Detection of statistically significant network changes in complex biological networks by Raghvendra Mall (581171)

“…</p><h3>Conclusions</h3><p dir="ltr">We show that our network differencing procedure can effectively and efficiently detect statistical significant network re-wirings in different conditions. …”

A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity by Wesam S. Ahmed (10170053)

“…Here, we combined molecular dynamics (MD) simulation and mutational analysis to show that the R162A mutation results in a decreased but stable <u>bioluminescence </u>activity of NLuc in living cells and in vitro. …”

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

“…<p dir="ltr">Network intrusion detection systems are crucial for securing information technology and operational technology networks against cyberattacks. …”

A real-time automatic pothole detection system using convolution neural networks by Bharat, Ricardo

“…Detecting a pothole can help prevent damage to your vehicle and potentially prevent an accident. …”
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Development of a Smart System for Leak Detection in Water Distribution Networks by Elshazly, Doha Hesham

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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. …”

Graphical Insight: Revolutionizing Seizure Detection with EEG Representation by Muhammad Awais (263096)

“…Our study presents an innovative approach for detecting seizures and neurological diseases using EEG signals by leveraging graph neural networks. …”

Cyberbullying Detection Model for Arabic Text Using Deep Learning by Albayari, Reem

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Automatic detection of data manipulation in power systems by Al Halabi, Leen

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Communication Network for Ultrasonic Acoustic Water Leakage Detectors by Awwad, Ameen

“…Water leaks in the distribution network produce significant losses and cause serious economic inconvenience especially in areas with water shortage. …”
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A FeedForward–Convolutional Neural Network to Detect Low-Rate DoS in IoT by Harun Surej Ilango (17545728)

“…LR DoS attacks are difficult to detect as their attack signature is similar to benign network traffic. …”

A Novel Versatile Framework for Enabling Early Detection of Evolving Network-based Cyberattacks by THOMAS, RAJESH

“…Network-based cyber-attacks have been increasing in scale, frequency and sophistication, posing significant threats to nation states and organizations worldwide. …”
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Addition of sphingosine-1-phosphate to human oocyte culture medium decreases embryo fragmentation by Zreik, Tony

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SER inspired deep learning approach to detect cardiac arrhythmias in electrocardiogram signals using Temporal Convolutional Network and graph neural network by Samin Yaser (22803530)

“…To address these challenges, we propose a novel <u>deep learning</u> approach that combines Temporal Convolutional Networks (TCN) with Graph Convolutional Networks (GCN) for robust cardiac <u>arrhythmia</u> detection. …”

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. …”
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The Anti-Tumor Agent Sodium Selenate Decreases Methylated PP2A, Increases GSK3βY216 Phosphorylation, Including Tau Disease Epitopes and Reduces Neuronal Excitability in SHSY-5Y Neu... by Wesal Habbab (17346961)

“…Somewhat surprisingly, the catalytically active form, methylated PP2A (mePP2A) was significantly decreased. In close correlation to these data, the phosphorylation state of two substrate proteins, sensitive to PP2A activity, GSK3β and Tau were found to be increased. …”

Ensemble deep learning for brain tumor detection by Shtwai Alsubai (15211962)

“…First, the data is preprocessed efficiently, and then, the Convolutional Neural Network (CNN) is applied to extract the significant features from images. …”

AI-powered malware detection with Differential Privacy for zero trust security in Internet of Things networks by Faria Nawshin (21841598)

“…Detecting <u>Android malware </u>is thus vital for protecting <u>sensitive</u> information and ensuring the reliability of IoT networks. …”

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

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Genetic-Algorithm-Based Neural Network for Fault Detection and Diagnosis: Application to Grid-Connected Photovoltaic Systems by Amal Hichri (21383672)

“…<p dir="ltr">Modern photovoltaic (PV) systems have received significant attention regarding fault detection and diagnosis (FDD) for enhancing their operation by boosting their dependability, availability, and necessary safety. …”