Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects حسب 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 حسب 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. …"

Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning حسب Mohamed Elhadary (16329082)

Face Segmentation: A Journey From Classical to Deep Learning Paradigm, Approaches, Trends, and Directions حسب 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 حسب 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. …"

Challenges for road safety in fast developing societies: We need a vision zero to permanently reduce accidents and save life and health by facing fast increasing traffic حسب Kurt Bodewig (19794543)

Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers Through Holistic Analysis حسب 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 حسب 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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Towards electric digital twin grid: Technology and framework review حسب Md. Mhamud Hussen Sifat (17337913)

"…Electric Digital Twin grid can perform online analysis of the grid in real-time and integrates all the past and present data and express the current grid status to the producers and consumers and also predicts the future grid status. …"

Advanced Technology in Agriculture Industry by Implementing Image Annotation Technique and Deep Learning Approach: A Review حسب Normaisharah Mamat (19517623)

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

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

"…The combined framework requires only 6.6 million parameters, a compact 9 MB footprint, and a 3.27 ms inference time, making it well-suited for portable deployment. …"

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

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The Impact of Arabic Part of Speech Tagging on Sentiment Analysis: A New Corpus and Deep Learning Approach حسب 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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DiaNet v2 deep learning based method for diabetes diagnosis using retinal images حسب Hamada R. H. Al-Absi (16726299)

"…This study explores an alternative approach involving retinal images, building upon the DiaNet model, the first deep learning model for diabetes detection based solely on retinal images. …"

Enhancing the properties and performance of polysulfone ultrafiltration membranes using citric acid based deep eutectic solvent additives حسب Yousef Elhamarnah (17869382)

"…<p>This study focuses on improving the performance of polysulfone (PSF) membranes through modification with a Deep Eutectic Solvent (DES) composed of Citric Acid (CA) and Choline Chloride (ChCl). …"

Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection حسب Mamun Or Rashid (21976373)

"…Specifically, the binary classification yielded a 96.58% accuracy with vision-based data, which increased to 97.31% when steering, breathing rate, and heart rate data were included. …"

Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation حسب Mostafa M., Shibl

"…Deep RL is utilized to model the EV chargers and the EV users. …"
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Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation حسب Mostafa M. Shibl (17821382)

"…Deep RL is utilized to model the EV chargers and the EV users. …"

The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000) حسب Jabre, Mazen Gerges

"…The mean levodopa dose was reduced by 90% (p < 0.01), while the mean dopamine agonist dose was increased by 15% from preoperative level. Reported adverse events were mild and transient. …"
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Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting حسب Abdelkader Baggag (16864140)

"…., its generation, propagation and mitigation, in order to increase operational efficiency and improve livability within smart cities. …"