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LQG-Based Virtual Inertial Control of Islanded Microgrid Load Frequency Control and DoS Attack Vulnerability Analysis
Published 2023“…<p dir="ltr">The load frequency control (LFC) in modern power system like microgrid has turned out to be significantly challenging due to the high penetration of renewable energy sources (RESs) and the consequent reduction of overall system inertia. …”
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143
“Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms”
Published 2023“…A media for immersive learning, metaverse could set future educational trends and lead to significant reform in education. Although the metaverse has the potential to improve the effectiveness of online learning experiences, metaverse-based educational implementations are still in their infancy. …”
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Non-Linear Programming-Based Energy Management for a Wind Farm Coupled with Pumped Hydro Storage System
Published 2022“…Indeed, such an integration has been causing significant grid stability issues (voltage and frequency control) due to the dependency of RESs on meteorological conditions. …”
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Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection
Published 2025“…Our approach significantly outperformed state-of-the-art methods in terms of classification accuracy. …”
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149
QFD-based optimization model for mitigating sustainable supply chain management adoption challenges for Bangladeshi RMG industries
Published 2024“…While previous studies often relied on single techniques, this research proposes a novel AHP integrated QFD-based MILP optimization model. This innovative approach empowers Bangladeshi RMG industries to make data-driven decisions for prioritizing <u>sustainability</u> challenges and selecting cost-effective mitigation strategies to promote the integration of sustainability initiatives within the sector. …”
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A Multi-Feature Based Approach Incorporating Variable Thresholds for Detecting Price Spikes in the National Electricity Market of Australia
Published 2021“…<p dir="ltr">Detecting electricity price spikes is crucial as it helps market participants to gain confidence and formulate appropriate strategy to maximize their benefits. In this paper, a multi-feature based approach with the incorporation of variable thresholds is developed to detect electricity price spikes in the national electricity market of Australia. …”
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Enhanced Control of Single-Stage PV-STATCOM Using Hybrid MPPT and Adaptive AHLMS for Power Quality Improvement
Published 2025“…The system is designed to efficiently deliver solar energy to both the load and the grid while significantly improving power quality (PQ). It employs a hybrid pelican and perturbs and observe and particle swarm optimization (PSO) based maximum power point tracking (MPPT) algorithm to consistently extract peak power from the PV array. …”
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Strengthening Health Sector Resilience to CBRN Emergencies in the Middle East and North Africa: Analysing Insights from Disaster Management Experts
Published 2024“…<h3>Background</h3><p dir="ltr">Though rare, CBRN (Chemical, Biological, Radiological, and Nuclear) emergencies pose a significant threat to public health and can escalate into cross-border crises. …”
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Time-Driven Activity-Based Costing Implementation in the Automotive After-Sales Service Sector Using the Six Sigma DMAIC Approach
Published 2024“…This research explores how Time-Driven Activity-Based Costing (TDABC) is applied in the automotive after-sales services operating within a service centre located in Dubai, UAE. …”
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Towards a knowledge-hub destination: analysis and recommendation for implementing TOD for Qatar national library metro station
Published 2023“…The study examines the potential of QNL as a destination TOD to enhance the area's mission as a driver for a knowledge-based economy. The methodological approach is based on the analytical concepts obtained from the Integrated Modification Methodology as a sustainable urban design process. …”
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Blue collar laborers’ travel pattern recognition: Machine learning classifier approach
Published 2021“…Furthermore, whilst the Bagged Clusters and Pamk Clusters techniques on the three attributes yielded similar results, the Cmeans Clusters differed significantly in a number of the clusters. Applying such pattern recognition models on big and complex activity datasets could assist transport planners to understand the travel needs of segments of the population well and formulating better-informed strategies.…”