Greensporone A, a Fungal Secondary Metabolite Suppressed Constitutively Activated AKT via ROS Generation and Induced Apoptosis in Leukemic Cell Lines by Kirti Prabhu (3520064)

“…We studied the anticancer activity of greensporone A in a panel of leukemic cell lines. Greensporone A-mediated inhibition of proliferation is found to be associated with the induction of apoptotic cell death. …”

A lipidomic screen of hyperglycemia-treated HRECs links 12/15-Lipoxygenase to microvascular dysfunction during diabetic retinopathy via NADPH oxidase by Ahmed S. Ibrahim (10049522)

Shear performance of FRP Reinforced Deep Beams Made of Ultra High Performance Concrete (UHPC) by Salman, Omar

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Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects by Majdi Mansouri (16869885)

“…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …”

Quantum Chemistry Insight into the Interactions Between Deep Eutectic Solvents and SO₂ by Mert Atilhan (1272906)

“…<p dir="ltr">A systematic research work on the rational design of task specific Deep Eutectic Solvents (DES) has been carried out via density functional theory (DFT) in order to increase knowledge on the key interaction parameters related to efficient SO₂ capture by DES at a molecular level. …”

Studies of Glyoxalase 1-Linked Multidrug Resistance Reveal Glycolysis-Derived Reactive Metabolite, Methylglyoxal, Is a Common Contributor in Cancer Chemotherapy Targeting the Splic... by Muhanad Alhujaily (11630107)

“…Spliceosomal gene expression correlated positively with Glo1 in human tumor cell lines and tumors. In clinical chemotherapy of breast cancer, increased expression of Glo1 was associated with decreased patient survival, with hazard ratio (HR) = 1.82 (logrank p < 0.001, n = 683) where upper quartile survival of patients was decreased by 64% with high Glo1 expression.…”

Photoactivatable RuII Complex Bearing 2,9‐Diphenyl‐1,10‐phenanthroline: Unusual Photochemistry and Significant Potency on Cisplatin‐Resistant Cell Lines by Mansour, Najwa

“…In conclusion, the Ru‐centered complex 1 could represent a potential photoactivatable chemotherapeutic drug that increases selectivity to tumors and offers alternative treatment in the light of increasing cisplatin resistance.…”
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Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning by Mohamed Elhadary (16329082)

Face Segmentation: A Journey From Classical to Deep Learning Paradigm, Approaches, Trends, and Directions by Khalil Khan (9333883)

“…Over the last two decades, methods for face segmentation have received increasing attention due to their diverse applications in several human-face image analysis tasks. …”

Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection by Faizul Rakib Sayem (21399890)

“…<p dir="ltr">Given the severity of waste pollution as a major environmental concern, intelligent and sustainable waste management is becoming increasingly crucial in both developed and developing countries. …”

Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers Through Holistic Analysis by Hassan Ali (3348749)

“…<p>Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …”

Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis by Hassan, Ali

“…Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …”
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Advanced Technology in Agriculture Industry by Implementing Image Annotation Technique and Deep Learning Approach: A Review by Normaisharah Mamat (19517623)

“…For complicated and ambiguous situations, deep learning technology provides accurate predictions. …”

DiaNet v2 deep learning based method for diabetes diagnosis using retinal images by Hamada R. H. Al-Absi (16726299)

“…<p dir="ltr">Diabetes mellitus (DM) is a prevalent chronic metabolic disorder linked to increased morbidity and mortality. With a significant portion of cases remaining undiagnosed, particularly in the Middle East North Africa (MENA) region, more accurate and accessible diagnostic methods are essential. …”

Transfer Learning and Sentiment Analysis of Lebanese Dialect Data using a Multilingual Deep Learning Approach by Chehade, Mira

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Hand-Crafted Features With A Simple Deep Learning Architecture For Sensor-Based Human Activity Recognition by Albadawi, Yaman

“…With the growth in the wearable device market, wearable sensor-based human activity recognition systems have been gaining increasing interest in research because of their rising demands in many areas. …”
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From time-series to 2D images for building occupancy prediction using deep transfer learning by Aya Nabil Sayed (17317006)

“…Moreover, machine learning (ML) and deep learning (DL) techniques are utilized to classify occupancy patterns. …”

The Impact of Arabic Part of Speech Tagging on Sentiment Analysis: A New Corpus and Deep Learning Approach by Munem Nerabie, Abdul

“…Furthermore, our proposed corpus was used to train a custom Long Short-Term Memory deep learning model and showed excellent performance in terms of sentiment classification accuracy and F1-score. …”
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Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring by Zina Chkirbene (16869987)

“…Addressing these challenges, this paper introduces the Deep Reinforcement Learning for Live Video Transmission (DRL-LVT) framework. …”

Deep learning-based cross-device standardization of surface-enhanced Raman spectroscopy for enhanced bacterial recognition by Sakib Mahmud (22652357)

“…Quantitative results show that SERS-D2DNet reduced mean absolute error to 0.01 and increased R² to over 98 % across devices, while SuperRaman achieved up to 100 % classification accuracy post-transformation. …”