Optimized frequency-based foundation design for wind turbine towers utilizing soil-structure interaction by AlHamaydeh, Mohammad

“…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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Microalgae potential to protect from heavy metals-induced carcinogenicity by Hadjira, Hamai-Amara

“…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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Fluid-Structure-Acoustic coupling analysis for external laminar and turbulent fluid flows by Tohid, Adibi

“…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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Positional and dimensional temporomandibular joint osseous changes in patients treated with the forsus fatigue resistant device: a non-randomized clinical trial by Ramy Abdul-Rahman Ishaq (22928974)

“…After alignment and leveling with fixed orthodontic appliances using 0.019 × 0.025-inch stainless-steel archwires, the FFRD was fitted. The overjet was corrected to achieve an edge-to-edge incisor relationship. …”

Carotid artery revascularization through a radiated field by Lesèche, Guy

“…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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Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security by Adnan Qayyum (16875936)

“…<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. …”

Optimization of the Consolidation Parameters for Enhanced Thermoelectric Properties of Gr-Bi₂Te_2.55Se_0.45 Nanocomposites by Farah El-Makaty (19198006)

“…<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. …”

RETRACTED_Impact of Activation, Optimization, and Regularization Methods on the Facial Expression Model Using CNN by Irfan Ali Kandhro (17541876)

“…Recently published studies have found that deep learning is becoming increasingly popular in the field of image categorization. …”

Stress Management Using Physiological Signals and Audio Stimulation by Katmah, Rateb Majd

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Turkronicles: diachronic resources for the fast evolving Turkish language by Togay Yazar (22828175)

“…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. …”

Quantitative Compressibility Effects in Thermal Elastohydrodynamic Circular Contacts by Habchi, W.

“…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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Fluid-Structure-Acoustic coupling analysis for external laminar and turbulent fluid flows by Tohid Adibi (17871551)

“…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%. …”

International Mindedness In A Pluralistic Society With No Social Cohesion by Bilal, Joanna

“…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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FiLM-SimVP: Scalable Uncertainty Quantification in Spatiotemporal Forecasting by Shehel Yoosuf (23073535)

“…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. …”

A Comparative Study of Contemporary Learning Paradigms in Bug Report Priority Detection by Eyüp Halit Yilmaz (21400700)

“…<p dir="ltr">The increasing complexity of software development demands efficient automated bug report priority classification, and recent advancements in deep learning hold promise. …”

Tamp-X: Attacking explainable natural language classifiers through tampered activations by Hassan Ali (3348749)

“…<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. …”

Cadmium Intake, Dietary Patterns and Hyperuricemia Among Adults in China by Zumin Shi (287671)

“…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.…”

Bridging Innovation and Security: Advancing Cyber-Threat Detection in Sustainable Smart Infrastructure by Duaa Shoukat (20961200)

“…In response to these challenges, this paper proposes a novel approach utilizing Deep Learning (DL) models for multi-class threat detection in SI environments. …”

Microalgae potential to protect from heavy metals-induced carcinogenicity by Hadjira Hamai-Amara (17910608)

“…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.…”

Learning Based Spectrum Sensing in OFDM Cognitive Radios by Muzaffar, Muhammad Umair

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