IoT empowered smart cybersecurity framework for intrusion detection in internet of drones by Syeda Nazia Ashraf (17541222)

“…In recent years, there has been a significant increase in the utilization of IoT-enabled drone data management technology. …”

Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning by ALFALASI, FARIS Jr

“…The widespread engagement with social media platforms in recent years has made cyberbullying a significant concern. Individuals may have catastrophic side effects from that as well, including despair, anxiety, and even suicide. …”
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OutPyR: Bayesian inference for RNA-Seq outlier detection by Edin Salkovic (16891479)

A New Dataset for Forged Smartphone Videos Detection: Description and Analysis by Younes Akbari (16303286)

Prevalence of newly detected diabetes in pregnancy in Qatar, using universal screening by Mohammed Bashir (5593550)

“…This study aims to define the prevalence and outcomes of diabetes first detected in pregnancy based on 75-gram oral glucose tolerance test (OGTT)using the recent WHO/IADPSG guidelines in a high-risk population.…”

Artificial Intelligence Frameworks for Sentiment Variations’ Reasoning and Emerging Topic Detection by ALATTAR, FUAD ABDELWAHAB ABDELQADER

“…To develop our approach, we first examined existing Sentiment Reason Mining methods to identify their limitations, then we introduced our Filtered Latent Dirichlet Allocation (Filtered-LDA) Model that overcomes major deficiencies of base methods. This model can be used for multiple applications, including detection of new research trends from large sets of scientific papers, discovery of hot topics on social media, comparison of customer reviews for two products to identify their strong/weak aspects, and our focus topic of interpreting public sentiment variations. …”
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A Novel Deep Learning Technique for Detecting Emotional Impact in Online Education by Abu Zitar, Raed

“…Several studies have been conducted on emotional intelligence, and only a few have been adopted in education. Detecting student emotions can significantly increase productivity and improve the education process. …”
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Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization by Rusab Sarmun (17632269)

“…Accurate diagnosis, appropriate care, and prompt response can prevent amputations and fatalities through early and reliable DFU detection from image analysis. We propose a comprehensive deep learning-based system for detecting DFUs from patients’ feet images by reliably localizing ulcer points. …”

GearFaultNet: Novel Network for Automatic and Early Detection of Gearbox Faults by Proma Dutta (19459567)

“…This research presents GearFaultNet, a novel, lightweight 1D Convolutional Neural Network (CNN)-based network, designed to detect gearbox faults. …”

Novel metal–organic framework biosensing platform for detection of COVID-19 RNA by Elgazar, Aya

“…This research aims to develop a Zeolitic Imidazolate Framework-8 (ZIF-8) based fluorescent biosensor for facile and rapid COVID-19 RNA sequence detection. …”
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Deep and transfer learning for building occupancy detection: A review and comparative analysis by Aya Nabil Sayed (17317006)

“…For occupancy detection, several directions were provided to avoid or reduce privacy problems by employing forthcoming technologies such as edge devices, Federated learning, and Blockchain-based IoT.…”

A FeedForward–Convolutional Neural Network to Detect Low-Rate DoS in IoT by Harun Surej Ilango (17545728)

“…The Canadian Institute of Cybersecurity Denial of Service 2017 (CIC DoS 2017) dataset is used for the study. An iterative wrapper-based feature selection using Support Vector Machine (SVM) is used to derive the significant features required for detection. …”

Anomaly Detection on Smart Grids With Optimized Convolutional Long Short-Term Memory Model by Ahmad N. Alkuwari (22392226)

“…The evaluated machine learning models include traditional shallow detectors, deep learning-based detectors, and hybrid models that employ both horizontal and vertical detection strategies. …”

Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression by Alaa Abd-Alrazaq (17430900)

“…<p dir="ltr">Given the limitations of traditional approaches, wearable artificial intelligence (AI) is one of the technologies that have been exploited to detect or predict depression. The current review aimed at examining the performance of wearable AI in detecting and predicting depression. …”

A machine learning model for early detection of diabetic foot using thermogram images by Amith Khandakar (14151981)

“…Several studies have reported that thermogram images may help to detect an increase in plantar temperature prior to DFU. …”

Enhanced coronary artery segmentation and stenosis detection: Leveraging novel deep learning techniques by Abu Jaffor Morshedul Abedin (22803884)

Toward Adaptive Intrusion Detection Systems for UAVs Using Cyber-Physical Image Analysis by Hanane Amirat (23126110)

“…Despite the growing body of research on intrusion detection systems (IDS) for UAVs, many existing solutions exhibit significant limitations, including a reliance on synthetic datasets and binary classification frameworks. …”

Advanced nutrient monitoring: Cost-effective cerium ion detection with smart device integration by Revathy Raghunathan, Lekshmy

“…This paper-based sensor ensures precise detection at room temperature, demonstrating high sensitivity and selectivity. …”
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Advanced nutrient monitoring: Cost-effective cerium ion detection with smart device integration by Revathy Raghunathan Lekshmy (22046402)

“…This paper-based sensor ensures precise detection at room temperature, demonstrating high sensitivity and selectivity. …”

A Neighborhood Framework for Resource-Lean Content Flagging by Sheikh Muhammad Sarwar (19517701)

“…Unlike prior work on neighborhood-based approaches, we encode the neighborhood information based on query– neighbor interactions. …”