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Influence of temperature on tire-pavement noise in hot climates: Qatar case
Published 2021“…There is an apparent trend of decreasing temperature coefficient with increasing mean texture depth of dense graded asphalt pavements. …”
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Artificial Intelligence Chatbots: A Survey of Classical versus Deep Artificial Intelligence Chatbots: A Survey of Classical versus Deep Machine Learning Techniques
Published 2023“…In addition to classical ML techniques, Deep Learning (DL) has attracted many researchers to develop chatbots using more sophisticated and accurate techniques. …”
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Neither Neoadjuvant nor Adjuvant Therapy Increases Survival After Biliary Tract Cancer Resection with Wide Negative Margins
Published 2012“…Immediate resection increased median survival from 42.3 to 53.5 months (p = 0.01). …”
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Use of deep vein thrombosis prophylaxis in hospitalized cancer patients
Published 2009“…Several options are available to increase physicians' awareness of the problem.…”
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A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass
Published 2025“…The increase in imagery data has in turn created a demand for automated detection and classification using deep neural network-based techniques. …”
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Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA
Published 2022“…As the imperfection increases by ten times, the rate decreases by more than 10%.…”
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Neuron-level Interpretation of Deep NLP Models: A Survey
Published 2022“…<p dir="ltr">The proliferation of Deep Neural Networks in various domains has seen an increased need for interpretability of these models. …”
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Daucus carota pentane-based fractions arrest the cell cycle and increase apoptosis in MDA-MB-231 breast cancer cells
Published 2014“…The increase in apoptosis in response to treatment was also apparent in the increase in BAX and the decrease in Bcl-2 levels as well as the proteolytic cleavage of both caspase-3 and PARP as revealed by Western blot. …”
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Increased Frequency of Severe Hypoglycemia with the Modified-Release Gliclazide Compared to Glimepiride in Diabetic Older Adults; Propensity Score-Adjusted Analysis
Published 2022“…The low doses of both treatments did not show any SHEA cases, while the results with higher doses showed the same pattern of increased risk with gliclazide MR as the principle analysis. …”
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Soluble Neuropilin-1 Response to Hypoglycemia in Type 2 Diabetes: Increased Risk or Protection in SARS-CoV-2 Infection?
Published 2021“…Baseline sNRP1, VEGF and ADAM9 did not differ between T2D and controls and remained unchanged in response to hypoglycaemia. …”
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Deep aging clocks: AI-powered strategies for biological age estimation
Published 2025“…<p>Several strategies have emerged lately in response to the rapid increase in the aging population to enhance health and life span and manage aging challenges. …”
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Recognizing Plastic Threats in Baggage X-Rays Using Deep Networks
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Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches
Published 2024“…In recent studies, traditional machine learning and deep learning algorithms have been implemented to detect fake job postings; this research aims to use two transformer-based deep learning models, i.e., Bidirectional Encoder Representations from Transformers (BERT) and Robustly Optimized BERT-Pretraining Approach (RoBERTa) to detect fake job postings precisely. …”
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Nonclassicality of open circuit QED systems in the deep-strong coupling regime
Published 2021“…<p dir="ltr">We investigate theoretically how the ground state of a qubit–resonator (Q–R) system in the deep-strong coupling (DSC) regime is affected by the coupling to an environment. …”
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An Efficient Prediction System for Diabetes Disease Based on Deep Neural Network
Published 2021“…The deaths by diabetes are increasing each year, so the need to develop a system that can effectively diagnose diabetes patients becomes inevitable. …”
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Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data
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Latest Developments in Adapting Deep Learning for Assessing TAVR Procedures and Outcomes
Published 2023“…Recent advancements in the deep learning (DL) domain can offer a real-time surrogate that can render hemodynamic parameters in a few seconds, thus guiding clinicians to select the optimal treatment option. …”