Defense against adversarial attacks: robust and efficient compressed optimized neural networks by Insaf Kraidia (19198012)

“…A cumulative updating loss function was employed for overall optimization, demonstrating remarkable superiority over traditional optimization techniques. …”

Applying Graph Neural Networks to the Decision Version of Graph Combinatorial Optimization Problems by Raka Jovanovic (17947838)

“…Computational experiments show that this new structure is significantly more efficient than basic structures. To further improve the performance of this method, the use of GCN ensembles is also explored. …”

Optimal Planning of Distributed Generators and Shunt Capacitors in Isolated Microgrids With Nonlinear Loads by Yazdavar, Ameen H.

Get full text

Optimizing the Cleaning Frequency of Solar Photovoltaic (PV) systems Using Numerical Analysis by Kaiss, El-Cheikh Amer Kais

Get full text

Assessment of Different Commissioning Service Methods and their Ability to Achieve the Performance KPIs in Educational Buildings in Abu Dhabi-UAE by Kuriakose, Naveen

Get full text

On–off-Grid Optimal Hybrid Renewable Energy Systems for House Units in Iraq by Hussain Alshamri (21225128)

“…<p dir="ltr">This paper addresses the optimal sizing of Hybrid Renewable Energy Systems (HRESs), encompassing wind, solar, and battery systems, with the aim of delivering reliable performance at a reasonable cost. …”

Analysis of combustion synthesis method for Cu/CeO2 synthesis by integrating thermodynamics and design of experiments approach by Parisa, Ebrahimi

“…Solution combustion synthesis (SCS) is a commonly used method for synthesizing nanomaterials due to its energy and time efficiency. …”
Get full text
Get full text
Get full text

Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models by Saad Hameed (6488738)

“…Comprehensive experiments across three scenarios—(1) optimizing the Rastrigin function, (2) using Long Short-Term Memory (LSTM) networks for time series regression, and (3) using Convolutional Neural Networks (CNNs) for material classification—show that the method significantly improves convergence rates and lowers computational costs. …”

Privacy-preserving energy optimization via multi-stage federated learning for micro-moment recommendations by Md Mosarrof Hossen (21399056)

“…Traditional methods often rely on centralized servers to gather and analyze consumption data, which can lead to significant privacy risks as personalized information becomes accessible online. …”

Optimization of Micro-Pollutants’ Removal from Wastewater Using Agricultural Waste-Derived Sustainable Adsorbent by Areej Alhothali (18518970)

“…The study also provides analysis on the reusability of PKSB for up to four cycles using two different methods. The methods reflected a significantly good performance for PAH and COD removal for up to two cycles. …”

Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach by Debabrata Mazumdar (18560506)

“…<p dir="ltr">The output of photovoltaic (PV) systems is significantly impacted by the vagaries of ambient temperature, solar irradiance, and environmental fluctuations. …”

An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm by Ghulam Jillani Ansari (16896342)

“…Third, to improve the average F-score of the classifier, we apply a meta-heuristic optimization technique using a GA for feature selection. …”

LightEnsemble-Guard: An Optimized Ensemble Learning Framework for Securing Resource-Constrained IoT Systems by Muhammad Usama Tanveer (22225360)

“…This ensemble strategy ensures an optimal balance between detection performance and computational resource utilization, making it well-suited for IoT networks, where processing power and memory are limited. …”

A machine learning-based optimization approach for pre-copy live virtual machine migration by Raseena M. Haris (17773470)

“…To address the issue, this paper proposes a machine learning-based method to optimize pre-copy migration. It has mainly three stages (i) Feature selection (ii) Model generation and (iii) Application of the proposed model in pre-copy migration. …”

Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm by Abu Zitar, Raed

“…Optimization algorithms are one of the most popular methods for solving NP-hard problems. …”
Get full text

Optimizing the construction team’s performance The influence of an agile project manager on a construction project team’s Success by AL-HADDADIN, FAIK RAID

Get full text

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

“…This paper introduces a novel feature selection method grounded in Support Vector Machine (SVM) and harnessing the innovative modified Aquila Optimizer (mAO) for Intrusion Detection Systems in Wireless Sensor Networks. …”
Get full text

Managing supply chain performance using a real time Microsoft Power BI dashboard by action design research (ADR) method by Dewan Hafiz Nabil (19198072)

“…This research makes a significant contribution to the field of SCM by illustrating how SC performance can be managed using the ADR method and the SC key performance indicators (KPIs). …”

Application of Tools of Quality Function Deployment and Modified Balanced Scorecard for Optimal Allocation of Pavement Management Resources by Okan Sirin (14603304)

“…Most of the pavement management entities are driven by optimization models that allow the optimization of a single objective. …”

Optimal management, prevalence, and clinical behavior of saddle pulmonary embolism: A systematic review and meta-analysis by Fateen Ata (12217764)

“…<h3>Introduction</h3><p dir="ltr">The central location, size, and instability of saddle pulmonary embolism (SPE) have raised significant concerns regarding its clinical, hemodynamic effects as well as optimal management. …”