A brief comparison of algorithms and methods for optimization of electric vehicles charging strategies by Arpita Bharti, Rajeev Kumar Chauhan

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Multi energy dynamic soaring trajectory optimization method based on reinforcement learning by ZHANG Yunfei, WANG Honglun, ZHANG Menghua, GONG Yinan

“…The experiments initially validate the approach through simulation of two classic modes of dynamic soaring, followed by Monte Carlo simulations considering multiple energy sources. The results indicate that the dynamic soaring trajectory optimization method based on deep reinforcement learning achieves energy acquisition comparable to optimal outcomes within a single soaring cycle, with a 91% reduction in real-time inference decision time. …”
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An optimization method of multiscale storage tank target detection introducing an attention mechanism by Wenjia Sun, Chunchun Hu, Nianxue Luo, Qiansheng Zhao

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Optimization Method of Generation Rights Transaction Mechanism for Power System Accommodation Improvement by Haoliang XU, Panrun JIN, Jiheng JIANG, Zongxiang LU, Ying QIAO

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Research on Nonlinear Error Compensation and Intelligent Optimization Method for UAV Target Positioning by Yinglei Li, Qingping Hu, Shiyan Sun, Wenjian Ying, Xiaojia Yan

“…This study proposes an error allocation method based on the improved raccoon optimization algorithm (KYCOA) to resolve the problem of degradation of positioning accuracy due to multi-source error coupling during UAV target positioning. …”
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A load margin calculation method considering optimized reactive power support by Yuejian Wu, Xiaoming Dong, Tianguang Lu, Shunxiang Yu, Chengfu Wang, Zhengshuo Li

“…However, reactive power optimization for traditional and emerging forms of reactive power sources is ignored in conventional methods to calculate load margin (LM), which could cause conservative results or even decision-making misplay. …”
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Research methods of car body design optimizing for improving vehicle vibroacoustic performances by Batizi V.M., Likhachev D.S.

“…The need to improve vibration protection systems, to conduct vibroacoustic analysis and develop new methods for optimizing vehicle vibrations as a whole is a modern and urgent task for the automotive industry.In the research work, we investigated vibration and noise problems associated with the integration of the transmission of the vehicle body, as defined methods to improve vibration isolation properties of the vehicle by optimizing vehicle body stiffness characteristics.The practical significance of the work is to identify recommendations for reducing the vibration loads transmitted to the driver, which will make it possible to make optimal technical decisions in the early stages of the development of the vehicle body.Using engineering analysis or combined methodologies, the process for optimizing the vibroacoustic characteristics of the vehicle should be based on a systematic approach and evaluate the appropriate compromise between a high level of safety, weight reduction, ensuring vehicle fuel economy and customer requirements such as controllability and vibroacoustic comfort.In the article, based on the analysis of literary sources, vibroacoustic phenomena associated with various transmission components and subsystems are identified. …”
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A capacity allocation model for source-side shared energy storage considering multiple typical scenarios by YAN Limei, HU Jianan, ZHAO Shuqi

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DENTAL IMPLANTATION AS A METHOD OF OPTIMIZING TREATMENT OF PATIENTS WITH COMPLETE DENTAL TEETH by O.V. Dobrovolskaya

“…The development of new methods of surgical interventions and prosthetics, the creation of new implant systems help us to increase the life of dentures on implants and to improve the quality of life of patients. …”
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AUTONOMOUS POWER SUPPLY SYSTEMS WITH RENEWABLE SOURCES OF ENERGY AND SMART GRID by L. M. Chetoshnikova, N. I. Smolentsev, S. A. Chetoshnikov, G. V. Gusarov

“…Especially effective in this direction will be the construction of autonomous systems using renewable energy sources and local smart grids. The coordinated work of all elements of systems and optimal control of energy flows is solved by mathematical modeling methods.…”
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Optimizing cyanobacterial hydrogen production: metabolic and genetic strategies with glycerol supplementation by Ayshat M. Bozieva, Makhmadyusuf K. Khasimov, Mahipal S. Rao, Maria A. Sinetova, Roman A. Voloshin, Dmitry O. Dunikov, Dmitry O. Dunikov, Anatoly A. Tsygankov, Yoong Kit Leong, Yoong Kit Leong, Jo-Shu Chang, Jo-Shu Chang, Jo-Shu Chang, Jo-Shu Chang, Suleyman I. Allakhverdiev, Suleyman I. Allakhverdiev, Suleyman I. Allakhverdiev, Barry D. Bruce, Barry D. Bruce, Barry D. Bruce

“…However, improving hydrogen yields requires strategic metabolic and genetic modifications to optimize energy flow and overcome photosynthetic limitations.MethodsFour cyanobacterial species were evaluated for their hydrogen production capacities under varying experimental conditions. …”
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Comprehensive review of energy management strategies: Considering battery energy storage system and renewable energy sources by Obed N. Onsomu, Erman Terciyanlı, Bülent Yeşilata

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Multi-time scale source and load intelligent scheduling method for distribution network based on multi-agent game by Tang Junci, Li Tie, Pi Junbo, Wang Mingkai

“…Considering that the user demand will affect the effect of multi-time scale source load intelligent dispatching in distribution network to a certain extent, a multi-agent game based multi-time scale source load intelligent dispatching method is proposed. …”
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Open-source electronics Arduino platform for soil water measurement with the dual-probe heat-pulse (DPHP) method by Shinsuke Aoki, Tamir Kamai

“…In this manuscript, we report on implementation of this method using a custom-made inexpensive open-source electronic hardware measurement system, based on the Arduino Uno platform. …”
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Solving the Single-Source Capacitated Facility Location Problem Using a Crow Search-Based Hybrid Method by Wangyue Xu, Martino Luis, Baris Yuce

“…The Single Source Capacitated Facility Location Problem (SSCFLP) stands as a pivotal yet highly complex challenge in facility location science, underpinning real-world supply chains where single-sourcing constraints are critical for service quality and operational efficiency. …”
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Research on multi-stage optimization planning of power internet of things based on seagull optimization algorithm by Peng Ye, Guanxian Liu, Shuo Yang, Shaotao Guo, Huan Wang, Yi Zhao, Mingli Zhang

“…The method models the IES based on electric, gas, and thermal buses, considering the coupling, storage, and conversion of multiple energy sources. …”
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A Multi-Source Domain Adaptation Method for Bearing Fault Diagnosis with Dynamically Similarity Guidance on Incomplete Data by Juan Tian, Shun Zhang, Gang Xie, Hui Shi

“…In actual industrial scenarios, collecting a complete dataset with all fault categories under the same conditions is challenging, leading to a loss in fault category knowledge in single-source domains. Deep learning domain adaptation methods face difficulties in multi-source scenarios due to insufficient labeled data and significant distribution differences, hindering domain-specific knowledge transfer and reducing fault diagnosis efficiency. …”
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Leveraging Open-Source Large Language Models for Data Augmentation in Hospital Staff Surveys: Mixed Methods Study by Carl Ehrett, Sudeep Hegde, Kwame Andre, Dixizi Liu, Timothy Wilson

“…MethodsThe surveys were designed to elicit narratives of everyday adaptation by frontline radiology staff during the initial phase of the COVID-19 pandemic. …”
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Multi-Source, Fault-Tolerant, and Robust Navigation Method for Tightly Coupled GNSS/5G/IMU System by Zhongliang Deng, Zhichao Zhang, Zhenke Ding, Bingxun Liu

“…However, frequent multi-sensor faults, including missing alarm thresholds, uncontrolled error accumulation, and delayed warnings, hinder the adaptability of navigation systems to the dynamic multi-source information of complex scenarios. This study introduces an advanced, tightly coupled GNSS/5G/IMU integration framework designed for distributed PNT systems, providing all-source fault detection with weighted, robust adaptive filtering. …”
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Enhanced COVID-19 Optimization Algorithm for Solving Multi-Objective Optimal Power Flow Problems with Uncertain Renewable Energy Sources: A Case Study of the Iraqi High-Voltage Gri... by Basim ALBaaj, Orhan Kaplan

“…This paper introduces an enhanced version, the enhanced COVID-19 optimization algorithm (ENHCOVIDOA), designed to improve the performance of the original method. …”
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