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

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Pre-training on Multi-modal for Improved Persona Detection Using Multi Datasets حسب Abdulla, Salwa

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Fault detection and classification in hybrid energy-based multi-area grid-connected microgrid clusters using discrete wavelet transform with deep neural networks حسب S. N. V. Bramareswara Rao (21768302)

"…With this intent, this work proposes a “Discrete Wavelet Transform with Deep Neural Network (DWT-DNN)” for detecting and classifying the various faults that occurred in hybrid energy-based multi-area grid-connected microgrid clusters. …"

Detection of Depression in Arabic Social Media: A Comparison of Traditional and Modern Machine Learning Algorithms حسب ALSHEHHI, OMAR KHALID HAMAD

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MSD-NAS: multi-scale dense neural architecture search for real-time pedestrian lane detection حسب 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. …"

YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm حسب Prabu Selvam (22330264)

"…This study introduces an improved PCB defect detection model, YOLO-DefXpert, using the YOLOv11 algorithm to address the low accuracy and efficiency challenges in detecting tiny-sized defects on PCBs. …"

Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar حسب Sankaran, Rajendran

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Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar حسب Sankaran Rajendran (14152830)

NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY حسب JINESH, PADIKKAPPARAMBIL

"…Therefore, this thesis proposed a Novel Stacking Classification and Prediction (NSCP) algorithm based on AAL for the older people with Multi-strategy Combination based Feature Selection (MCFS) and Novel Clustering Aggregation (NCA) algorithms. …"
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A Bayesian Deep Learning Approach With Convolutional Feature Engineering to Discriminate Cyber-Physical Intrusions in Smart Grid Systems حسب Devinder Kaur (264278)

A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems حسب Faria Nawshin (21841598)

"…The experimental results on the CICMalDroid 2020, KronoDroid, and AndroZoo Android malware detection datasets demonstrate a significant attack success rate, with a reduction of accuracy from 96–97% down to 24–29%, which surpasses the traditional FGSM and PGD variants. …"

A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata حسب Siddiqui, Ansah Juned

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

"…<p dir="ltr">The Cypher Physical Power Systems (CPPS) became vital targets for intruders because of the large volume of high speed heterogeneous data provided from the Wide Area Measurement Systems (WAMS). The Nonnested Generalized Exemplars (NNGE) algorithm is one of the most accurate classification techniques that can work with such data of CPPS. …"

A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security حسب S. Shitharth (12017480)

"…Moreover, the Reconciliate Multi-Agent Markov Learning (RMML) based classification algorithm is used to predict the intrusion with its appropriate classes. …"

Exposure of Botnets in Cloud Environment by Expending Trust Model with CANFES Classification Approach حسب Nagendra Prabhu Selvaraj (17542041)

"…The purpose of this study was to create a multi-layered architecture that could detect a variety of existing and emerging botnets. …"

CEAP حسب Abdel Wahab, Omar

"…To reduce the overhead of the proposed detection model and make it feasible for the resource-constrained nodes, we reduce the size of the training dataset by (1) restricting the data collection, storage, and analysis to concern only a set of specialized nodes (i.e., Multi-Point Relays) that are responsible for forwarding packets on behalf of their clusters; and (2) migrating only few tuples (i.e., support vectors) from one detection iteration to another. …"
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CNN and HEVC Video Coding Features for Static Video Summarization حسب Issa, Obada

"…The proposed solutions are compared with existing works based on an SIFT flow algorithm that uses CNN features. Subsequently, an optional dimensionality reduction based on stepwise regression was applied to the feature vectors prior to detecting key frames. …"
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Automatic Video Summarization Using HEVC and CNN Features حسب Issa, Obada

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Benchmark on a large cohort for sleep-wake classification with machine learning techniques حسب Joao Palotti (8479842)

"…We also implemented and compared state-of-the-art methods to score sleep-wake stages, which range from the widely used traditional algorithms to recent machine learning approaches. …"

Semi-supervised Clustering of Facial Expressions حسب Jalal, Ahsan

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