A decoding algorithm for I-Q space-time coded systems in fadingenvironments by Zummo, S.A.

“…This paper presents the decoding of the I-Q space-time (ST) codes. The decoding problem of I-Q ST codes is formulated. …”
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The Threat to Cultural Heritage in Times of Conflict and Its Dynamic Relationship with Gulf Society by Amr Al-Azm (15445301)

Neutrophil‐to‐Lymphocyte Ratio Predicts Dialysis Timing & Prognosis in Critically Ill Patients by Abdulqadir J. Nashwan (11659453)

“…Its integration into clinical practice could enhance patient care and treatment timing, and further studies should validate its clinical utility.…”

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. …”

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)

Real-time AI-based inference of people gender and age in highly crowded environments by Jasseur Abidi (17870426)

“…Automatic gender identification is increasingly being used in areas such as security, marketing, and social robots. …”

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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Deep learning-based cross-device standardization of surface-enhanced Raman spectroscopy for enhanced bacterial recognition by 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. …”

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. …”

Optimising the Role of Innovative Technologies in Risk Management Strategies for Extension of Time Disputes Avoidance by KREIDLI, ISMAIL KHALIL

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An empirical evaluation of the technology cycle time indicator as ameasure of the pace of technological progress in superconductortechnology by Kayal, A.A.

“…This study found the trend in TCT changed abruptly from gradually increasing (slowing in cycle time) to steadily decreasing (speeding up in cycle time) following the discovery of high-temperature superconductors. …”
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A Stackelberg Game Inspired Model of Real-Time Economic Dispatch with Demand Response by Shakrina, Youssef

“…Additionally, environmental concerns may arise from several physical limitations in the network that would increase gas emission besides adding extra generation costs. …”
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Percutaneous coronary intervention can be safely performed with left ventricular thrombus without increasing stroke risk: A 5-year retrospective review using real-world data by Mohanad Shehadeh (17860691)

“…Similarly, in-hospital mortality, all-cause mortality, and stroke at 12 months did not differ between the study groups.</p><h3>Conclusion</h3><p dir="ltr">Performing CAG +/− PCI among patients with LVT was not associated with an increased risk of stroke during admission or within 12 months in comparison to patients who did not undergo CAG +/− PCI, which may reassure cardiologists to perform CAG +/− PCI among patients with LVT safely.…”

Real-Time Implementation of GPS Aided Low Cost Strapdown Inertial Navigation System by Sahawneh, Laith Rasmi

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

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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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DiaNet v2 deep learning based method for diabetes diagnosis using retinal images by 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. …”