Enhanced dry SO₂ capture estimation using Python-driven computational frameworks with hyperparameter tuning and data augmentation by Robert Makomere, Hilary Rutto, Alfayo Alugongo, Lawrence Koech, Evans Suter, Itumeleng Kohitlhetse

“…In addition, it was the least convoluted algorithm according to Akaike information criterion and Bayesian information criterion assessments. …”
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Genetic search method for design calculation of dimensional chains by V. V. Frolov

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Implementing a Hybrid Quantum Neural Network for Wind Speed Forecasting: Insights from Quantum Simulator Experiences by Ying-Yi Hong, Jay Bhie D. Santos

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Transactive energy management for efficient scheduling and storage utilization in a grid-connected renewable energy-based microgrid by Peter Anuoluwapo Gbadega, Olufunke Abolaji Balogun

“…Comparative analysis reveals that SMA consistently outperforms conventional methods such as Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) in terms of convergence speed and computational efficiency, making it particularly suitable for real-time energy management. …”
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CO2 Emission-Constrained Short-Term Unit Commitment Problem Using Shuffled Frog Leaping Algorithm by K. Selvakumar, D. Selvabharathi, R. Palanisamy, T. M. Thamizh Thentral

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AGC of a Multi‐Area Hydrothermal Interconnected Diverse Deregulated Power System Using a Proposed Novel SBOA‐Multi‐Level Fuzzy Logic‐Tilt Controller Incorporated With IPFC by Getaneh Mesfin Meseret, Nishant Kumar, Tarkesh Kumar Mahato, Rajesh Kumhar, Poonam Lakra, M. D. Mofeed Alam

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Gorilla troops optimization with deep learning based crop recommendation and yield prediction by A. Punitha, V. Geetha

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FOX-TSA hybrid algorithm: Advancing for superior predictive accuracy in tourism-driven multi-layer perceptron models by Sirwan A. Aula, Tarik A. Rashid

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A Novel Prediction Model for the Sales Cycle of Second-Hand Houses Based on the Hybrid Kernel Extreme Learning Machine Optimized Using the Improved Crested Porcupine Optimizer by Bo Yu, Deng Yan, Han Wu, Junwu Wang, Siyu Chen

“…Then, in order to solve the problems of slow convergence, easy-to-fall-into local optimum, and insufficient optimization performance of the traditional CPO, this paper proposes an improved optimization algorithm for crowned porcupines (Cubic Chaos Mapping Crested Porcupine Optimizer, CMTCPO). …”
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Differential Evolution-Based Transient Search Optimizer for Image Multi-Thresholding Problem by Nitin Mittal, Supreet Singh, Lalit Kumar, Gurpreet Kaur, Vikas Mittal, A. Johnson Santhosh

“…This research proposed a self-adaptive hybrid differential evolution (DE) based transient search optimizer (TSO) called DETSO. DETSO uses the search equations of DE algorithm to improve the exploration capability of original TSO. …”
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Research on adverse event classification algorithm of da Vinci surgical robot based on Bert-BiLSTM model by Tianchun Li, Wanting Zhu, Wenke Xia, Li Wang, Weiqi Li, Peiming Zhang

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Correlation learning based multi-task model and its application by XU Wei, LUO Jianping, LI Xia, CAO Wenming

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Minimizing Delay in UAV-Aided Federated Learning for IoT Applications With Straggling Devices by Mudassar Liaq, Waleed Ejaz

“…We also incorporate an IoT device importance and selection scheme to further improve system performance. We formulate an optimization problem to minimize system delay, considering UAV-MEC’s computation power, computation and communication power of IoT devices, and quality of service constraints. …”
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Quantum key distribution rates from non-symmetric conic optimization by Andrés González Lorente, Pablo V. Parellada, Miguel Castillo-Celeita, Mateus Araújo

“…Recently, however, a practical algorithm has been discovered for optimizing over non-symmetric cones, including the relative entropy. …”
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METAHEURISTIC-DRIVEN MULTI OBJECTIVE FIR FILTER DESIGN FOR ECG DENOISING by Mehmet Fatih Karakaş, Fatma Latifoğlu

“…The research employs advanced metaheuristic algorithms, including Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), Genetic Algorithm (GA), Black Widow Optimization (BWO), Chaos Game Optimization (CGO), Harmony Search (HS), Squirrel Search Algorithm (SSA), and Atomic Orbital Search (AOS) to optimize multiple filter design parameters jointly. …”
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Research on Abstraction-Based Search Space Partitioning and Solving Satisfiability Problems by Yuexin Huang, Qinzhou Niu, Yanfang Song

“…Solving satisfiability problems is central to many areas of computer science, including artificial intelligence and optimization. …”
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Empowering Optimal Operations with Renewable Energy Solutions for Grid Connected Merredin WA Mining Sector by Md Ohirul Qays, Ravi Kumar, Minhaz Ahmed, Stefan Lachowicz, Uzma Amin

“…The optimization method also resulted in the lowest computation time of 1.153 s and highest accuracy 99.247% when compared with other existing algorithms. …”
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Machine learning for optimal parameter prediction in free space continuous-variable quantum key distribution by Dong Chen, Cheng Jin, Liu Ao, Chen Lanjian, Chen YuJie, Yin Peng, Wu TianYi

“…The optimization relies on algorithms like local search in general. …”
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Multi-Objective Optimization for Green BTS Site Selection in Telecommunication Networks Using NSGA-II and MOPSO by Salar Babaei, Mehran Khalaj, Mehdi Keramatpour, Ramin Enayati

“…However, the NSGAII algorithm performs better in terms of computational time for medium-sized problems compared to the MOPSO algorithm. …”
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Identifying candidate biomarkers for detecting bronchogenic carcinoma stages using metaheuristic algorithms based on information fusion theory by Bagher Khalvati, Kaveh Kavousi, Amir Hosein Keyhanipour, Masoud Arabfard

“…To identify robust biomarkers, we applied eight metaheuristic algorithms for feature selection, combined with four classification methods and two data fusion techniques to optimize performance. …”
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