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Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems
Published 2023“…The last retained features from the proposed PSO-based methods are fed to the neural network (NN) classifier. The proposed methodology improves the diagnosis abilities, reduces the computation time, and decreased the storage cost. …”
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Design and analysis of PV fed high-voltage gain DC-DC converter using PI and NN controllers
Published 2022“…When the converter switch comes under active state two capacitors are discharged in series, similarly when the converter switch under inactive state those two capacitors are charged in parallel through the coupled inductor (CI) energy so, to get a high voltage at the converter output side. To reuse the leakage-inductor (LI) energy of the CI with the help of a passive clamp circuit for reducing the voltage stress across the switch, similarly switch has less resistance so conduction losses also decreased. …”
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Multi-Objective Task Allocation Via Multi-Agent Coalition Formation
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The Role of Artifical Intelligence in Enterprise Risk Managment
Published 2023“…AI can be an effective tool in business since it drives cost efficiencies and operational awareness. …”
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Graph-Guided Regularized Regression of Pacific Ocean Climate Variables to Increase Predictive Skill of Southwestern U.S. Winter Precipitation
Published 2021“…Physics-based deterministic models show limited ability to predict precipitation as the lead time increases, due to imperfect representation of physical processes and incomplete knowledge of initial conditions. …”
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A Low Cost, Large Bandwidth Patch Antenna design for utilization in Frequency Diverse Arrays
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The microbiome-lymphoma Axis: A systematic review and Meta-analysis of gut Dysbiosis pattern in diffuse large B-cell lymphoma
Published 2025“…<h3>Background</h3><p dir="ltr">Gut microbiota has emerged as a critical mediator of immune homeostasis and cancer biology. Increasing evidence suggests that gut dysbiosis may play a significant role in the pathogenesis of diffuse large B-cell lymphoma (DLBCL), the most common and aggressive subtype of non-Hodgkin lymphoma (NHL). …”
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Using Mobile Technology for Coordinating Educational Plans and Supporting Decision Making Through Reinforcement Learning in Inclusive Settings
Published 2021“…Good coordination among these stakeholders leads to increased behavioural and academic progress for the learners. …”
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An End-to-End Concatenated CNN Attention Model for the Classification of Lung Cancer With XAI Techniques
Published 2025“…However, manual diagnosis is labor-intensive, requiring the specialized expertise of radiologists, and the increasing number of cancer cases presents challenges in processing large volumes of image data efficiently. …”
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A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis
Published 2021“…Our study shows that an AI-based bibliometric analysis has the potential to rapidly explore a large corpus of academic publications during a public health crisis. …”
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Government debt and stock price crash risk: International Evidence
Published 2024“…We add to the literature on the economic outcomes of government debt and argue that government debt increases crash risk via two channels: (i) hoarding bad news and (ii) tax avoidance. …”
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Optimising the Role of Innovative Technologies in Risk Management Strategies for Extension of Time Disputes Avoidance
Published 2025“…Throughout the doldrums of global tensions and economic instability, the construction sector in the UAE has risen to become a vibrant and fast growing one, fuelled by ambitious projects and large investments. The country's strategy vision, economic resilience, and international investors attraction is driving this expansion that is leading to the development of the large infrastructure in the UAE and increasing its reputation as a global business hub. …”
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Government debt and stock price crash risk: International Evidence
Published 2024“…<p>We add to the literature on the economic outcomes of government debt and argue that government debt increases crash risk via two channels: (i) hoarding bad news and (ii) tax avoidance. …”
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Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE
Published 2020“…The hospitality industry is growing at an increasingly fast pace across the world which results in accumulating a large amount of data, including employee details, property details, purchase details, vendor details, and so on. …”
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