Loss Function Optimization Method and Unsupervised Extraction Approach D-DBSCAN for Improving the Moving Target Perception of 3D Imaging Sonar by Jingfeng Yu, Aigen Huang, Zhongju Sun, Rui Huang, Gao Huang, Qianchuan Zhao

“…For rapid data annotation, a batch annotation method combining human expertise and multi-frame superposition is proposed. …”
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Optimization of Medium Composition for Streptomyces sp. PB2 Chitinase Production using Response Surface Methodology by Anandita Perwita Kurniawan, Indun Dewi Puspita, Amir Husni

“…PB2 using the Response Surface Method. Initial screening was done to determine additional carbon and nitrogen sources in colloidal chitin broth suitable for increasing chitinase activity. …”
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HVAC/DC system reliability evaluation based on improvement point estimation method by Jiaqi ZHAO, Ning FENG, Yue WANG

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Battery Sizing Method for Microgrids—A Colombian Application Case by Andres Felipe Zamora-Muñoz, Martha Lucia Orozco-Gutierrez, Dany Mauricio Lopez-Santiago, Jhoan Alejandro Montenegro-Oviedo, Carlos Andres Ramos-Paja

“…The introduction of renewable energy sources in microgrids increases energy reliability, especially in small communities that operate disconnected from the main power grid. …”
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Analysis of the Impact of Renewable Energy Sources and Energy Storage Systems on Multi-Stage Transmission Network Expansion Planning by Mario D. Pastrana, Juan Carlos Cortez, Juan Camilo Lopez, Marina Lavorato, Marcos J. Rider

“…An extensive analysis of the impact of RES and ESSs on MTNEP is presented. Simultaneous optimization of TLs and ESSs provides better and cheaper MTNEPs compared to traditional methods. …”
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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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Optimal DC-Link Voltage Mapping for SiC-Based EV Drives: Considering the Impact of a Synchronous Boost Converter by Sepideh Amirpour, Torbjorn Thiringer, Sima Soltanipour, Yu Xu

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A data driven framework for optimizing droplet microfluidics with residual block and Fourier enhanced networks by Alireza Samari, Kamal Jannati, Azadeh Jafari

“…To facilitate practical applications, we developed DesignFlow—an open-source platform that automates the design and optimization of microfluidic devices. …”
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A Multi Source Data-Based Method for Assessing Carbon Sequestration of Urban Parks from a Spatial–Temporal Perspective: A Case Study of Shanghai Century Park by Yiqi Wang, Jiao Yu, Weixuan Wei, Nannan Dong

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Recent Progress in Multiplexed Single-Photon Sources by Peter Adam, Matyas Mechler

“…We also summarize the recent results on the theoretical description and optimization of multiplexed single-photon sources, focusing on the procedures and methods that enable the improvement of the performance of these sources.…”
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LOCAL HEIGHT CALCULATION ERRORS IN THE PLANET SURFACE RELIEF RETRIEVED FROM IMAGES BY THE IMPROVED PHOTOCLINOMETRY METHOD by I. A. Dulova, N. V. Bondarenko

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Exploration of comprehensive two-dimensional liquid chromatography: Theoretical aspects and practical considerations - A tutorial by Katia Arena, Francesco Cacciola, Roberto Laganà Vinci, Paola Dugo, Luigi Mondello

“…The profits of such a technique, compared to the 1D-LC approach, are the increased resolving power along with significant reduced ion enhancement or suppression phenomena in the MS source. This tutorial aims to provide detailed information on theoretical and practical aspects of the LC×LC approach with a particular focus on column combination, method optimization and separation performance. …”
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Performance evaluation, prediction analysis and optimization of experimental ORC using artificial neural networks (ANN) by Diki Ismail Permana, Federico Fagioli, Maurizio De Lucia, Dani Rusirawan, Istvan Farkas

“…While many experimental studies on ORC have been conducted, significant gaps remain in accurately predicting unknown or unmeasured data and identifying optimal operating conditions. This research addresses these challenges using machine learning, specifically an artificial neural network (ANN), a self-learning and nonlinear method capable of approximating complex functions, making it ideal for ORC prediction models. …”
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Valorization of Edible Oil Industry By-Products Through Optimizing the Protein Recovery from Sunflower Press Cake via Different Novel Extraction Methods by Christoforos Vasileiou, Maria Dimoula, Christina Drosou, Eleni Kavetsou, Chrysanthos Stergiopoulos, Eleni Gogou, Christos Boukouvalas, Magdalini Krokida

“…Extraction parameters were optimized using response surface methodology (RSM) for each method. …”
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Alternative Energy Sources Usable in Automotive Transport by Jiří Zukal, Zoltán Szabó, Miloš Klíma, Pavel Fiala

“…The concept of alternative sources is based on known methods of use in other industries. …”
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Neural Network-Based Coordinated Virtual Inertia Allocation Method for Multi-Region Distribution Systems by Heng Liu, Jingtao Zhao, Zhi Wu, Shu Zheng

“…Therefore, this study provides a foundational method and a feasible approach to multi-area virtual inertia optimization allocation in the new distribution system, contributing to frequency support via virtual inertia in distribution network optimization operation.…”
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Data-driven robust optimization for energy and reserve scheduling considering multi-uncertainty by Zuqing Zheng, Guo Chen, Zixiang Shen, Zhaoyang Dong

“…The intermittency of renewable energy sources and unscheduled outages threaten power system security, increasing the need for operational flexibility. …”
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Faulted Line Segment Location Method for Low-Voltage Distribution Network Based on Adjacency Matrix by Yongfeng YAO, Qizhe WANG, Huiping WANG, Jia JIA, Xibin XIA

“…The monitoring information of the fault monitoring unit is calculated according to the shortest path from the power source to the estimated fault line section. Based on these works, the fault line segment location model of low-voltage distribution network considering multiple faults is developed, and the particle swarm optimization algorithm is used to solve the model. …”
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OPTIMAL OPERATION OF ELECTRICAL POWER GENERATORS FOR OIL WELLS OPERATED BY ARTIFICIAL LIFTING AT RUMILA FIELD by Majid Abdulhameed Abdulhy Al-Ali, V. Yu. Kornilov, A. G. Gorodnov

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Optimal cascade 2DOF fractional order master-slave controller design for LFC of hybrid microgrid systems with EV charging technology by Amira Hassan, Mohamed M. Aly, Ali Selim, Ahmed Elmelegi, A.O. Aldhaibani, Emad A. Mohamed

“…For instance, the MPA method has a minimized ITAE after 30 iterations of 0.027 compared to 0.0276 with MRFO, 0.0282 with ABC, and 0.034 with PSO optimizer. …”
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