Terahertz Multiple Access: A Deep Reinforcement Learning Controlled Multihop IRS Topology by Muhammad Shehab (16904880)

“…Furthermore, our findings show that as channel correlation increases, DRL’s performance improves, capitalizing on the correlation for enhanced statistical learning</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Open Journal of the Communications Society<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/ojcoms.2024.3357701" target="_blank">https://dx.doi.org/10.1109/ojcoms.2024.3357701</a></p>…”

Review on COVID-19 diagnosis models based on machine learning and deep learning approaches by Abu Zitar, Raed

“…Therefore, many researchers have developed several intelligent techniques, such as deep learning (DL) and machine learning (ML), which can assist the healthcare sector in providing quick and precise COVID-19 diagnosis. …”
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Content-Aware Adaptive Video Streaming Using Actor-Critic Deep Reinforcement Learning by Amer, Hala Nagi

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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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Deep Gabor Neural Network for Automatic Detection of Mine-Like Objects in Sonar Imagery by Hoang Thanh Le (18940666)

“…<p dir="ltr">With the advances in sonar imaging technology, sonar imagery has increasingly been used for oceanographic studies in civilian and military applications. …”

Ghost-NeRV: Efficient Neural Video Representation via Ghost Convolutions by Shanableh, Tamer

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

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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. …”

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. …”

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

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. …”

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 by Kurt Bodewig (19794543)

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. …”

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. …”

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. …”