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. …”

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

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

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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. …”

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

“…In view of the above advantages, a novel and the highly sensitive paper-based sensor has been designed for the selective detection of Cu²⁺ ions. The fast and highly sensitive chemiresistive multi-dye system sensor can detect Cu²⁺ ions selectively in as low as 2.23 ppm concentration. …”

A Framework for Abu Dhabi Police Traffic Monitoring and Response System by Abdelfatah, Akmal

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

“…It necessitates an intrusion detection system (IDS) that effectively utilizes both CAN ID and payload data to ensure thorough detection and protection against a wide range of attacks, all while operating within the constraints of limited computing resources. …”

Laser sensor for detection of SF6 leaks in high powerinsulated switchgear systems by Gondal, M.A.

“…A novel photoacoustic spectrometer (PA) has been developed for in-situ detection of SF6 leaks in low concentrations. The developed system is equipped with a sound alarm system and has been tested in the laboratory for very minute SF6 leaks. …”
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TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection by 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. …”

Using machine learning algorithm for detection of cyber-attacks in cyber physical systems by Almajed, Rasha

“…Network integration is common in cyber-physical systems (CPS) to allow for remote access, surveillance, and analysis. …”
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A real-time automatic pothole detection system using convolution neural networks by Bharat, Ricardo

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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. …”

Modified Aquila Optimizer Feature Selection Approach and Support Vector Machine Classifier for Intrusion Detection System by Abualigah, Laith

“…Consequently, the demand for a robust Intrusion Detection System (IDS) has surged. The IDS serves as a critical bastion within the security framework, a significance further magnified in wireless networks where intrusions may stem from the deluge of sensor data. …”
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Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems by Majdi Mansouri (16869885)

“…<p>In this paper, special attention is paid to the detection and diagnosis of various incipient faults of uncertain wind energy conversion (WEC) systems. …”

Board changes and CEO turnover by Dah, Mustafa A.

“…For firms that decrease independence, the CEO turnover performance sensitivity significantly decreases following SOX. …”
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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. …”

Using XAI Techniques to Detect Targeted Data Poisoning Attacks on Healthcare Applications of Machine Learning Systems by Eyad Dhaher Megdadi

“…This research study explores the application of Explainable Artificial Intelligence (XAI) methods for detecting targeted data poisoning attacks in healthcare machine learning systems. …”
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Reduced neural network based ensemble approach for fault detection and diagnosis of wind energy converter systems by Khaled Dhibi (16891524)

“…Wind energy conversion (WEC) system has become a focal point in the research of RE in recent years. …”

An IoT Assisted Real-Time High CMRR Wireless Ambulatory ECG Monitoring System with Arrhythmia Detection by Hassan Ali (3348749)

“…To tackle this problem, in this paper, the development of an Internet of things (IoT) assisted ambulatory electrocardiogram (ECG) monitoring system is presented. The system’s wearable single-channel data acquisition device supports 25 h of continuous operation. …”

Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks by Mohammed Almehdhar (22046597)

“…<p dir="ltr">The rapid evolution of modern automobiles into intelligent and interconnected entities presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) for In-Vehicle Networks (IVNs). …”