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281
Design and Sensitivity Analysis of Dynamic Wireless Chargers for Efficient Energy Transfer
Published 2020“…However, they require deep analysis to be an appropriate choice for Dynamic Wireless Charging (DWC) systems. …”
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282
Assessing the Intrinsic Activity of Pt‐Group Electrocatalysts for Carbon Monoxide Oxidation: Best Practices and Benchmarking Parameters
Published 2024“…Various experimental results from our group and others besides in-situ analysis were provided to support our deep discussion. Finally, we provide a brief synopsis of the relevant milestones of the up-to-date challenges and perspectives.…”
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283
Prediction of EV Charging Behavior Using Machine Learning
Published 2021“…As a key pillar of smart transportation in smart city applications, electric vehicles (EVs) are becoming increasingly popular for their contribution in reducing greenhouse gas emissions. …”
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284
Optimized frequency-based foundation design for wind turbine towers utilizing soil-structure interaction
Published 2013“…The towers are supported by two different types of foundations: large mat or deep piles foundations. Initially, a reinforced concrete (RC) mat foundation was proposed. …”
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285
Microalgae potential to protect from heavy metals-induced carcinogenicity
Published 2024“…This review discusses the mechanisms implicated in heavy metal carcinogenicity. In addition, a deep understanding of microalgae's mitigating roles and strategies against heavy metal carcinogenicity are reviewed.…”
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286
Fluid-Structure-Acoustic coupling analysis for external laminar and turbulent fluid flows
Published 2023“…The results indicate that the transmission loss is 27% more at the elastic plate’s highest position. By decreasing the length of the elastic plate by 50%, the mean transmission loss is reduced by 9%. …”
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287
Carotid artery revascularization through a radiated field
Published 2003“…All patients had received previous radiation therapy within a mean interval of 10 years (range, 1-26 years), with average radiation dose of 62 Gy (range, 50-70 Gy). …”
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288
Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security
Published 2020“…<p dir="ltr">With the advances in machine learning (ML) and deep learning (DL) techniques, and the potency of cloud computing in offering services efficiently and cost-effectively, Machine Learning as a Service (MLaaS) cloud platforms have become popular. …”
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289
Optimization of the Consolidation Parameters for Enhanced Thermoelectric Properties of Gr-Bi<sub>2</sub>Te<sub>2.55</sub>Se<sub>0.45</sub> Nanocomposites
Published 2024“…<p dir="ltr">Hot pressing represents a promising consolidation technique for ball-milled bismuth telluride alloys, yet deep investigations are needed to understand its effect on the thermoelectric properties. …”
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290
RETRACTED_Impact of Activation, Optimization, and Regularization Methods on the Facial Expression Model Using CNN
Published 2023“…Recently published studies have found that deep learning is becoming increasingly popular in the field of image categorization. …”
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291
Stress Management Using Physiological Signals and Audio Stimulation
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doctoralThesis -
292
Turkronicles: diachronic resources for the fast evolving Turkish language
Published 2025“…Despite the substantial vocabulary changes, we demonstrate that it is possible to identify old Turkish words that have the same meanings with newly coined ones using word embeddings. …”
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293
Quantitative Compressibility Effects in Thermal Elastohydrodynamic Circular Contacts
Published 2015“…The results reconfirm the well-known observations that minimum film thickness is very little affected by lubricant compressibility while central film thickness decreases linearly with the increase in volume compression of the lubricant. …”
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294
Fluid-Structure-Acoustic coupling analysis for external laminar and turbulent fluid flows
Published 2023“…The results indicate that the transmission loss is 27% more at the elastic plate’s highest position. By decreasing the length of the elastic plate by 50%, the mean transmission loss is reduced by 9%. …”
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295
International Mindedness In A Pluralistic Society With No Social Cohesion
Published 2023“…Due to the globalized nature of today’s society, international mindedness has become increasingly important in today’s world. Schools all over the globe strive to incorporate international mindedness into their curricula as it helps to create a more inclusive and tolerant learning environment for students of all backgrounds. …”
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masterThesis -
296
FiLM-SimVP: Scalable Uncertainty Quantification in Spatiotemporal Forecasting
Published 2025“…Quantile regression has been proposed as a computationally efficient and assumption-free approach for uncertainty quantification by generating prediction intervals. Yet, existing deep learning based quantile regression methods struggle to scale efficiently with large datasets. …”
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297
A Comparative Study of Contemporary Learning Paradigms in Bug Report Priority Detection
Published 2024“…<p dir="ltr">The increasing complexity of software development demands efficient automated bug report priority classification, and recent advancements in deep learning hold promise. …”
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298
Tamp-X: Attacking explainable natural language classifiers through tampered activations
Published 2022“…<p>While the technique of Deep Neural Networks (DNNs) has been instrumental in achieving state-of-the-art results for various Natural Language Processing (NLP) tasks, recent works have shown that the decisions made by DNNs cannot always be trusted. …”
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299
Cadmium Intake, Dietary Patterns and Hyperuricemia Among Adults in China
Published 2020“…No association between the modern dietary pattern (high intake of fruit, soymilk, egg, milk and deep fried products) and HU was found. In conclusion, traditional southern dietary pattern and cadmium intake are positively associated with hyperuricemia among Chinese adults.…”
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300
Bridging Innovation and Security: Advancing Cyber-Threat Detection in Sustainable Smart Infrastructure
Published 2025“…In response to these challenges, this paper proposes a novel approach utilizing Deep Learning (DL) models for multi-class threat detection in SI environments. …”