Deep Learning for the Accurate Prediction of Triggered Drug Delivery by 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 by Badr, Yara

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Advancing OAM-Based FSO Systems: Tackling Pointing Errors for Next-Generation Space and Terrestrial Links by Mohammad Taghi Dabiri (16904658)

“…For short links, we demonstrate the trade-offs between increasing modulation order and the number of OAM modes, highlighting the potential of low-complexity two-stage detectors to mitigate computational overhead while maintaining robust performance. …”

Assessment of tropospheric NO₂ concentrations over greater Doha using Sentinel-5 TROPOspheric monitoring instrument (TROPOMI) satellite data: Temporal analysis, 2018–202... by 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. …”

EndMT Regulation by Small RNAs in Diabetes-Associated Fibrotic Conditions: Potential Link With Oxidative Stress by Roberta Giordo (299595)

“…Then, we discuss the current knowledge on the role of small RNAs in the regulation of EndMT in diabetic retinopathy, nephropathy, cardiomyopathy, and atherosclerosis and highlight potential links between oxidative stress and the dyad small RNAs-EndMT in driving these pathological states. …”

Artificial Intelligence Chatbots: A Survey of Classical versus Deep Artificial Intelligence Chatbots: A Survey of Classical versus Deep Machine Learning Techniques by 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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Deletion of the Candida albicans PIR32 Results in Increased Virulence, Stress Response, and Upregulation of Cell Wall Chitin Deposition by Bahnan, Wael

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Neither Neoadjuvant nor Adjuvant Therapy Increases Survival After Biliary Tract Cancer Resection with Wide Negative Margins by Glazer, Evan

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Use of deep vein thrombosis prophylaxis in hospitalized cancer patients by 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 by 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 by 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 by 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. …”

Hexokinase-2-Linked Glycolytic Overload and Unscheduled Glycolysis—Driver of Insulin Resistance and Development of Vascular Complications of Diabetes by Naila Rabbani (291722)

“…This is called HK2-linked glycolytic overload and unscheduled glycolysis. …”

Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach by 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. …”

How does big data affect organizational financial performance in turbulent markets? The role of customer-linking and selling capabilities by Itani, Omar S.

“…BDA allows organizations to upturn challenges and hindrances caused by market turbulence into opportunities to increase sales revenues. Based on the findings, theoretical contributions and managerial implications are provided.…”
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Deep aging clocks: AI-powered strategies for biological age estimation by Luma Srour (22254409)

“…<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. …”

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

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Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches by 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. …”

Nonclassicality of open circuit QED systems in the deep-strong coupling regime by Tomohiro Shitara (18508206)

“…<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. …”

An Efficient Prediction System for Diabetes Disease Based on Deep Neural Network by Tawfik Beghriche (19563184)

“…The deaths by diabetes are increasing each year, so the need to develop a system that can effectively diagnose diabetes patients becomes inevitable. …”