Investigation of a horizontal low power wind turbine by S. Yu. Shamanin, V. L. Blinov, V. V. Savchenko, Yu. M. Brodov

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Predicting Three-Dimensional (3D) Printing Product Quality with Machine Learning-Based Regression Methods by Ahmet Burak Tatar

“…Machine learning-based regression models were employed to optimize product quality. The open-source "3D Printer Material Requirement" dataset obtained from the Kaggle platform was utilized to predict product quality. …”
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A Comprehensive Review on Uncertainty and Risk Modeling Techniques and Their Applications in Power Systems by Peyman Afzali, Seyed Amir Hosseini, Saeed Peyghami

“…The results show Monte Carlo simulation combined with the K-Means method is consistently a more accurate uncertainty model for wind speeds, closely aligning with real-case scenarios, compared to other methods such as Markov Chain Monte Carlo (MCMC), robust optimization (RO), and information-gap decision theory (IGDT).…”
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Optimization of Odorous Compounds Analysis in Water Using Headspace-SPME and GC-MSD, and Detection Characteristics in the Nakdong River Basin by Heejong Son, Pilkyeong Lee, Goeun Kim, Seongho Jang, Byungryul An

“…Furthermore, continuous research is needed on various odorous compounds beyond the 10 odorous compounds in this study, including the optimization of analytical methods and the detection characteristics in water sources.…”
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The Optimization of Supply–Demand Balance Dispatching and Economic Benefit Improvement in a Multi-Energy Virtual Power Plant within the Jiangxi Power Market by Tang Xinfa, Wang Jingjing, Wang Yonghua, Wan Youwei

“…The method takes into account the characteristics and uncertainties of renewable energy sources such as solar and wind energy, and incorporates advanced multi-objective optimization algorithms. …”
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Geospatial Spatiotemporal Analysis of Tourism Facility Attractiveness and Tourism Vitality in Historic Districts: A Case Study of Suzhou Old City by Mi Zhou, Jianqiang Yang

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Hierarchical deep Q-network-based optimization of resilient grids under multi-dimensional uncertainties from extreme weather by Shimeng Dong, Chao Wang, Yan Zhang, Yanan Wang, Xiaodong Zhang, Linrun Guo, Liwei Ju

“…This paper introduces an innovative optimization framework leveraging Deep Q-Networks (DQN) to integrate renewable energy sources, energy storage systems, and advanced resilience metrics into a cohesive decision-making model. …”
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Energy Management of Industrial Energy Systems via Rolling Horizon and Hybrid Optimization: A Real-Plant Application in Germany by Loukas Kyriakidis, Rushit Kansara, Maria Isabel Roldán Serrano

“…Industrial energy systems are increasingly required to reduce operating costs and CO₂ emissions while integrating variable renewable energy sources. Managing these objectives under uncertainty requires advanced optimization strategies capable of delivering reliable and real-time decisions. …”
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Optimized ultrasound-assisted extraction for phenolic and antioxidant analysis in purple senggani (Melastoma malabathricum) flowers: Influence of developmental stages by Dea Tio Mareta, Umar Santoso, Supriyadi, Widiastuti Setyaningsih

“…This study aimed to optimize the UAE method to analyze phenolic compounds across different flower developmental stages, which affect total phenolic content (TPC) and total antioxidant capacity (TAC). …”
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Dual-layer scheduling coordination algorithm for power supply guarantee using multi-objective optimization in spot market environment by Xuanyuan Wang, Xu Gao, Zhen Ji, Wei Sun, Bo Yan, Bohao Sun

“…Price fluctuations, the intermittency and uncertainty of renewable energy sources, and stringent environmental constraints make traditional dispatch methods inadequate. …”
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Optimization growth performance and intestinal characteristics of broiler through the use of zeolite and bioherbal-based mycotoxin binders as feed additives. by Ibrahim Ibrahim, Muhammad Halim Natsir, Osfar Sjofjan, Irfan Hadji Djunaidi, Agus Susilo, Muhaimin Rifa'i, Hafsah Hafsah

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Lantern-Explorer: A Collision-Avoidance Autonomous Exploration Drone System Based on Laser SLAM with Optimized Hardware and Software by L. Zhu, L. Zhu, R. Zhong, R. Zhong, D. Xie, D. Xie, X. Yuan, X. Yuan

“…Compared with existing platforms and methods, Lantern-Explorer demonstrated significant advantages in both exploration efficiency and mapping accuracy. …”
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Research Progress on the Preparation of Elastin Peptides and Their Effect on Delaying Skin Aging by Jing SHI, Shuping MA, Shunfeng TIAN, Yongkang LUO, Yanfei JIANG, Chunyue ZHAO

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Water-Soluble Vitamins: Hypo- and Hypervitaminosis in Pediatric Population by Roberto Paparella, Fabiola Panvino, Lucia Leonardi, Ida Pucarelli, Michela Menghi, Ginevra Micangeli, Francesca Tarani, Marcello Niceta, Debora Rasio, Rouzha Pancheva, Marco Fiore, Luigi Tarani

“…This review explores the clinical importance of water-soluble vitamins, focusing on hypo- and hypervitaminosis in children. Methods: A narrative review of the recent literature on the sources, recommended intakes, deficiency symptoms, and potential toxicities associated with each water-soluble vitamin was conducted. …”
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The Dispersion Measure and Scattering of Fast Radio Bursts: Contributions from Multicomponents, and Clues for the Intrinsic Properties by Jian-feng Mo, Weishan Zhu, Long-Long Feng

“…Scattering predominantly arises from the circumburst medium or the ISM and CGM of hosts, which cause a DM of ∼10 pc cm ^−3 . Using our optimal model, we estimate FRB redshifts with two methods: DM-only and combined DM– τ . …”
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Machine learning and optimization in hybrid energy storage systems: Integrating MPC, PSO, MILP, and ANN for grid stability and efficiency by Rajesh M. Bhagat, Dilendra B. Jasutkar, Amitkumar B. Ranit, Vikrant S. Vairagade, Balram Yelamasetti, Sagar D. Shelare, Shubham Sharma, Abinash Mahapatro, V.K. Bupesh Raja, Quadri Noorulhasan Naveed, Naoufel Kraiem, Saiful Islam, Jasmina Lozanovic

“…Hybrid Energy Storage Systems (HESS) can provide solutions for grid stability and integration of renewable energy sources. A novel model integrating Model Predictive Control (MPC), Particle Swarm Optimization (PSO), Mixed-Integer Linear Programming (MILP), and Artificial Neural Networks (ANN) is developed to optimize HESS performance. …”
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Algorithms Facilitating the Observation of Urban Residential Vacancy Rates: Technologies, Challenges and Breakthroughs by Binglin Liu, Weijia Zeng, Weijiang Liu, Yi Peng, Nini Yao

“…We also elaborate on the optimization methods of algorithms for different data sources. …”
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Research on Distribution Network Security Analysis Based on K(N-1+k) Criterion and Rank Preference Optimal Ordering by Wang Zengping, Yao Yuhai, Yu Junya, Yun Chentai

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Low‐carbon optimal scheduling strategy for multi‐agent integrated energy system of the park based on Stackelberg–Nash game by Yanbo Chen, Jiaqi Li, Zhe Fang, Ning Zhang, Tao Huang, Zuomao Chen

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Big data classification method of non relational distributed submission information under differentiated requirements by Lu HAN, Weiyu CHEN, Fei ZHANG, Jianfeng HE, Huaizhen SU

“…The classification method of non-relational distributed submitted information big data under the differentiated demand was studied, aiming at the problem of multi-source heterogeneous, widely distributed submitted information with more differentiated application requirements and inability to distinguish the available information.Firstly, the usability, openness and expansibility of the non-relational distributed submission information database were analyzed.The unstructured database storage TRIP was used to store non-relational distributed submission information by combining the basic requirements of field types.Then, the hashing process within the Hamming hash family was analyzed.Under the constraint of linearity level requirements, cellular automata with multiple attractors were used to optimize the system.The optimal parameters of the multiple attractor cellular automata classifier were improved through genetic algorithm, thus improving the big data classification method.Experimental results show that this method can effectively identify and classify structured data and unstructured data in non relational distributed submission information, and has high classification accuracy.…”
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