A modified particle swarm optimization-based adaptive maximum power point tracking approach for proton exchange membrane fuel cells by Bhukya Laxman, Ramesh Gugulothu, Surender Reddy Salkuti

“…In this paper, a Modified Particle Swarm Optimization (MPSO) method is proposed for maximum power point tracking (MPPT) to optimize the power output of Proton Exchange Membrane Fuel Cells (PEMFCs). …”
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Metal-polymer platinum nanocomposites for electrochemical conversion of hydrogen fuels in chemical power sources by M. V. Lebedeva, N. A. Yashtulov, N. E. Minina, B. A. Belyaev

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Research on Time Series Interpolation and Reconstruction of Multi-Source Remote Sensing AOD Product Data Using Machine Learning Methods by Huifang Wang, Min Wang, Pan Jiang, Fanshu Ma, Yanhu Gao, Xinchen Gu, Qingzu Luan

“…This study aims to develop a high-precision method to fill spatial AOD missing values and generate daily full-coverage AOD products for the Beijing–Tianjin–Hebei region in 2021 by integrating multi-dimensional data, including meteorological models, multi-source remote sensing, surface conditions, and nighttime light parameters, and applying machine learning methods. …”
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Impact of the Spatiotemporal Relationship Between Blast Source and Protected Area on Wave Arrival Sequence and Vibration Control Methods in Bench Blasting by Sijie Wang, Haojun Wu, Min Gong, Xiaodong Wu

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Optimization Of Solar Panel Usage In Grid-Connected Hybrid Energy Systems Using Fuzzy Method by Dina Maizana, Muhathir Muhathir, Habib Satria, Moranaim Mungkin, Muhammad Fadlan Siregar, Yanawati Binti Yahya

“…This study applies the Fuzzy method to analyze the optimal utilization of solar panels in a grid-connected hybrid system for electricity demand. …”
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Neck shape optimization of resonator-type sound absorbers using adjoint lattice Boltzmann method by Kimiya Takeuchi, Kazuya Kusano

“…In this study, we attempted to improve the sound absorption characteristics of a Helmholtz resonator using an unsteady adjoint method based on the lattice Boltzmann equation. The adjoint-based shape optimization created a concave shape on the upper side and a convex shape on the lower side of the resonator neck, alleviating noise to a greater extent compared with straight and serrated neck shapes. …”
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Optimizing K-Means Algorithm Using the Purity Method for Clustering Oil Palm Producing Regions by Novia Hasdyna, Rozzi Kesuma Dinata, Balqis Yafis

“…This study examines two clustering techniques: the conventional K-Means algorithm and an optimized version, Purity K-Means. Integrating the Purity method increases K-Means' efficiency by decreasing the required convergence iteration. …”
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Optimization of Two Methods for the Rapid and Effective Extraction of Quinine from <i>Cinchona officinalis</i> by Gianella Ochoa, Leonardo Armijos, Jorge G. Figueroa, Ximena Jaramillo-Fierro, Natalí Solano-Cueva

“…This study successfully optimized two advanced extraction methods, microwave-assisted extraction (MAE) and ultrasound-assisted extraction (UAE), for the efficient and rapid recovery of quinine from <i>Cinchona officinalis</i>. …”
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Model and training method for aerial image object detector with optimization of both robustness and computational efficiency by Alona Moskalenko, Mykola Zaretskyi, Maksym Vynohradov, Vladyslav Babych

“…This paper investigates a model and method for enhancing the robustness of neural network detectors under limited resources. …”
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Evaluation of the impact of the distance determination function on the results of optimization of the geographical placement of renewable energy sources-based generation using a... by Andrei M. Bramm, Stanislav A. Eroshenko

“…Various metaheuristic methods are used to solve the task of optimal renewable energy sources-based generation geographical placement. …”
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Optimal frequency of temperature change of a heat transfer agent on a heat source and the influence of the rate of change thereof on heat energy loss by I. G. Akhmetova, K. V. Lapin

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The optimization of development process of petrol-gas stations network with the purpose to increase energy efficiency by Larisa Jovanović, Dijana Fedjunina, Milan Radosavljević

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Unsupervised Machine Learning for Effective Code Smell Detection: A Novel Method by Ruchin Gupta, Narendra Kumar, Sunil Kumar, Jitendra Kumar Seth

“…The quality of source code is negatively impacted by code smells. …”
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A novel CFD-MILP-ANN approach for optimizing sensor placement, number, and source localization in large-scale gas dispersion from unknown locations by Yiming Lang, Michelle Xin Yi Ng, Kai Xiang Yu, Binghui Chen, Peng Chee Tan, Khang Wei Tan, Weng Hoong Lam, Parthiban Siwayanan, Kek Seong Kim, Thomas Shean Yaw Choong, Joon Yoon Ten, Zhen Hong Ban

“…The source localization model was again realized by the ANN model with optimized sensors data. …”
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EISPY2D: An Open-Source Python Library for the Development and Comparison of Algorithms in Two-Dimensional Electromagnetic Inverse Scattering Problems by Andre Costa Batista, Ricardo Adriano, Lucas S. Batista

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Optimization of Almond Beverage Enriched with Omega-3 Fatty Acids by Adding Brown Flaxseeds (Linum usitatissimum L.) Using D-Optimal Mixing Diagram Method by Zeinab El Hajj Hussein, Jiuliane Martins Silva, Matheus Campos Castro, Nathalia Elias Borges, Bruno Henrique Figueiredo Saqueti

“…Following preliminary tests, the beverage was optimized using the mixing method to determine the ideal proportions of the ingredients. …”
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Optimization of Energy-saving Operation Strategy of Heat Pump Hot-water System Using Stochastic Load Prediction by Liu Chengning, Liang Xingyu, Shao Liangliang, Zhang Chunlu

“…The energy-saving properties of the optimization method were verified and analyzed using an air-source heat pump hot-water system. …”
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A Novel Renewable Energy Scenario Generation Method Based on Multi-Resolution Denoising Diffusion Probabilistic Models by Donglin Li, Xiaoxin Zhao, Weimao Xu, Chao Ge, Chunzheng Li

“…Scenario generation technology has emerged as a critical tool to quantify uncertainty and support dispatch optimization. Nevertheless, conventional scenario generation methods often fail to produce highly credible wind and solar output scenarios. …”
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Multi-Objective Optimization of Buildings’ Exterior Wall Insulation Based on Comprehensive Analysis Models and Assessment Indexes by Haitao Wang, Zhu He, Chengzhou Guo

“…The presented multi-objective optimization method is very helpful in solving the complex engineering problem of optimizing external wall insulation.…”
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Optimizing PV Power Output with Higher-Voltage Modules: A Comparative Analysis with Traditional MPPT Methods by P. Rathi Devi, P. Sivakumar, P. Arokiya Prasad

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