Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing حسب Jincheng Zhou (1887307)

"…The Particle swarm optimization method performs better in improving makespan, flow time, throughput time, response time, and degree of imbalance.…"

A Comprehensive Review of Digital Twin Technology in Building Energy Consumption Forecasting حسب Maissa Boukaf (22282279)

"…The digitalization of building energy forecasting systems, enhanced by Energy Digital Twin technology alongside IoT devices and advanced data-driven algorithms, offers substantial improvements in energy management and optimization, servicing, maintenance, and energy-efficient design. …"

Analysis of Multi-User-Based UAV System With Outdated CSI حسب Parvez Shaik (21633041)

"…In this framework, altitude and location-dependent path loss modeling are considered for the air-to-ground links. Optimization of UAV location and altitude is performed through a limited-memory Broyden-Fletcher-Goldfarb-Shanno (LBFGS) algorithm to attain minimum OP (MOP). …"

Power-constrained system-on-a-chip test scheduling using a genetic algorithm حسب Harmanani, Haidar M.

"…This paper presents an efficient approach for the test scheduling problem of core-based systems based on a genetic algorithm. The method minimizes the overall test application time of a system-on-a-chip through efficient and compact test schedules. …"
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A Simulated Annealing Algorithm for System-on-Chip Test Scheduling with, Power and Precedence Constraints حسب Harmanani, Haidar M.

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Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm حسب De Rochechouart, Maxence

"…The results show an optimum resource allocation with an information-based cost function that is optimized by an Auction Algorithm.…"
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A Novel BIPV Reconfiguration Algorithm for Maximum Power Generation under Partial Shading حسب Saoud A. Al-Janahi (18877213)

"…The system is optimised for maximum yield to determine the optimal configuration and number of modules for each string using a genetic algorithm. …"

Reinforcement Learning for Resilient Aerial-IRS Assisted Wireless Communications Networks in the Presence of Multiple Jammers حسب Zain Ul Abideen Tariq (17984107)

"…Experimental results demonstrate the effectiveness of our proposed DDPG-based approach in outperforming other RL algorithms. It achieves a near-optimal solution compared to the benchmark technique within the close gap and improves both achievable transmission rates and energy efficiency compared to related works by 50-70%.…"

A novel hybrid methodology for fault diagnosis of wind energy conversion systems حسب Khaled Dhibi (16891524)

"…In the second step, we applied a wrapper technique called equilibrium optimizer to get optimized features and better classification accuracy. …"

A Novel Genetic Trajectory Planning Algorithm With Variable Population Size for Multi-UAV-Assisted Mobile Edge Computing System حسب Muhammad Asim (2235472)

"…<p dir="ltr">This paper presents a multi-unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system, where multiple UAVs (variable number of UAVs) are deployed to serve Internet of Things devices (IoTDs). We aim to minimize the sum of hovering and flying energies of UAVs by optimizing the trajectories of UAVs. …"

Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images حسب Ahila A (18394806)

"…The main novelty of this work is the computer-aided diagnosis scheme for detecting abnormalities in breast ultrasound images by integrating a wavelet neural network (WNN) and the grey wolf optimization (GWO) algorithm. Here, breast ultrasound (US) images are preprocessed with a sigmoid filter followed by interference-based despeckling and then by anisotropic diffusion. …"

Multi-Classifier Tree With Transient Features for Drift Compensation in Electronic Nose حسب Atiq Ur Rehman (8843024)

"…These electronic instruments rely on Machine Learning (ML) algorithms for recognizing the sensed odors. The effect of long-term drift influences the performance of ML algorithms and the models those are trained on drift free data fail to perform on the drifted data. …"

Integrated economic and environmental models for a multi stage cold supply chain under carbon tax regulation حسب Hariga, Moncer

"…The structural properties for the optimal solution of the three models are identified and solution algorithms are also proposed. …"
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The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions حسب Abdulmalik Alwarafy (17984104)

Real-Time Selective Harmonic Mitigation Technique for Power Converters Based on the Exchange Market Algorithm حسب Abraham Marquez Alcaide (18582451)

"…The Exchange Market Algorithm (EMA), initially focused on optimizing financial transactions, is considered and executed to achieve the SHM targets. …"

Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks حسب Najam Us Sahar Riyaz (22927843)

"…Researchers, engineers, and material scientists will gain valuable insights into optimizing ML-driven corrosion predictions, guiding future experimental studies.…"

A High‐Performance MPPT Solution for Solar DC Microgrids: Leveraging the Hippopotamus Algorithm for Greater Efficiency and Stability حسب Debabrata Mazumdar (18560506)

"…Performance of HA's is compared with three established optimization algorithms: Grey Wolf Optimization, Cuckoo Search Algorithm and Particle‐Swarm Optimization across different operating scenarios and partial shading circumstances. …"

An Adaptive Sliding Mode Control for a Dual Active Bridge Converter With Extended Phase Shift Modulation حسب Farzaneh Bagheri (17947811)

"…The conventional single-phase shift (SPS) modulation-based DAB converter is known to be inefficient. Hence, an optimization algorithm based on the Lagrange multiplier method (LMM) is proposed to minimize both backflow power and inductor current stress simultaneously. …"

Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm حسب Odat, Alhaj-Saleh A.

"…The model aims to compare the performance of classical perturb and observe (P&O) algorithm, particle swarm optimization (PSO) algorithm, flower pollination algorithm (FPA), and SMC-based tracking techniques. …"
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Enhancing fairness and scalability in IOTA tangle networks: a POMDP-based tip selection algorithm for decentralized systems حسب Mays Alshaikhli (22564811)

"…This study presents a novel Partially Observable Markov Decision Process (POMDP)-based Tip Selection Algorithm (TSA) to optimize fairness in the IOTA Tangle. …"