Aggregation Method and Bidding Strategy for Virtual Power Plants in Energy and Frequency Regulation Markets Using Zonotopes by Jun Zhan, Mei Huang, Xiaojia Sun, Zuowei Chen, Yubo Zhang, Xuejing Xie, Yilin Chen, Yining Qiao, Qian Ai

“…The upper layer optimizes the bidding strategies to maximize the VPP revenue, while the lower layer achieves joint market clearing with the goal of maximizing social welfare. …”
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A probability integral method modified model for accurately characterizing subsidence at the boundary of a mining area by Bang Zhou, Shengcai Li, Jianrong Kang, Lu Zhang, Jinman Zhang, Ming Li

“…The probability integral method (PIM) is an official prediction model for mining subsidence in China, while it is difficult to accurately predict the subsidence boundary of a mining area, and cannot scientifically and accurately evaluate the impact of coal mining on the deformation of coal transportation railways passing through the boundary, lacking effective guidance for railway protection. …”
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An efficient method for fabricating nanofiber air filters with minimized pressure drop for effective indoor particle removal by Zhuolun Niu, Chun Chen

“…To support practical applications, this study proposed an efficient method for producing electrospun nanofiber air filters that achieve a minimized pressure drop while meeting the target particle filtration efficiency. …”
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A real-time 3D modeling method for buildings driven by IMU and RGB-D fusion by Yuhan Gao, Chao Dang, Jun Zhu, Yakun Xie, Ya Hu, Chunli Yan, Kun Yi, Chuan Yi, Xue Li

“…The method incorporates an adaptive sampling strategy for RGB-D cameras based on IMU data calibration, introduces a pose estimation optimization algorithm that combines dynamic feature point cluster centroid prediction with bias detection, establishes a progressive 3D modeling approach constrained by structural features, and develops a prototype system for in-depth case study analysis. …”
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Low-light image enhancement method based on retinex theory and dual-tree complex wavelet transform by Yuqian Zhang, Jie Jiang, Zhan Wang, Qi Zhang, Yudi Jiang, Jun Liu, Zeyao Hou

“…Unsupervised methods, while reducing dependency on paired images, often suffer from limited data priors, leading to artifacts and subpar image quality. …”
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Computational machine learning estimation of digitoxin solubility in supercritical solvent at different temperatures utilizing ensemble methods by Hadil Faris Alotaibi, Waqed H. Hassan, Ahmed Kateb Jumaah Al-Nussairi, Narinderjit Singh Sawaran Singh, Ahmed Salah Al-Shati, M. M. Rekha, Subhashree Ray, Aashna Sinha, Gunjan Garg

“…This work explores the modeling of digitoxin solubility as the case study in supercritical CO2 and solvent density utilizing ensemble methods. Temperature and pressure are the input parameters, while solvent density and digitoxin solubility are the output parameters. …”
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Aircraft Acquisition Post-Pandemic: Human vs. AI Perspectives using Multi-Criteria Decision Methods by Rizki Akbar Prasetya, Akhmad Hidayatno

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Advancing the Valuation of Grassland Carbon Sinks: A Study of Three Calculation Methods for Fair Value Measurement by Ye Yan, Yujie Liu, Changbai Xiu, Yanli Tian, Muhammad Umer Arshad, Baoyin Dureng

“…Specifically, MOC excels in preliminary carbon pricing during project initiation phases, SP is optimal for mature primary markets with established transaction histories, while OP exhibits superior technical capabilities for projects’ future value estimation in secondary market transactions. …”
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Effects of harvest maturity coupled with various drying methods on the quality and aroma composition of gray jujube powder by Zhanxia Liu, Hongbin Wu, Yinglin Du, Xinwen Jin, Tarun Belwal, Hui Yang, Xizhe Fu

“…Notably, the combination of semi-ripe stage and FD-FID method effectively reduced browning while improving solubility, hygroscopicity, and antioxidant activity of the jujube powder, contributing to the overall enhancement of product quality. …”
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An Efficient Fine-Grained Recognition Method Enhanced by Res2Net Based on Dynamic Sparse Attention by Qifeng Niu, Hui Wang, Feng Xu

“…Extensive evaluations on benchmark datasets demonstrate the effectiveness of the proposed method. It achieves a modest but consistent accuracy gain over strong baselines (approximately 2%) while simultaneously reducing model size by around 30% and inference latency by about 20%, proving highly effective for practical fine-grained recognition applications requiring both high accuracy and operational efficiency.…”
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Quantitative stability analysis of STATCOM in voltage control mode and Enhanced control method based on voltage feedforward by Song Zhang, Yandong Chen, Qianyuan Li, Zhiwei Xie, Youze Fu, Wenhua Wu

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Research and application of flexible starting method for metro trains with permanent magnet motors based on PI control by LIU Zhicheng, CHEN Xijun, HE Ye, HU Hui

“…To further improve the performance and capacity of metro systems and ensure fast and smooth train starting, typically characterized by shortened starting durations and reduced jerks during starting, this paper proposes a flexible starting method for metro trains fitted with permanent magnet motors, based on a dynamic analysis of the train starting process. …”
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Preparation and Physicochemical Properties of High-viscosity Easily-gelling Pectin via Low-temperature Enzymatic Method by Min ZHANG, Peng FEI, Jingna LIU

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Cooperative control method for multi-agent ground fracturing truck group based on offline reinforcement learning by RuYi Wang, HuiShen Jiao, YingCheng Tian, Yi Zhao, SiQi Wang, Ke Zhang, Bo Huang, QinRui Sun, DanDan Zhu

“…To address these issues, we proposes a multi-agent reinforcement learning based pump injection coordination control method to autonomously compute the optimal pump speeds for each fracturing truck in real time. …”
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Flax Fibre Extraction Techniques in the Late Middle Ages by Martina König

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Prediction of the Characteristics of Concrete Containing Crushed Brick Aggregate by Marijana Hadzima-Nyarko, Miljan Kovačević, Ivanka Netinger Grubeša, Silva Lozančić

“…The study focuses on optimizing key parameters like the minimum leaf size in the models. …”
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An Empirical Comparison of Urban Road Travel Time Prediction Methods—Deep Learning, Ensemble Strategies and Performance Evaluation by Yizhe Wang, Yangdong Liu, Xiaoguang Yang

“…This study compares the predictive performance of deep learning methods with traditional shallow learning methods for urban road travel time prediction, and explores the potential for improving prediction effectiveness through multi-run training strategies for hyperparameter optimization and ensemble learning. …”
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Artificial intelligence in educational technology and transformative approaches to English language using fuzzy framework with CRITIC-TOPSIS method by Jingdan Liu, Xujie Bao, Liji Chen

“…Furthermore, a comprehensive comparative study is conducted to assess the compatibility of the proposed optimization techniques in the CRITIC-TOPSIS method with existing optimization approaches. …”
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Coordinated Operation of the Constituent Components of a Community Energy System to Maximize Benefits While considering the Network Constraints by A. H. Wijethunge, J. V. Wijayakulasooriya, J. B. Ekanayake, A. Polpitiya

“…In this paper, a method to maximize the utilization of the renewables while maximizing the profit of a smart community within system constraints was suggested by introducing an optimum schedule of smart appliances in the community. …”
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An Adaptive Unscented Kalman Ilter Integrated Navigation Method Based on the Maximum Versoria Criterion for INS/GNSS Systems by Jiahao Zhang, Kaiqiang Feng, Jie Li, Chunxing Zhang, Xiaokai Wei

“…The experimental results demonstrate that the proposed method outperforms traditional approaches, effectively handling measurement anomalies and non-Gaussian measurement noise while maintaining robust navigation performance. …”
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