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. …”

Evaluation of the durability and shielding properties of high-strength concrete incorporating locally available materials and carbon additives by Othman, Obaida

“…However, the addition of carbon materials along with steel fibers (FCLDUNE) decreased these strengths by 19.6 and 15%, and increased shrinkage and creep by 18 and 9%, respectively. …”
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Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach by Abdul Basit Mughal (22929001)

“…The parameters of the fine-tuned YOLOv11 decreased by 30% relative to the previous version, resulting in a very small model size of 5.5 MB and reduced processing time. …”

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. …”

Evaluating Citizens’ Sentiments in Smart Cities: A Deep Learning Approach by Elabora, Abdallah

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Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data by Arshad, Muhammad Arbab

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A genetically encoded BRET-based SARS-CoV-2 Mpro protease activity sensor by Anupriya M. Geethakumari (17052375)

“…Further, in vitro assays with the BRET-based Mpro sensors revealed a molecular crowding-mediated increase in the rate of M^pro activity and a decrease in the inhibitory potential of GC376. The sensors developed here will find direct utility in studies related to drug discovery targeting the SARS-CoV-2 M^pro and functional genomics application to determine the effect of sequence variation in M^pro.…”

Latest Developments in Adapting Deep Learning for Assessing TAVR Procedures and Outcomes by Anas M. Tahir (16870077)

“…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. …”

Host Genetic Variants Potentially Associated With SARS-CoV-2: A Multi-Population Analysis by Maria K. Smatti (4675852)

“…Remarkably, Africans seem to carry extremely lower frequencies of SARS-CoV-1 susceptibility alleles, reaching to 32-fold decrease compared to other populations.…”

Changing life expectancy in European countries 1990–2021: a subanalysis of causes and risk factors from the Global Burden of Disease Study 2021 by Nicholas, Steel

“…In 2019–21, there was an overall decrease in mean annual life expectancy across all countries (overall mean –0·18 years [95% UI –0·22 to –0·13]), with all countries having an absolute fall in life expectancy except for Ireland, Iceland, Sweden, Norway, and Denmark, which showed marginal improvement in life expectancy, and Belgium, which showed no change in life expectancy. …”
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Genetic Variation in CCL5 Signaling Genes and Triple Negative Breast Cancer: Susceptibility and Prognosis Implications by Jingxuan Shan (4711089)

“…We found a highly significant association between the <b><i>CCND1</i></b><b> </b><b>rs614367-TT</b> genotype (OR = 5.14; <i>P</i> = 0.004) and TNBC risk, and identified a significant association between the <b>rs614367-T</b> allele and decreased PFS in TNBC. …”

Correlation of MPTP neurotoxicity in vivo with oxidation of MPTP by the brain and blood-brain barrier in vitro in five rat strains by Riachi, Naji J.

“…We studied 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) neurotoxicity in 5 strains of rats by assessing mortality and brain monoamine changes after MPTP injections into the internal carotid artery. …”
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A Novel Deep Learning Technique for Detecting Emotional Impact in Online Education by Abu Zitar, Raed

“…Transfer learning for a pre-trained deep neural network is used as well to increase the accuracy of the emotion classification stage. …”
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Pavement Crack Assessment Using Satellite Remote Sensing and Deep Learning Model by Al Adab, Maryam

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Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning by MEZAHEM, FATEMA HAMAD

“…By utilizing the power of multiple word representations and deep learning approaches, this work seeks to enhance categorization performance. …”
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Hybrid deep learning based threat intelligence framework for Industrial IoT systems by Jahanzaib Malik (23718816)

“…The proposed approach was also compared against several contemporary deep learning-based architectures and existing benchmark algorithms. …”

Just-in-time defect prediction for mobile applications: using shallow or deep learning? by Raymon van Dinter (10521952)

“…Traditional machine learning-based defect prediction models have been built since the early 2000s, and recently, deep learning-based models have been designed and implemented. …”