Deep Learning for Arabic Error Detection and Correction حسب ALKHATIB, MANAR

"…We introduce an approach that investigates employing deep neural network technology for error detection in Arabic text. …"
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Knowledge-based Deep Learning for Modeling Chaotic Systems حسب Elabid, Zakaria

"…Deep Learning has received increased attention due to its unbeatable success in many fields, such as computer vision, natural language processing, recommendation systems, and most recently in simulating multiphysics problems and predicting nonlinear dynamical systems. …"
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Deep Learning for the Accurate Prediction of Triggered Drug Delivery حسب Husseini, Ghaleb

"…The deep learning-based predictions significantly outperform linear predictions, proving the utility of advanced computational methods in drug delivery. …"
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Detecting Mental Stress using EEG and Deep Learning حسب Badr, Yara

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Assessment of tropospheric NO₂ concentrations over greater Doha using Sentinel-5 TROPOspheric monitoring instrument (TROPOMI) satellite data: Temporal analysis, 2018–202... حسب Yasir E. Mohieldeen (22155901)

"…<p dir="ltr">This study presents a temporal evaluation of the tropospheric NO₂ column densities over Greater Doha using TROPOMI satellite data from May 2018 to December 2023, and an assessment of the impact of the preparations and hosting of the FIFA Football World Cup Qatar 2022, on NO₂ levels before, during and after the tournament over Greater Doha. …"

Hearing loss prevalence and years lived with disability, 1990–2019: findings from the Global Burden of Disease Study 2019 حسب Lydia M Haile (9715382)

"…The Healthcare Access and Quality (HAQ) Index explained 65·8% of the variation in national age-standardised rates of years lived with disability, because countries with a low HAQ Index had higher rates of years lived with disability. …"

Health-related quality of life and its predictors among adults living with HIV/AIDS and receiving antiretroviral therapy in Pakistan حسب Ali Ahmed (2567584)

"…ART has significantly increased the life expectancy of people living with HIV/AIDS (PLWHA). …"

Addressing energy and mobility poverty in the Middle East: lived experience, spatial injustice, and temporary migrants in the United Arab Emirates حسب Furszyfer Del Rio, Dylan

"…In exploring the subject of poverty and vulnerability, we show how low-income and living conditions are intertwined with energy and mobility poverty and, hence, the need for holistic solutions. …"
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Optimizing pre-copy live virtual machine migration in cloud computing using machine learning-based prediction model حسب Raseena M. Haris (17773470)

"…If there are large numbers of remaining memory pages after a predefined iteration of page transfer, the stop-and-copy phase is initiated, which significantly increases downtime and negatively impacts service availability. …"

Differences in mental health status between individuals living with diabetes, and pre-diabetes in Qatar: A cross-sectional study حسب Montaha Mahmoud (18067649)

"…</p><h3> Conclusion </h3><p dir="ltr">The results of our study found patients living with pre-diabetes, and females with T2DM are vulnerable populations who should be screened for mental health disorders. …"

Artificial Intelligence Chatbots: A Survey of Classical versus Deep Artificial Intelligence Chatbots: A Survey of Classical versus Deep Machine Learning Techniques حسب A. Alazzam, Bayan

"…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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Use of deep vein thrombosis prophylaxis in hospitalized cancer patients حسب Awar, Zeina

"…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 حسب Uzma Nawaz (21980708)

"…The increase in imagery data has in turn created a demand for automated detection and classification using deep neural network-based techniques. …"

Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA حسب Muhammad Shehab (16904880)

"…As the imperfection increases by ten times, the rate decreases by more than 10%.…"

Neuron-level Interpretation of Deep NLP Models: A Survey حسب Hassan Sajjad (5297441)

"…<p dir="ltr">The proliferation of Deep Neural Networks in various domains has seen an increased need for interpretability of these models. …"

A BRET-based Mpro biosensor containing a nanobody and tandem cleavage sites shows an increased cleavage rate حسب Geethakumari, Anupriya M

"…Gaussian accelerated molecular dynamics (GaMD) simulations of the predicted alpha-helical synthetic Mpro cleavage sequences revealed a dynamic nature of the cleavage sequences, which is critical for their efficient cleavage, and a relatively short end-to-end distances, which is required for high BRET. Live cell assays revealed a cleavage sequence length-dependent resonance energy transfer, except for the 12× -syn cleavage site, and an increased rate of cleavage and a decreased pharmacological inhibitor efficacy for the Mpro biosensor containing 2× cleavage sequences. …"
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Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach حسب Abdul Basit Mughal (22929001)

"…<p dir="ltr">With the rapid amount of deforestation around the world, wild animals lose their habitat and move closer to human settlements, leading to increased human-wildlife conflict and the loss of important human lives, livestock, and rare wild animal species. …"

Deep aging clocks: AI-powered strategies for biological age estimation حسب Luma Srour (22254409)

"…Recent advances in artificial intelligence (AI), utilizing deep learning techniques, have significantly enhanced the prediction of biological aging, and this would help improve aging clocks and accelerate efforts to reach longer and healthier lives.…"

Recognizing Plastic Threats in Baggage X-Rays Using Deep Networks حسب Alawar, Mohammad Suhail Abdulwahid Abdulrahman

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Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches حسب Natasha Akram (20749538)

"…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. …"