" Design of Variable Structure Stabilizer for a Nonlinesr Mode of SMIB System: Particle Swarm Approach" by Al-Hamouz, Z.

“…In this paper, a particle swarm-(PSO) based variable structure stabilizer (VSC) is proposed for enhancing the dynamic stability of a nonlinear model of synchronous machine infinite busbar system (SMIB). …”
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"Design of Variable Structure Stabilizer for a Nonlinesr Mode of SMIB System: Particle Swarm Approach" by Al-Duwaish, H.

“…In this paper, a particle swarm-(PSO) based variable structure stabilizer (VSC) is proposed for enhancing the dynamic stability of a nonlinear model of synchronous machine infinite busbar system (SMIB). …”
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Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers by Ali Sharida (17947847)

“…To develop the DT, a dense deep neural network (DNN) machine learning approach is used. The DT is trained offline using a set of experimental data and updated online to get the maximum possible accuracy. …”

Robustness evaluation of real-Time Protocols by Tarhini, Abbas

“…In this paper, we suggest a methodology for measuring the degree of robustness for Real-Time Component-Based Systems (RTCBS). Each component of the RTCBS system is modeled as a Timed Labeled Transition System (TLTS). …”
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A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass by Uzma Nawaz (21980708)

“…By synthesizing findings across various data sources and model architectures, we offer critical insights into the selection of context-aware algorithms and identify key research gaps, an essential step for advancing the reliability and applicability of AI-driven seagrass conservation efforts.…”

Adaptive PID Controller for a Non Linear Pendulum System Using Recurrent Neural Networks by Jafari, Reza

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Resource allocation scheme for eMBB and uRLLC coexistence in 6G networks by Muhammed Al-Ali (16810677)

“…An optimal resource allocation scheme is proposed with two scenarios including a guaranteed fairness level and minimum data rate among eMBB users. In addition, a knapsack-inspired punctured resource allocation algorithm is proposed where the users’ channel qualities of both services are considered at each time slot leading to the most suitable Resource Block (RB) selection for puncturing in a way that minimizes the negative impact on eMBB performance. …”

Computational evluation of protein energy functions by Mansour, Nashat

“…Also, we propose an approach based on a simulated annealing algorithm to find a better combination of energy terms, by assigning different weights to the terms, for the purpose of improving the capability of the computational prediction methods.…”
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Design and Analysis of Lightweight Authentication Protocol for Securing IoD by Saeed Ullah Jan (9079260)

“…An attacker can easily capture data from the available network channel and use it for their own purpose. …”

Predicting Android Malware Using Evolution Networks by Chahine, Joy

“…With this aim, we introduce evolutionary networks, and particularly the Susceptible-Infectious-Susceptible (SIS) model, as a way to address the limitations of previous studies which are typically based on traditional machine learning models. …”
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Enhancement of power system dynamic performance through an on-line self-tuning adaptive SVC controller by Rahim, A.H.M.A.

“…The control derived is based on a pole-shifting technique employing a predicted plant model. …”
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Using Text Mining and Clustering Techniques on Tweets to Discover Trending Topics in Dubai by Hamadeh, Moutaz Wajih

“…Tweets corpus of Dubai were collected, they were presented through the bag of words model using TF-IDF weighting scheme, after that the output of text transformation was introduced to k-means clustering algorithm with cosine similarity measure. …”
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Optimal Routing Protocol in Multimedia Wireless Sensor Networks by Al-Zurba, Hiba

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Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems by Mahmood, Lubna Syeda

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A novel technique for fast multiplication by Sait, Sadiq M.

“…In case of 2's complement multiplication the tree of carry-save-adders also receives a correction output produced in parallel with the partial products. The algorithms is modeled in a hardware description language and its VLSI chip implemented. …”
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Approximate XML structure validation technical report by Tekli, Joe

“…Our approach exploits the concept of tree edit distance, introducing a novel edit distance recurrence and dedicated algorithms to effectively compare XML documents and grammar structures, modeled as ordered labeled trees. …”
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Anonymizing multimedia documents by Haraty, Ramzi

“…In this paper, we propose de-linkability, a privacy-preserving constraint to bound the amount of information outsourced that can be used to re-identify individuals. We provide a sanitizing MD∗-algorithm to enforce de-linkability along with a utility function to evaluate the utility of multimedia documents that is preserved after the sanitizing process. …”
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A Navigation System for Indoor/Outdoor Environments with an Unmanned Ground Vehicle (UGV) by Roigari, Milad

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StackDPPred: Multiclass prediction of defensin peptides using stacked ensemble learning with optimized features by Muhammad Arif (769250)

“…In this paper, we aim to propose a novel multi-class ensemble-based prediction model called StackDPPred for identifying the properties of DPs. …”

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

“…Our systematic review covers a range of AI algorithms, including traditional ML, and advanced neural network models, such as Transformers, illustrating their effectiveness in IDS applications within IVNs. …”