Hybrid-Timescale Robust Optimization in Active Distribution Network with Energy Storage System-Soft Open Point by Qiushi RU, Xuefeng MI, Zhigang SONG, Jintao LIU, Xia LEI

“…The model ensures the system voltage stability and balances the distribution of power source and load in the distribution network. Finally, the modified IEEE 33 bus system is utilized to verify the effectiveness of the proposed method.…”
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Redution of Overvoltages under Connection on a High-Voltage Cable Line Due to Optimal Controlled Switching by Lobodzinskiy V., Buryk N., Spinul L., Chibelis V., Illina О.

“…The most significant result is the method of numerical simulation of the cable line that allows you to analyze transients when each phase of a three-phase cable line is connected to a three-phase source with a time delay, the switching angle of all phases is zero. …”
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Optimizing PV Panel Segmentation in Complex Environments Using Pre-Training and Simulated Annealing Algorithm: The JSWPVI by Rui Zhang, Ruikai Hong, Qiannan Li, Xu He, Age Shama, Jichao Lv, Renzhe Wu

“…Photovoltaic (PV) technology, as a crucial source of clean energy, can effectively mitigate the impact of climate change caused by fossil fuel-based power generation. …”
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Optimization of Grassland Carrying Capacity with Grass Quality Indicators Through GF5B Hyperspectral Images by Xuejun Cheng, Maoxin Liao, Shuangyin Zhang, Siying Wang, Yiyun Chen, Teng Fei

“…Previous remote sensing methods have predominantly focused on yield indicators, often neglecting quality indicators, which hampers precise GCC estimation. …”
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Optimization and assessment of an integrated workflow for the isolation and proteomic analysis of small urinary extracellular vesicles (suEVs) by Yilan Hu, Jifeng Wang, Xiaoqing Qing, Tanxi Cai, Lili Niu, Xiang Ding, Zhensheng Xie, Mengmeng Zhang, Xiaojing Guo, Xiulan Chen, Fuquan Yang

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Method-Level Syntactic and Semantic Clustering for Microservice Discovery in Legacy Enterprise Systems by Adambarage Anuruddha Chathuranga de Alwis, Alistair Barros, Colin Fidge, Artem Polyvyanyy

“…Semantically, business objects derived from databases form the basis for prospective clustering of those methods that act on them as modules, while on a syntactic level, structural and interaction details between the methods themselves provide further insights into module dependencies for grouping, based on K-means clustering and optimization. …”
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Hybrid MPPT control using hybrid pelican optimization algorithm with perturb and observe for PV connected grid by Burhan U. Din Abdullah, Suman Lata Dhar, Shiva Pujan Jaiswal, Muhammad Majid Gulzar, Muhammad Majid Gulzar, Mohammad Alqahtani, Muhammad Khalid, Muhammad Khalid

“…IntroductionPhotovoltaic systems offer immense potential as a future energy source, yet maximizing their efficiency presents challenges, notably in achieving optimal voltage due to their nonlinear behavior. …”
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Optimization of thermostable amylolytic enzyme production from Bacillus cereus isolated from a recreational warm spring via Box Behnken design and response surface methodology by Oluwaseun Abosede Adetiloye, Bamidele Ogbe Solomon, Japhael Abel Omolaiye, Eriola Betiku

“…Enhanced amylase activity of 196.02 U/mL was achieved with BBD-RSM under optimal growth conditions of pH of 7, incubation time of 48 h, substrate concentration of 5% w/v of starch, and at 45 °C, a 1.2-fold increase compared to the OFAT method. …”
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Modeling and Analysis of Noise Reduction Method in SPAD-Based LiDAR System by Kai Ma, Tao Yin, Na Tian, Zhe Wang, Tian Zhao, Jian Liu, Nanjian Wu, Liyuan Liu

“…Ambient light interference stands as the primary source of noise encountered by the light detection and ranging (LiDAR) systems based on single-photon avalanche diode (SPAD), which seriously restricts the detection range and accuracy of sensors. …”
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Optimizing Thermal Performance of Mini Heat Exchangers: An Experimental Analysis Using a Full Factorial Design by Sergio da Silva Franco, Álvaro Augusto Soares Lima, Alvaro Antonio Villa Ochoa, José Ângelo Peixoto da Costa, Gustavo de Novaes Pires Leite, Márcio Vilar, Kilvio Alessandro Ferraz, Paula Suemy Arruda Michima

“…The innovation of this study resides in the development and analysis of a mini heat exchanger optimized using chemometric methods to achieve efficient thermal dissipation. …”
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Cultural Heritage Color Regeneration: Interactive Genetic Algorithm Optimization Based on Color Network and Harmony Models by Zhonghua Jiang, Qianlong Xia, Zhizhou Wang, Kaiwei Zhu, Qianyu Su, Jiajun Wang, Yirui Huang, Bo Wu, Yan Hong

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A Novel Method for Determining Optimum Dimension Ratios for Small Rectangular Rooms by Mirosław MEISSNER

“…Thus, to find the best possible dimension ratios, in the numerical procedure the optimal source position was assumed. Calculation results have shown that optimum dimension ratios depend on the room volume and the sound damping inside a room, and for small and medium volumes these ratios are roughly 1 : 1.48 : 2.12, 1 : 1.4 : 1.89 and 1 : 1.2 : 1.45. …”
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Halal tourism development strategy for optimizing local revenue and economic growth in the tourism sector in Bangkalan Regency by Mochammad Isa Anshori, Alvin Sugeng Prasetyo, Ahmad Kamil

“…This study uses the SWOT method to analyze the right development strategy for halal tourism in Bangkalan Regency. …”
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Study on Structural Optimization and Thermal Management Performance of Embedded Composite Cooling Plate Based on Wavy Channel by 蔡云翔, 孙 钦, 张博博, 顾晓滨, 张衍俊, 董凯军

“…The validity of the numerical model was verified by the temperature experiment on the manufactured cooling plate. Based on the optimal cooling plate structure, the heat generation of lithium batteries during 3 C rate operation was equated using a surface heat source, and the effects of several delayed-start strategies for liquid cooling based on the PCM liquid phase fraction on the thermal management performance were discussed. …”
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Ant Colony Optimization for Jakarta Historical Tours: A Comparative Analysis of GPS and Map Image Approaches by Gabriel Bodhi, Charleen, Devi Fitrianah

“…The ant colony optimization (ACO) algorithm is implemented in several topics, particularly in solving combinatorial optimization problems. …”
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Potential accuracy of quasi-optimal radar meters of angular coordinates with scanning multi-channel antenna system by S. V. Kozlov, Vu Thanh Ha

“…In case of large correlation intervals, the distribution significantly differs from normal and acquires a large positive kurtosis and asymmetry with their values depending on the angular differences of the interference source and the target. The obtained expressions can be used to evaluate the effectiveness of quasi-optimal radar meters in the conditions of external interference and in the complex modeling of radar facilities with such meters included.…”
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Intelligent Flight Procedure Design: A Reinforcement Learning Approach with Pareto-Based Multi-Objective Optimization by Yunyang Huang, Yanxin Zhang, Yandong Zhu, Zhuo Zhang, Longtao Zhu, Hongyu Yang, Yulong Ji

“…To address this challenge, this paper proposes a reinforcement-learning-based method that leverages carefully crafted reward engineering to achieve an optimized flight procedure design, effectively considering safety, route simplicity, and environmental friendliness. …”
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An Optimization Algorithm for Forward-Scatter Radar Network Node Deployment Based on BFGS and Improved NSGA-II by Yuqing Zheng, Xiaofeng Ai, Zhiming Xu, Jing Wu, Feng Zhao

“…Second, a method based on the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm was introduced to obtain the sub-optimal solution of node cost, thereby reducing the computational complexity of the optimization process. …”
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The Jackknife method as a new approach to validate strong lens mass models by Shun Nishida, Masamune Oguri, Yoshinobu Fudamoto, Ayari Kitamura

“…In this approach, we remove multiple images of a source from the fitting and optimize the mass model using multiple images of the remaining sources. …”
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Pose measurement method for coal mine drilling robot based on deep learning by Jiangnan LUO, Jianping LI, Hongxiang JIANG, Deyi ZHANG

“…A focal loss function was employed to enhance the model's focus on the drill head and gripper, and Bayesian parameter optimization was used for hyperparameter tuning. Then, the measured point cloud is registered using the Fast Point Feature Histogram (FPFH) and Iterative Closest Point (ICP) algorithms to obtain the transformation matrix from the measured point cloud to the source point cloud. …”
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