An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization by Majdi Mansouri (16869885)

“…First, an efficient feature selection algorithm based on particle swarm optimization (PSO) is proposed. The main idea behind the use of the PSO algorithm is to remove irrelevant features and extract only the most significant ones from raw data in order to improve the classification task using a neural networks classifier. …”

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

“…The IDS serves as a critical bastion within the security framework, a significance further magnified in wireless networks where intrusions may stem from the deluge of sensor data. …”
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Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link by Bayan Hussein (16904856)

“…This article presents an approach for optimizing load management and scheduling in CubeSat applications to ensure optimal coordination between the load demand, power generation, and energy storage while maintaining communication's quality of service requirements, namely the data rate and bit error rate (BER). …”

SVM-based task admission control and computation offloading using lyapunov optimization in heterogeneous MEC network by Abbas, Nadine

“…This can be realized through efficient computing data offloading and yet enhanced while simultaneously using multiple wireless interfaces for D2D, MEC and cloud offloading. …”
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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. …”

Renewable Energy, Coal as a Baseload Power Source, and Greenhouse Gas Emissions: Evidence from U.S. State-Level Data by Squalli, Jay

“…These findings have significant policy implications for the provision of guidance to policymakers in identifying optimal energy mixes and in pursuing realistic goals to enhance renewable energy penetration and to contribute to the current efforts of tackling climate change.…”
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PFDI: a precise fruit disease identification model based on context data fusion with faster-CNN in edge computing environment by Poonam Dhiman (12889038)

“…<div><p>Fruits significantly impact everyday living, i.e., Citrus fruits. …”

Hybrid African vultures–grey wolf optimizer approach for electrical parameters extraction of solar panel models by Mahmoud A. Soliman (17346778)

“…<p dir="ltr">Three-diode model (TDM) of photovoltaic (PV) cells is a significantly precise model that addresses the electrical and optical losses in such PVs. …”

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

“…Researchers have scrutinized data hiding schemes in recent years. Data hiding in standard images works well, but does not provide satisfactory results in distortion-sensitive medical, military, or forensic images. …”
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Enhancing Outdoor Thermal Comfort and Optimizing Indoor Energy Consumption Performance of an Existing Urban Community, Dubai, UAE by SCHREIBER, CHERI

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QFD-based optimization model for mitigating sustainable supply chain management adoption challenges for Bangladeshi RMG industries by Md Al Amin (17808299)

“…The findings are crucial for Bangladeshi RMG industries aiming for global market competitiveness and contribute significantly to the academic field by introducing a robust, data-driven decisions for sustainable supply chain optimization. …”

Effective Curriculum Implementation for Optimal Teaching and Learning Experience A study conducted in a private school in Dubai by HAQUE, AAISHA

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Whole genome sequencing of marine organisms by Oxford Nanopore Technologies: Assessment and optimization of HMW‐DNA extraction protocols by Sonia Boughattas (508422)

“…Our method proved to work significantly better for different marine species regardless of their shape, consistency, and sample preservation, improving Oxford Nanopore Technologies sequencing yield by 39 folds for Spirobranchus sp. and enabling generation of almost 10 GB data per flow cell/run for Chrysaora sp. and Palaemon sp. samples.…”

Supporting secure dynamic alert zones using searchable encryption and graph embedding by Sina Shaham (17707254)

“…We show that the optimal encoding is NP-hard, and we provide three heuristics that obtain significant performance gains: gray optimizer, multi-seed gray optimizer and scaled gray optimizer. …”

Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas by Marwan Dhuheir (19170898)

“…<p dir="ltr">Over the past decade, Unmanned Aerial Vehicles (UAVs) have attracted significant attention due to their potential applications in emergency-response applications, including wireless power transfer (WPT) and data collection from Internet of Things (IoT) devices in disaster-affected areas. …”

Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach by Shaikh Afnan Birahim (22303750)

“…<p dir="ltr">Wireless Sensor Networks (WSN) play a pivotal role in various domains, including monitoring, security, and data transmission. However, their susceptibility to intrusions poses a significant challenge. …”

Electric Grid Resilience Enhancement During Natural Disasters: An Optimization-Based UAV Inspection and Dynamic Crew Dispatch Model by Serag, Yousef

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Optimizing pain management and pupil dilation in cataract surgery: a systematic review and meta-analysis of phenylephrine/ketorolac (OMIDRIA®) by Mohamed Abo Zeid (20020680)

“…Key outcomes included pain management, pupil diameter, and adverse events. Data were synthesized using meta-analysis with fixed and random-effects models, and heterogeneity was assessed using the I² statistic.…”

Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant by Shahbaz Hussain (9765320)

“…The results are of great significance as the real data of an IPP is used and imply that the performance of PSO is better than that of GA in case of CEED for finding the optimal solution concerning fuel cost, emission, convergence characteristics, and computational time. …”

A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks by Umesh Kumar Lilhore (17727684)

“…The proposed model also utilized an enhanced back propagation neural network for data fusion operation, which is based on multi-hop system and also operates a highly optimized momentum technique, which helps to choose only optimum energy nodes and avoid duplicate selections that help to improve the overall energy and further reduce the quantity of data transmission. …”