Anomalies Detection in Software by Conceptual Learning From Normal Executions حسب Ahmad Qadeib Alban (16855206)

"…<p>Could we detect anomalies during the run-time of a program by learning from the analysis of its previous traces for normally completed executions? …"

Prospective, randomized, crossover study to evaluate the benefit of human chorionic gonadotropin-timed versus urinary luteinizing hormone-timed intrauterine inseminations in clomip... حسب Zreik, Tony

"…The pregnancy rate with LH-timed IUI was 4.29% (3/70) and that with hCG-induced ovulation was 4.23% (3/71); the difference was not statistically significant. …"
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Explainable phishing website detection for secure and sustainable cyber infrastructure حسب Tanzila Kehkashan (20748842)

"…Moreover, previous research has often overlooked the critical role of identifying which features are important for detection and their impact on outcomes. Traditional methods might not fully capture the significance of individual features. …"

Evaluating chemiluminescent immunoassays for syphilis detection: A comparative analysis حسب Ahmed, Ismail

"…Given its operational efficiency and strong agreement with gold-standard assays, Mindray-TP can enhance diagnostic workflows, leading to timely syphilis detection and improved patient outcomes.…"
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VEGAWES: variational segmentation on whole exome sequencing for copy number detection حسب Samreen Anjum (19651882)

"…<p dir="ltr">Copy number variations are important in the detection and progression of significant tumors and diseases. …"

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

"…Our findings highlight the need for future research to improve data transformation techniques, especially in terms of dataset labeling and inference time reporting, to support the development of more robust and practical network intrusion detection systems.…"

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

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

"…Subsequently, we employ Gated Recurrent Unit (GRU) model coupled with the application of word2vec technique for word embedding to develop a cyberbullying detection model. Furthermore, we present temporal abusive tweet probability analysis method to provide a nuanced analysis of the number of bullying and non-bullying tweets sent by individuals within a specific time interval. …"

W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting حسب Sasal, Lena

"…Evaluating our framework on several publicly available benchmark time series datasets from various domains and with diverse characteristics, we demonstrate that it performs, on average, significantly better than the baseline forecasters for short-term and long-term forecasting, even for datasets that consist of only a few hundred training samples.…"
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Substrate Dependent Analysis of Printed Sensors for Detection of Volatile Organic Compounds حسب 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. …"

Design and Development of Inexpensive Paper-Based Chemosensors for Detection of Divalent Copper حسب Mithra Geetha (14151807)

"…The easy preparation and high stability of dye solutions, easy functionalization of the paper-based sensors, high selectivity over other cations, low interference of counter anion, and significantly low detection limit of 2.23 ppm make it an effective Cu²⁺ ion sensor for real-time application in near future.…"

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

"…This thesis contributes to the very few studies that took one step ahead by developing novel models to understand what causes sentiment changes over time. Obviously, identifying main reasons for public reactions is valuable to decision-makers so that they can take necessary actions in a timely manner. …"
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Classification and segmentation of kidney MRI images for chronic kidney disease detection حسب 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. …"

Design and Implementation of Real-Time Kitchen Monitoring and Automation System Based on Internet of Things حسب Ch Anwar Ul Hassan (17457950)

Beyond vanilla: Improved autoencoder-based ensemble in-vehicle intrusion detection system حسب Sampath Rajapaksha (17541411)

"…However, the lack of security measures such as authentication and encryption makes the CAN bus vulnerable to cyberattacks, which affect the safety of passengers and the surrounding environment. Detecting attacks on the CAN bus, particularly masquerade attacks, presents significant challenges. …"

The Integration of AI Into Quality Management in Industries Like Automotive, Healthcare, and Defence حسب ROBARI, SAUD HASSAN

"…The findings reveal that AI significantly enhances real-time monitoring, defect detection, and predictive maintenance, contributing to improved product quality and operational resilience. …"
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TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection حسب Zina Chkirbene (16869987)

"…<p>Machine learning techniques are becoming mainstream in intrusion detection systems as they allow real-time response and have the ability to learn and adapt. …"

Noise2Weight: On detecting payload weight from drones acoustic emissions حسب Omar Adel Ibrahim (18394779)

"…We applied the above findings to different use-cases and scenarios, characterized by different computational capabilities of the detection system. Results are striking: using the Mel-Frequency Cepstral Coefficients (MFCC) components of the audio signal and different Support Vector Machine (SVM) classifiers, we showed that it is possible to achieve a minimum classification accuracy of 98% in the detection of the specific payload class carried by the drone, using an acquisition time of only 0.25 s—performances improve when using longer time acquisitions. …"

Novel interpretable and robust web-based AI platform for phishing email detection حسب Abdulla Al-Subaiey (19757007)

"…This research offers a practical and highly accurate solution, contributing to the fight against phishing by empowering users with a real-time web-based application for phishing email detection.…"

Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application حسب Abdus Salam (1918387)

"…However, mulberry trees are highly susceptible to diseases, spreading rapidly and causing significant losses. Manual disease identification across large farms is arduous and time-consuming. …"