A distributed week-ahead scheduling method for the charging / discharging of plug-in electric vehicles integrated into the grid by Yan Cui, Zechun Hu, Yujian Wan, Junsong Li, Chengcheng Shao, Zhiyuan Bao, Xiaoyu Duan

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Data-driven and physics-constrained acoustic holography based on optimizer unrolling by Pagavino Manuel, Zotter Franz

“…The network retrieves the strengths of equivalent sources from measurements by unrolling an iterative optimizer, whose regularizing parameters are inferred via supervised learning. …”
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Mathematical model of optimal placement of a hybrid power plant with a combined cycle by Ahmed Z. Abass, D. A. Pavlyuchenko, V. M. Less

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Research on Configuration Optimization and Control Methods for Mid-Deep Geothermal Heat Pumps Coupled with Air-Source Heat Pump Systems for Space Heating in Residential Buildings by Yanhui Wang, Jiewen Deng, Yangyang Su, Chenwei Peng, Minghui Ma, Yin Chen, Lei Fan, Min Chen, Qingpeng Wei, Hui Zhang

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Incremental Crowd-Source Data Fusion and Map Update Method Based on Driving Data for Traffic Signs by H. Hu, H. Wu, S. Huang, W. Huang, C. Liu

“…The experiments in Shanghai show that the matching method can meet the matching requirements of crowd-source updating; the accuracy of the traffic sign positions after position optimization and crowd-source fusion is obviously improved, with an average plane error of 3.69 m and a standard deviation of error of 3.29 m, which can provide data support for crowd-source updating of the HD map.…”
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Spectral Design Method to Simulate Tunable Spectra of Various Light Sources Based on Multi-Channel LEDs by Zijian Tao, Xiaojie Zhao, Shanshan Li, Qi Dai

“…Using a single light source to simulate tunable spectra of various light sources, such as International Commission on Illumination (CIE) standard illuminants, has attracted great interest. …”
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ADVANCED TECHNOLOGY OF LUMINOPHOR SCREENS FOR SOLID RADIOLUMINESCENT LIGHT SOURCES by E. V. Zelenina, E. A. Pechertseva, V. V. Bakhmetyev, M. M. Sychov

“…The article observes different methods of coating the phosphor screens on the tritiated titanium matrices for creating the solid-state radioluminescent light sources (SRLS). …”
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FEATURE EXTRACTION METHOD OF SOUND SIGNAL TO ROLLING BEARING BASED ON BLIND SOURCE SEPARATION AND MORLET WAVELET by LI JingJiao, CHEN EnLi, LIU YongQiang

“…It is a new method of sound signal testing and analysis,but the SNR is too low,so we raise a feature extraction method of sound signal to rolling bearing based on blind source separation and adaptive Morlet wavelet. …”
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Inversion of electric field component Ex in the SOTEM method based on the improved particle swarm optimization algorithm by Jifeng ZHANG, Changjian CHEN, Yuteng LI, Xiran YOU, Ziben MA

Subjects: “…grounded-source short-offset transient electromagnetic (sotem) method…”
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Optimization of Intelligent Distribution of Distribution Network in the Presence of Distributed Sources by Youle Song, Ding Nie, Litao Fan

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Research on optimal power source for passenger transport eVTOL by Shigetoshi TOKUOKA, Yoshiki YAMAGATA, Yoshiaki OHKAMI

“…Our findings suggest that without the use of SAF, the battery system covered 43% of the 23 scenarios as an optimal power source. Meanwhile, when the SAF mixing ratio reached 50%, the series hybrid system was identified as the optimal and more versatile power source in 70% of scenarios.…”
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Uncertainty evaluation and model optimization in multi-source reservoir modeling by Pingshan Ma, Chengyan Lin, Haocheng liu, Shaohua Li, Shun Wang

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Twinkle: A GPU-based Binary-lens Microlensing Code with the Contour Integration Method by Suwei Wang, Lile Wang, Subo Dong

“…We also devise an improved method for robustly identifying ghost images, thereby enhancing computational reliability. …”
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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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Improving Forest Above-Ground Biomass Estimation Accuracy Using Multi-Source Remote Sensing and Optimized Least Absolute Shrinkage and Selection Operator Variable Selection Method by Er Wang, Tianbao Huang, Zhi Liu, Lei Bao, Binbing Guo, Zhibo Yu, Zihang Feng, Hongbin Luo, Guanglong Ou

“…From another perspective, they also demonstrated that the RX sample count and sensitivity provided by LiDAR, as well as the Horizontal Transmit, Vertical Receive provided by Microwave Radar, along with the feature variables (Mean, Contrast, and Correlation) calculated from the Green, Red, and NIR bands of optical remote sensing in 7 × 7 and 5 × 5 windows, play an important role in forest AGB estimation. Therefore, the optimized Lasso variable selection method shows strong potential for forest AGB estimation using multi-source remote sensing data.…”
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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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Forest canopy closure estimation in mountainous southwest China using multi-source remote sensing data by Wenwu Zhou, Wenwu Zhou, Qingtai Shu, Cuifen Xia, Li Xu, Qin Xiang, Lianjin Fu, Zhengdao Yang, Shuwei Wang

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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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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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