boost...
Perceptual recognition of tourist destinations is vital in representing the destination image, supporting management decision-making, and promoting tourism recommendations. However, previous studies on perception have limitations regarding accuracy completeness related to research methods. This study addresses these by proposing an efficient strategy achieve precise perceptual while ensuring integrity user-generated content (UGC) data dimensions. We integrated various types UGC data,...
This paper presents an innovative approach to improve the assessment of mechanical responses in short-span bridges, introducing a novel method with significant implications for bridge engineering. The integrates convolutional neural network (CNN) and multilayer perceptron (MLP) model monitor stiffness degradation spans over time, representing step forward SHM techniques. By harnessing power networks, our enables simultaneous monitoring at multiple measurement points across or various time...
Among all the gas disasters, concentration exceeding threshold limit value (TLV) has been leading cause of accidents. However, most systems still focus on exploring methods and framework for avoiding reaching or TLV from viewpoints impacts geological conditions coal mining working-face elements. The previous study developed a Trip-Correlation Analysis Theoretical Framework found strong correlations between gas, temperature, wind in monitoring system. this framework's effectiveness must be...
Australia is currently one of the leading destination countries for International Students (IS), ranking third in popularity as a study destination. There sparse research into experience IS including factors influencing their within Australian higher education system. This integrative review aims to synthesize knowledge on IS’ education, experience. The included 15 qualitative studies, three quantitative mixed methods studies and two literature reviews. perceived challenging. They reported...
This research aims to explore the multi-focus group method as an effective tool for systematically eliciting business requirements information system (BIS) projects. During COVID-19 crisis, many businesses plan transform their into digital businesses. Business managers face a critical challenge: they do not know much about detailed and what want transformation requirements. Among approaches used understanding requirements, focus has been help elicit BIS needs over past 30 years. However,...
Graph neural networks (GNNs) have proven their efficacy in a variety of real-world applications, but underlying mechanisms remain mystery. To address this challenge and enable reliable decision-making, many GNN explainers been proposed recent years. However, these methods often encounter limitations, including dependence on specific instances, lack generalizability to unseen graphs, producing potentially invalid explanations, yielding inadequate fidelity. overcome we, paper, introduce the...