Tethering Natural Capital and Cultural Capital for a More Sustainable Post-COVID-19 World by Talmage, Craig A.

“…Large forces such as climate change, cultural ethnocentrism and racism, and increasing wealth inequality continue to ripple through communities harming community well-being. …”
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Design and Sensitivity Analysis of Dynamic Wireless Chargers for Efficient Energy Transfer by S. Abbas Moosavi (16864230)

“…However, they require deep analysis to be an appropriate choice for Dynamic Wireless Charging (DWC) systems. …”

Assessing the Intrinsic Activity of Pt‐Group Electrocatalysts for Carbon Monoxide Oxidation: Best Practices and Benchmarking Parameters by Kamel Eid (1542562)

“…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.…”

Prediction of EV Charging Behavior Using Machine Learning by Shahriar, Sakib

“…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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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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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%. …”

Global, regional, and national burden of hepatitis B, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019 by Brittney S Sheena (9715568)

“…We used mortality-to-incidence ratios modelled with spatiotemporal Gaussian process regression to estimate the incidence of liver cancer. We used the Cause of Death Ensemble modelling (CODEm) model, a tool that selects models and covariates on the basis of out-of-sample performance, to estimate mortality due to cirrhosis, liver cancer, and acute hepatitis B.…”

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. …”