Active distribution network type identification method of high proportion new energy power system based on source-load matching حسب Qinlin, Shi

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On the Optimization of Band Gaps in Periodic Waveguides حسب Jamil Renno (14070771)

"…<h3 dir="ltr">Purpose</h3><p dir="ltr">This work applies a computational framework for vibration attenuation in periodic structures by combining the established wave and finite element (WFE) method with nature-inspired optimization algorithms. …"

Optimal operation of reverse osmosis desalination process with deep reinforcement learning methods حسب Arash Golabi (21841484)

"…<p dir="ltr">The reverse osmosis (RO) process is a well-established desalination technology, wherein energy-efficient techniques and advanced process control methods significantly reduce production costs. This study proposes an optimal real-time management method to minimize the total daily operation cost of an RO desalination plant, integrating a storage tank system to meet varying daily freshwater demand. …"

A Comprehensive Method of Ion Exchange Resins Regeneration and Its Optimization for Water Treatment حسب Al-Asheh, Sameer

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Email Spam: A Comprehensive Review of Optimize Detection Methods, Challenges, and Open Research Problems حسب Ekramul Haque Tusher (21324362)

Optimizing recycled PET 3D printing using Taguchi method for improved mechanical properties and dimensional precision حسب Hiba Mohammad Hafiz (17545746)

"…The study identified optimal printing parameters that significantly enhance both dimensional accuracy and mechanical properties of rPET parts, validating their suitability for functional AM applications and advancing circular economy efforts.…"

A comprehensive review on operating room scheduling and optimization حسب Md Al Amin (17808299)

Tensile Test Optimization Using the Design of Experiment and Soft Computing حسب Mehdi Moayyedian (14880358)

"…The marginal error of only 0.72% in the hybrid approach showcases its high precision and reliability in determining the optimal levels of machining parameters. These findings underscore the potential of the Taguchi optimization method, ANFIS, and GA in achieving superior results in the tensile testing of materials, particularly in cases where multiple parameters are involved. …"

A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method حسب Amit Kumar Balyan (18288964)

"…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …"

Genetic and heuristic algorithms for regrouping service sites. (c2000) حسب Tabbara, Hiba

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An optimized xylene-free protein extraction method adapted to formalin-fixed paraffin embedded tissue sections for western blot analysis حسب Mansour, Anthony G.

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A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation حسب Iman M. Hosseini Naveh (16891482)

"…The proposed analysis is established considering the most highly cited, well-known tested and newly expanded swarm-based optimization algorithms (SBOAs), such as Grasshopper Optimization Algorithm (GOA), Grey Wolf Optimization (GWO), Artificial Fish Swarm Algorithm (AFSA), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). …"

Preoperative Bevacizumab Does Not Significantly Increase Postoperative Complication Rates in Patients Undergoing Hepatic Surgery for Colorectal Cancer Liver Metastases حسب Kesmodel, Susan

"…The median time from BV discontinuation to surgery was 58 days (range, 31 to 117 days). No significant associations were identified between BV use and timing of BV discontinuation and postoperative complications. …"
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A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems حسب Faria Nawshin (21841598)

"…Unlike traditional attacks that use fixed or heuristic perturbation parameters, our GA-driven method dynamically evolves perturbation parameters through multi-objective fitness optimization, producing highly adaptive and effective adversarial examples. …"

Nested ensemble selection: An effective hybrid feature selection method حسب Kamalov, Firuz

"…Numerical experiments on synthetic and real-life data demonstrate the effectiveness of the proposed method. The NES algorithm achieves perfect precision on the synthetic data and near optimal accuracy on the real-life data. …"
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Optimization metaheuristic for software testing حسب Mansour, Nashat

"…This paper presents an evolutionary method for testing web applications. Although state-based testing has been reported, few papers have addressed modern web applications. …"
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Multiple objectives optimization of injection-moulding process for dashboard using soft computing and particle swarm optimization حسب Mehdi Moayyedian (14880358)

"…Multiple objectives particle swarm optimisation extracts optimal process parameters. The proposed method is implemented in MATLAB, providing 18 optimal solutions based on the extracted Pareto-Front.…"

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

"…However, their susceptibility to intrusions poses a significant challenge. This paper proposes a novel Intrusion Detection System (IDS) leveraging Particle Swarm Optimization (PSO) and an ensemble machine learning approach combining Random Forest (RF), Decision Tree (DT), and K-Nearest Neighbors (KNN) models to enhance the accuracy and reliability of intrusion detection in WSNs. …"

Optimizing Energy Consumption In Cloud Datacenters حسب Khan, Mueez Ahmad

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A Stochastic Newton-Raphson Method with Noisy Function Measurements حسب Saab, Khaled Kamal

"…This article proposes a novel recursive algorithm providing optimal iterative-varying gains associated with the NR method. …"
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