Portraying heritage corridor dynamics and cultivating conservation strategies based on environment spatial model: an integration of multi-source data and image semantic segmentatio... by Jinliu Chen, Xiaoxin Zhao, Haoqi Wang, Jianxiong Yan, Di Yang, Kong Xie

“…The restoration and optimization of heritage corridors should combine a comprehensive, precise, and people-oriented spatial quality assessment, and the GIS-based ESM analysis method could be an effective decision-making support system.…”
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GCT–CET Integrated Flexible Load Control Method for IES by Yaoxian Liu, Yuanyuan Wang, Yiqi Yang, Kaixin Zhang, Yue Sun, Cong Hou, Zhonghao Dongye, Jingwen Chen

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Coverage Optimization Technology of Power Pipe Gallery Based on Improved Gray Wolf Algorithm by Cheng ZHONG, Di ZHAI, Yang LU, Xiaobo LIU, Xinru WANG, Xiongwen ZHAO

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Generalizable Solar Irradiance Prediction for Battery Operation Optimization in IoT-Based Microgrid Environments by Ray Colucci, Imad Mahgoub

“…A shift towards renewable energy sources, particularly solar power, is underway, though these sources face challenges due to their inherent intermittency. …”
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Multi‐objective interval planning for 5G base station virtual power plants considering the consumption of photovoltaic and communication flexibility by Dawei Zhang, Xudong Cui, Changbao Xu, Shigao Lv, Lianhe Zhao

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Optimizing surfactin yield in Bacillus velezensis BN to enhance biocontrol efficacy and rhizosphere colonization by Tongshu Liu, Yanli Zheng, Litao Wang, Xu Wang, Haiyan Wang, Yongqiang Tian

“…However, the practical application of surfactin is currently limited by its low yield in natural strains.MethodsThis study aimed to optimize the culture conditions for Bacillus velezensis BN, a strain with exceptional biocontrol properties, to enhance its surfactin yield. …”
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Development and research of the quadrupole mass spectrometry simulation model with the entire ion optics system by Lina Yang, Yuqing Gu, Hao Gong, Zi-long Liu, Xingchuang Xiong, Xiang Fang

“…To address the challenges posed by numerous optimization parameters and high time costs, the orthogonal experimental design method was employed, which remarkably enhanced the efficiency of parameter optimization and reduced the experimental time and cost. …”
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Calculation method for target reliability of natural gas pipeline systems by Guangyu YAO, Honglong ZHENG, Daquan LI, Ranran WEI, Qiaofei SUN, Kai YANG

“…This method takes into account the random failures in crucial units of natural gas pipeline systems and the random fluctuations in gas sources and users' demands. …”
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Statistically Optimized Near-Field Acoustic Holography Using Prolate Spheroidal Wave Functions by Xuxin Zhang, Jingjun Lou, Jinfang Lu, Ronghua Li, Shijian Zhu

“…The results show that the proposed method can effectively reconstruct the sound pressures of elongated sources and perform robustly across a wide frequency range. …”
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Robust Optimization for Microgrid Management With Compensator, EV, Storage, Demand Response, and Renewable Integration by Hamid Hematian, Mohamad Tolou Askari, Meysam Amir Ahmadi, Mahmood Sameemoqadam, Majid Babaei Nik

“…The model primarily addresses challenges arising from the integration of power electronics-based generation units, the unpredictable nature of demand in microgrids, and the integration of small-scale renewable energy sources. The proposed model includes detailed formulations for MG energy management, covering optimal battery usage, efficient EV energy management, compensator usage, and strategic dispatching of DG resources. …”
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An innovative approach to monitoring non-point source pollution at a field scale: online monitoring system for continuous cropping with a serial pipeline by Peipei FENG, Gaofei YIN, Qingyi ZHU, Tongyang LI, Bin XI, Xiaoyuan XU, Huiqing JIAO, Hongda WEN, Lingling HUA, Wenchao LI

“…Although the established method, field experiment plots, was used effectively in the first and second national pollution source census in China. …”
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Fast Catalog Matching for Improved Posteriors via Constrained Clustering by Jacob Feitelberg, Tamás Budavári, Amitabh Basu

“…Our new approach uses constrained clustering, specifically COP-KMeans, to provide near-optimal solutions in a fraction of the time of previous methods. …”
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Melt Density Monitoring of Extruder Extrusion Process Based on Multi-source Data Fusion and Convolutional Long Short-term Memory Neural Network by Binbin ZHANG, Zhuyun CHEN, Fei ZHANG, Gang JIN

“…Ensuring precise control over melt density is imperative for achieving desired product characteristics and maintaining process stability in polymer blending operations.Methods The research proposes a novel methodological framework that integrates multi-source data fusion with a convolutional long short-term memory (LSTM) neural network architecture to address this challenge. …”
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Optimization planning of new rural multi-energy distribution network based on fuzzy algorithm by Huanhuan Ye, Qing Wang, Yongsheng Xian, Bo Wen, Yuange Li, Siwei Hou

“…Existing methods are difficult to cope with the volatility and uncertainty of energy sources, resulting in uneven load distribution, high energy loss and low system efficiency. …”
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S’approprier, c’est résister. Appropriations spatiales et mobilisation infra-politique des femmes en immobilité résidentielle et sociale dans les bidonvilles de Salé (Maroc)... by Myriame Ali-Oualla

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Multi-Time Scale Coordinated Optimization of Energy Systems Under Flexible Load Response by Jinfeng Gao, Daifeng Gao, Chun Xiao

“…To address these challenges, this study investigates multi-time scale collaborative optimization of energy systems based on flexible load response, utilizing a combination of qualitative and quantitative methods. …”
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Optimizing integration techniques for UAS and satellite image data in precision agriculture — a review by Aliasghar Bazrafkan, C. Igathinathane, Nonoy Bandillo, Paulo Flores

“…This review explores the significance of integrating high-resolution UAS and satellite imagery via pixel-based, feature-based, and decision-based fusion methods. The study investigates optimization techniques, spectral synergy, temporal strategies, and challenges in data fusion, presenting transformative insights such as enhanced biomass estimation through UAS-satellite synergy, improved nitrogen stress detection in maize, and refined crop type mapping using multi-temporal fusion. …”
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Evaluating soiling effects to optimize solar photovoltaic performance using machine learning algorithms by Muhammad Faizan Tahir, Anthony Tzes, Tarek H.M. El-Fouly, Mohamed Shawky El Moursi, Nauman Ali Larik

“…Hyperparameter optimization using Bayesian methods enhances predictive performance. …”
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Value chain optimization in large scale gas network considering elevation and transmission direction by Xifeng Ning, Jinfeng Qiu, Dejun Yu

“…Numeric experiments demonstrate the method’s efficiency in generating high-quality solutions for the optimization problem.…”
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A GD-PSO Algorithm for Smart Transportation Supply Chain ABS Portfolio Optimization by Yingjia Sun, Hongfeng Ren

“…Different from forward selection or linear optimization, which could have low efficiency for complicated problems with large sample size and multiple objectives, new methods and algorithms for NP-hard problems would be necessary to be investigated. …”
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