Optimizing context-based location extraction by tuning open-source LLMs with RAG by Zifu Wang, Yahya Masri, Anusha Srirenganathan Malarvizhi, Tayven Stover, Samir Ahmed, David Wong, Yongyao Jiang, Yun Li, Mathieu Bere, Daniel Rothbart, Dieter Pfoser, David Marshall, Chaowei Yang

“…Extracting the geographic locations from text within their contexts is challenging, even with Natural Language Processing (NLP) tools and the latest Large Language Models (LLMs). We propose to optimize LLMs using Retrieval-Augmented Generation (RAG) and prompt-tuning methods, such as zero-shot and instruction-based prompting to improve the precision of extracting location information from news. …”
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Optimal Design of Interior Permanent Magnet Synchronous Motor Considering Various Sources of Uncertainty by Giacomo Guidotti, Dario Barri, Federico Soresini, Massimiliano Gobbi

“…Different designs of a 48 slot–8 pole motor are simulated with finite element analysis, then the outputs are used to train artificial neural networks that are employed to find the optimal design with different approaches. The method incorporates an innovative use of the neural network-based variance estimation (NNVE) technique to efficiently calculate the standard deviation of the objective functions. …”
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End-to-End Collaborative Optimization Method for Microgrid Power Prediction and Optimal Scheduling by ZHANG Li, WANG Bao, JIA Jianxiong, SONG Zhumeng, YE Yutong, YU Yue, LIN Jiaqing, XU Xiaoyuan

“…Microgrids, as one of the effective methods for integrating new energy sources, play a crucial role in the new-type power systems. …”
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Optimization of capacity configuration design for a composite system combining medium-deep ground source heat pump with auxiliary heat source by Guangqiu Zhang, Jintang Li, Ji Li, Zongyu Sun

“…To address this issue, this study proposes a composite system combining MGSHP with an auxiliary heat source. Given its recent development, optimized configuration designs remain relatively unexplored Therefore, this study establishes an optimization model for the composite system by simulating typical engineering projects using dynamic methods based on building heat load data. …”
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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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An Evidential Solar Irradiance Forecasting Method Using Multiple Sources of Information by Mohamed Mroueh, Moustapha Doumiati, Clovis Francis, Mohamed Machmoum

“…This study proposes an innovative approach to solar irradiance forecasting based on the theory of belief functions, introducing a novel and flexible evidential method for short-to-medium-term predictions. The proposed machine learning model is designed to effectively handle missing data and make optimal use of available information. …”
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Review of communication optimization methods in federated learning by YANG Zhikai, LIU Yaping, ZHANG Shuo, SUN Zhe, YAN Dingyu

“…Therefore, the exploration of communication optimization methods for federated learning has become a hot topic. …”
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Analysis of methods for selection of optimal parameters of stack by K. M. Mirsalikhov, A. M. Gribkov, N. D. Chichirova

“…However, none of the considered methods for choosing the main dimensions of the stack is based on determining the optimal gas outlet rate based on the technical and economic analysis. …”
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Determination of Pipe Diameter Using Optimization Method by Pavlov Mikhail Vasilyevich, Vafaeva Khristina Maksudovna, Karpov Denis Fedorovich, Bhatnagar Sanjay, Kommanaboina Uma Shankar, Sharma Dikshit, Singh Digvijay, Sateesh N., Singh Pankaj Kumar

“…During the design phase of engineering networks, a critical issue remains the selection of pipe diameters that minimize capital investments for transporting the heat carrier from the heat source to the consumers. Object of study: a pressurized pipeline of circular cross-section with a moving heat carrier. …”
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A decision-making method for optimal sizing of a sustainable residential building via a multi-objective optimization method by Soroush Mousavi, Mohammad Hossein Jahangir, Alibakhsh Kasaeian

“…A multi-criteria decision-making (MCDM) method was used to identify the optimal solution among various alternatives. …”
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Optimizing fully-efficient two-stage models for genomic selection using open-source software by Javier Fernández-González, Julio Isidro y Sánchez

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UAV launch methods by Oleksandr Dobrodomov, Vladyslav Proroka, Oleksii Kulyk

“…With the continuous introduction of new UAV types, understanding the most effective launch methods for each specific case is paramount. The objective of this study is to systematically structure and analyze UAV launch methods based on various parameters, providing a comprehensive framework for selecting the optimal launch approach for any given UAV application.Systematization was conducted based on the following parameters: UAV mass and dimensions, flight speed, launch site infrastructure availability, weather conditions, cost of launch device and operation, UAV production scale, other specific requirements. …”
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Optimized Method for Solving Boltzmann Transport Equations in Subgroup Method of Resonance Treatment by Song Li, Lei Liu, Yongfa Zhang, Qian Zhang, Qi Cai

“…This study presents an optimized subgroup transport equation solving method to enhance the computational efficiency of resonance calculations in high-fidelity reactor core simulations. …”
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SELECTION FEATURES OF THE FIELDS REPRESENTATION FOR THE ADDITIONAL SOURCES OF THE PARTIAL DOMAINS by A.P. ZVEREV

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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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Service Restoration in Distribution Networks by Optimal Scheduling of Repair Crew and Mobile Power Sources by Qasem Asadi, Hamid Falaghi, Ali Ashoornezhad, Maryam Ramezani

“…In this method, repair crew (RC) and mobile power sources (MPSs) are also important for the restoration process. …”
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Graph reinforcement learning-driven source-load cooperative scheduling optimization for textile production by Tianhao Tan, Tao Wu, Jie Li, Yuyuan Lan, Jinsong Bao

“…This research proposes a graph reinforcement learning-driven source-load collaborative optimization method. Based on a domain knowledge graph fusing textile production processes, equipment status, and energy consumption relationships, the method explicitly characterizes the heterogeneous correlation of the source-load system. …”
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Spatially multiplexed single-photon sources based on binary-tree multiplexers with optimized structure by Matyas Mechler, Peter Adam

“…Abstract We develop a method for optimizing the structure of general binary-tree multiplexers realized with asymmetric photon routers aiming at improving the performance of spatially multiplexed single-photon sources. …”
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Multi-Source Pansharpening of Island Sea Areas Based on Hybrid-Scale Regression Optimization by Dongyang Fu, Jin Ma, Bei Liu, Yan Zhu

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Coordinated Optimal Scheduling of Source and Load in Integrated Energy System Considering Flexible Resources by Funian HU, Pengcheng ZHANG, Xiaobo ZHOU, Jun CHEN

“…In order to improve the flexible adjustment ability of IES and the consumption level of renewable energy, this paper proposes an IES source-load coordination optimization scheduling method considering flexible resources. …”
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