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. …”

Applications of bioconvection for tiny particles due to two concentric cylinders when role of Lorentz force is significant by Lei Zhang (38117)

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

Get full text

Ensemble-Guard IoT: A Lightweight Ensemble Model for Real-Time Attack Detection on Imbalanced Dataset by Muhammad Usama Tanveer (22225360)

“…<p dir="ltr">The rapid increase in the number of IoT devices has made ensuring robust real-time attack detection more critical than ever. The volume of data being accessed in real-time by these devices presents unique security challenges that traditional detection techniques struggle to address with the required precision and efficiency. …”

MSD-NAS: multi-scale dense neural architecture search for real-time pedestrian lane detection by Sui Paul Ang (18460605)

“…Hence, an optimized deep neural network (DNN) for pedestrian lane detection is required. Designing a DNN from scratch is a laborious task that requires significant experience and time. …”

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

“…An application on the user’s smartphone renders real-time ECG trace and heart rate and detects abnormal heart rhythms. …”

An End-to-End Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise by Shams Nafisa Ali (17949191)

FlashDetR: A deep learning pipeline for early detection and time estimation of flashover in high-voltage insulators using infrared videos by Najmath Ottakath (17430912)

VisioDECT: a novel approach to drone detection using CBAM-integrated YOLO and GELAN-E models by Md. Sakib Bin Islam (22828181)

“…This improvement in spatial and channel attention significantly boosts detection performance, particularly for small and occluded drones. …”

A dual-stage deep learning approach for robust detection and identification of hardware trojans using monte-carlo dropout by Arash Golabi (21841484)

“…The proposed approach transforms time-series side-channel data- including power consumption, electromagnetic emissions, and timing information-into two distinct image-based representations using Markov Transition Fields (MTF) and a reshaping technique. …”

VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems by Hisham A. Kholidy (18891802)

Correlating process parameters to thrust forces and torque in the friction stir processing of AZ31B by Ammouri, Ali

“…The thrust force increased while the torque decreased as the tool rotational speed increased. …”
Get full text
Get full text
Get full text

Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI by Md. Faysal Ahamed (21842396)

“…These polyps cause severe conditions in the colon or rectum, presenting a significant diagnostic challenge. Traditional manual detection through medical imaging is not only bulky and prone to errors but also incurs substantial costs, requiring expert endoscopist. …”

Engineering the Surface and Mechanical Properties of Water Desalination Membranes Using Ultralong Carbon Nanotubes by Yehia M. Manawi (18091207)

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

“…We highlight the transition from traditional signature-based to anomaly-based detection methods, emphasizing the significant advantages of AI-driven approaches in identifying novel and sophisticated intrusions. …”

Temporal fusion transformer-based prediction in aquaponics by Ahmet Metin (12832543)

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

Get full text

Uncertainty and Risk in Cryptocurrency Markets: Evidence of Time-frequency Connectedness by Rao, Amar

“…We utilise the Baruník and Křehlík (2018) framework to detect timefrequency connectedness. Our investigation for the period 2017 to 2022 discovers significant spillover effects from both indices to cryptocurrencies. …”
Get full text
Get full text
Get full text

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

Get full text

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

“…<p dir="ltr">Temporal action detection (TAD) aims to recognize actions as well as their corresponding time spans from an input video. …”