A Machine Learning Based Framework for Real-Time Detection and Mitigation of Sensor False Data Injection Cyber-Physical Attacks in Industrial Control Systems by Mariam Elnour (14147790)

“…A MATLAB/Simulink-based simulation model of the process validated with actual data from a local plant is used. …”

A Novel Deep Learning Model for Detection of Severity Level of the Disease in Citrus Fruits by Poonam Dhiman (12889038)

“…The model demonstrates 96% accuracy in detecting healthy conditions and 97% accuracy in detecting medium severity levels. …”

Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques by Umesh Kumar Lilhore (17727684)

“…This research work analyses cervical cancer and various risk factors to help detect cervical cancer. The proposed model Boruta with SVM and various popular ML models are implemented using Python and various performance measuring parameters, i.e., accuracy, precision, F 1 – Score , and recall. …”

Advanced Technology in Agriculture Industry by Implementing Image Annotation Technique and Deep Learning Approach: A Review by Normaisharah Mamat (19517623)

“…<p dir="ltr">The implementation of intelligent technology in agriculture is seriously investigated as a way to increase agriculture production while reducing the amount of human labor. …”

Reputation-based cooperative detection model of selfish nodes in cluster-based QoS-OLSR protocol. (c2014) by Moati, Nadia

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OutPyR: Bayesian inference for RNA-Seq outlier detection by Edin Salkovic (16891479)

Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches by Natasha Akram (20749538)

“…In recent studies, traditional machine learning and deep learning algorithms have been implemented to detect fake job postings; this research aims to use two transformer-based deep learning models, i.e., Bidirectional Encoder Representations from Transformers (BERT) and Robustly Optimized BERT-Pretraining Approach (RoBERTa) to detect fake job postings precisely. …”

A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI by Oishi Jyoti (21593819)

Simulation study of a coincidence detection system for non-invasive determination of arterial blood time-activity curve measurements by Yassine Toufique (8252550)

“…An alternative method is proposed in this work by the simulation of a non-invasive coincidence detection unit.</p><h3>Results</h3><p dir="ltr">We utilized GATE simulations of a human forearm phantom with a blood flow model, as well as a model for dynamic radioactive bolus activity concentration based on clinical measurements. …”

End to End Camera only Drone Detection and Tracking Demo within a Multi-agent Framework with a CNN-LSTM Model for Range Estimation by De Rochechouart, Maxence

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Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection by Mamun Or Rashid (21976373)

“…To address these challenges, we propose a novel model, Self-DSNet, for efficient driving distraction detection. …”

Assuring consistency in mixed models by Haraty, Ramzi A.

“…In this paper, we propose an approach to detect and report inconsistencies when choosing mixed models for integrity and security. …”
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Holocene lithostratigraphy and its implementation in the geoarchaeological research of the Athenian Basin, Greece by Pavlopoulos, Kosmas

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Audio-deepfake detection: Adversarial attacks and countermeasures by Mouna Rabhi (17086969)

“…., the Deep4SNet classification model, which achieves 98.5% accuracy in detecting fake audio samples. …”

Microwave brain imaging system to detect brain tumor using metamaterial loaded stacked antenna array by Amran Hossain (570706)

“…Later, a nine-antenna array-based microwave brain imaging (MBI) system is implemented and investigated by using phantom model. …”

Lightweight intrusion detection for mobile devices. (c2012) by Breidi, Fawzi

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

Use of Data Mining Techniques to Detect Fraud in Procurement Sector by AL HAMMADI, SUMAYYA ABDULLA

“…The method used in this research is a classification of models and algorithms used in data mining. All techniques also will be studied; they include clustering, tracking patterns, classifications and outlier detection. …”
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Detection of statistically significant network changes in complex biological networks by Raghvendra Mall (581171)

“…Several procedures have been recently proposed to detect sub-network differences in pairwise labeled weighted networks.…”

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

“…Due to the difficulty of manually detecting and categorizing vast volumes of electronic text data, conventional methods for recognizing and combating cyberbullying have not proven successful. …”
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