Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn... by Mohamed, AlShuweihi

“…Many people can find difficulty accessing diagnostic healthcare services for many reasons including, but not limited to economical and regional factors. ML based informal diagnostic and decision support systems can provide a first line of detection to alert patients about potential disease risk. …”
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A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study by Masurkar, Faeez

“…Based on the numerous experiments, an optimum distance of inspection is estimated which yields damage detection and localization with high accuracy thereby solving all the aforementioned issues. …”
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Automatic detection of data manipulation in power systems by Al Halabi, Leen

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Deep Learning for Arabic Error Detection and Correction by ALKHATIB, MANAR

“…We introduce an approach that investigates employing deep neural network technology for error detection in Arabic text. We have developed a systematic framework for spelling and grammar error detection, as well as correction at the word level, based on a bidirectional long short-term memory mechanism and word embedding, in which a polynomial network classifier is at the top of the sys tem. …”
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Creating and detecting fake reviews of online products by Joni Salminen (7434770)

“…In this research, we address the creation and detection of fake reviews. First, we experiment with two language models, ULMFiT and GPT-2, to generate fake product reviews based on an Amazon e-commerce dataset. …”

Early detection of struvite formation in wastewater treatment plants by Fattah, Kazi Parvez

“…Among the many possible phosphate-based precipitated, struvite is the most common. …”
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Graphical Insight: Revolutionizing Seizure Detection with EEG Representation by Muhammad Awais (263096)

“…Our experimental results reveal that both models significantly improve seizure detection accuracy, surpassing previous methods. …”

Detecting Mental Stress using EEG and Deep Learning by Badr, Yara

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Cyberbullying Detection in Arabic Text using Deep Learning by ALBAYARI, REEM RAMADAN SA’ID

“…In the new era of digital communications, cyberbullying is a significant concern for society. Cyberbullying involves the use of communication technology and data, including messages, photographs, and videos, to undertake aggressive negative actions to harm others. …”
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Food fraud detection using explainable artificial intelligence by Okan Buyuktepe (17991493)

BTM: Boundary Trimming Module for Temporal Action Detection by Maher Hamdi (6207746)

“…This paper addresses this problem with a novel Boundary Trimming Module (BTM), a post-processing method that adjusts the temporal boundaries of the detected actions from existing TAD solutions. Specifically, BTM operates based on the classification of frames in the input video, aiming to detect the action more accurately by adjusting the surrounding frames of the start and end frames of the original detection results. …”

Protecting Smart Homes: A study on AI approaches to Detect Malwares and Developing a Two Factor Authentication System Based on SRAM PUF For Smart Home Users in UAE by ALSHAMSI, OMAR KHALIFA ALI ALREZI

“…Due to the rapid adoption of smart technologies in smart homes, the Open Web Application Security Project has identified weak or easily guessable passwords as a significant vulnerability in IoT devices, based on real-world incidents. …”
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High-sensitive detection and quantitation of thyroid-stimulating hormone (TSH) from capillary/fingerstick and venepuncture whole-blood using fluorescence-based rapid lateral flow i... by Samar, Shurbaji

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High-sensitive detection and quantitation of thyroid-stimulating hormone (TSH) from capillary/fingerstick and venepuncture whole-blood using fluorescence-based rapid lateral flow i... by Samar Shurbaji (9938696)

Explainable phishing website detection for secure and sustainable cyber infrastructure by Tanzila Kehkashan (20748842)

“…To overcome this issue, this research applies feature selection techniques, specifically shapley additive explanations, with each model based primarily on the URL to improve the detection process. …”

Network Packet Transformation Approaches for Intrusion Detection Systems: A Survey by Somaya Eltanbouly (22565864)

“…In a survey of recent popular papers, we identified four main categories of data representations: numerical, pixel-based, sequence-based, and graph-based approaches. …”

Substrate Dependent Analysis of Printed Sensors for Detection of Volatile Organic Compounds by Saleem Khan (3556286)

“…The comparative studies show a strong dependence of the VOCs detection on the type of substrates. Pros and cons of all the substrates, based on the processability, wearability, sensitivity and response times etc. are evaluated. …”

Classification and segmentation of kidney MRI images for chronic kidney disease detection by Md. Sakib Bin Islam (20494559)

“…<p>Chronic Kidney Disease (CKD) is a common ailment with significant public health implications, underscoring the critical importance of early detection and diagnosis for effective management. …”

Development of a Smart System for Leak Detection in Water Distribution Networks by Elshazly, Doha Hesham

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Cyberbullying Detection and Abuser Profile Identification on Social Media for Roman Urdu by Ayesha Atif (22155133)

“…Manual detection of abnormal and bullying behavior within the realm of social media is inherently not scalable. …”