Energy-Efficient Optimization Method for Timetable Adjusting in Urban Rail Transit by Lianbo Deng, Shiyu Tang, Ming Chen, Ying Zhang, Yuanyuan Tian, Qun Chen

“…For a given timetable in urban rail transit systems, this paper presents a practical energy efficiency optimization problem that carries out adjustments to the timetable, with the goal of energy saving. …”
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Capacity Optimization Configuration of a Bidirectional Reversible Centralized Electrohydrogen Coupling System by Xing FENG, Wei YANG, Anan ZHANG, Xi ZHANG, Qian LI, Xianzhang LEI

“…In response to the problem of wind and light abandonment in large-scale new energy power plants in areas with abundant wind and solar energy, a bidirectional reversible centralized RSOC electric hydrogen coupling system capacity optimization configuration method is proposed by utilizing the reversible solid oxide fuel cell (RSOC) combined with the bidirectional conversion characteristics of hydrogen energy storage to absorb excess wind and solar resources. …”
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A Lightweight Citrus Ripeness Detection Algorithm Based on Visual Saliency Priors and Improved RT-DETR by Yutong Huang, Xianyao Wang, Xinyao Liu, Liping Cai, Xuefei Feng, Xiaoyan Chen

“…To address this, we constructed a citrus ripeness detection dataset under complex orchard conditions, proposed a lightweight algorithm based on visual saliency priors and the RT-DETR model, and named it LightSal-RTDETR. …”
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SCTNet-NAS: efficient semantic segmentation via neural architecture search for cloud-edge collaborative perception by Ruyu Liu, Lin Wang, Zhihao Yu, Haoyu Zhang, Xiufeng Liu, Bo Sun, Xv Huo, Jianhua Zhang

“…Abstract Efficient semantic segmentation on edge devices is critical for cloud-edge perception, yet achieving high accuracy under resource constraints remains challenging. To alleviate this problem, this paper presents SCTNet-NAS, a novel framework for efficient edge segmentation via cloud-edge co-optimization. …”
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Rolling bearing fault diagnosis under small sample conditions based on WDCNN-BiLSTM Siamese network by Chenxu Bian, Chunni Jia, Jibo Li, Xiangjun Chen, Pei Wang

“…This model constructs a feature extraction system that combines WDCNN and BiLSTM to extract local spatial features and global temporal dependencies from vibration signals. …”
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NAS-CRE: Neural Architecture Search for Context-Based Relation Extraction by Rongen Yan, Dongmei Li, Yan Wu, Depeng Dang, Ye Tao, Shaofei Wang

“…Relation extraction, a crucial task in natural language processing (NLP) for constructing knowledge graphs, entails extracting relational semantics between pairs of entities within a sentence. …”
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Deep learning-based study on assessment and enhancement strategy for geological disaster emergency evacuation capacity in Changbai Mountain North Scenic Area by Erzong Zheng, Yichen Zhang, Jiquan Zhang, Jiale Zhu, Jiahao Yan, Gexu Liu

“…To tackle these issues, this research employs the Real-Enhanced Super-Resolution Generative Adversarial Network (Real-ESRGAN), which successfully resolves the problem of blurriness in remote sensing images and significantly enhances image clarity. …”
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Opportunities of natural language processing for comparative judgment assessment of essays by Michiel De Vrindt, Anaïs Tack, Wim Van den Noortgate, Marije Lesterhuis, Renske Bouwer

“…More specifically, we argue that, at the start of the assessment, initial essay quality scores could be predicted from essay texts using NLP, mitigating the cold-start problem of CJ. During the CJ assessment, selection rules could be constructed using NLP to efficiently increase the reliability of the scores while supporting assessors by not letting them make too difficult comparisons. …”
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Comprehensive assessment and analysis of urban resilience based on fusion modeling–taking guilin as an example by Liduo Dou, Lanwei Zhu, Yuxin He, Meiqing Wu, Yifei Guo

“…Guilin has long been plagued by frequent floods and droughts, which have caused significant economic losses, and exacerbated the city's development load. This study constructs an urban resilience indicator system from five dimensions: economic, social, ecological, engineering and disaster, and uses the CRITIC-ωTOPSIS method to solve the problem of weight distribution of indicators, highlight the influence of indicator weights on the urban toughness scores over the years, and quantitatively assess the urban toughness of Guilin from 2000 to 2023, revealing its spatial–temporal differentiation characteristics. …”
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An Evaluation Method for Distribution Network Operation Based on Multi-source Data Deep Fusion by Junfeng QIAO, Aihua ZHOU, Lin PENG, Yiqing WANG, Xiaofeng SHEN, Sen PAN, Pei YANG, Chenhong HUANG

“…To address above-said problem, this paper proposes an evaluation method for distribution network operation based on multi-source data deep fusion. …”
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Coordinated Optimization Operation Strategy for Multi-Energy Center with Power-to-Gas Devices by Lei ZHANG, Guangyu QIN, Yaling LIU

“…The model linearizes the nonlinear constraints of the natural gas network power flow, and converts the bi-objective optimization problem into single-objective optimization by adding the weight coefficient. …”
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Fluid Dynamic Assessment of Tall Buildings with a Variety of Complicated Geometries by Rahul Kumar Meena, Ritu Raj, S. Anbukumar, Mohammad Iqbal Khan, Jamal M. Khatib

“…This involves resolving the intricate fluid dynamics problem through numerical analysis using the ANSYS software. …”
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Co-Optimization of Ancillary Services Providing Primary Frequency Control in the Day-Ahead Market by Manuel Garcia, J. Kyle Skolfield, Felipe Wilches-Bernal, Ross Baldick

“…To ensure that PFR reserve is available fast enough to contribute to primary frequency control, we propose enforcing novel rate-based PFR reserve limits that vary with inertia and FFR reserve and are constructed by a simulation-based heuristic. The proposed requirements are incorporated into the unit-commitment problem and are compatible with the equivalency ratio requirement used by the Electric Reliability Council of Texas (ERCOT). …”
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Stochastic Evolutionary Analysis of an Aerial Attack–Defense Game in Uncertain Environments by Shiguang Hu, Le Ru, Bo Lu, Zhenhua Wang, Wenfei Wang, Hailong Xi

“…Aiming at the problem of random environment interference in the process of strategy interaction and the behavioral evolution of an aerial attack–defense game, this paper considers the influence of the difference in the performance and value between both game players in terms of strategy evolution; explores the randomness of the complex battlefield environment, the uncertainty of the behavioral state of game players, and the limitations of the emergent situation; constructs a mathematical model of the stochastic evolution of an aerial-coordinated attack–defense game in uncertain environments; and studies the stability of the strategy interaction and behavioral decision-making process of both players of the aerial attack–defense game. …”
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Real-Time Batch Detection System for Defects in Highly Curved Spiral Cylindrical Coils by Qinghang Zhuo, Linghua Kong, Jishi Zheng, Zhigang Ding, Wenguang Li, Dingrong Yi, Guofu Lian

“…By constructing the dataset and training the semantic segmentation model, the surface cracks were effectively detected and identified. …”
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Market Oriented Low-Carbon Optimal Scheduling of Virtual Power Plants Considering Multiple User-Side Resources Coordination by Mingbing LI, Qiang LI, Xiyang GUAN, Haoyang ZHOU, Rui LU, Yankun FENG

“…Finally, an optimized low-carbon dispatching model for VPPs participating in the joint electricity-carbon market is constructed. In this model, Conditional Value at Risk (CVaR) is introduced to measure the relationship between market returns and risks, and the model is transformed into a Mixed Integer Linear Programming (MILP) problem for solution. …”
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Enhancing resilience of distribution system under extreme weather: Two-stage energy storage system configuration strategy based on robust optimization by Ye He, Hongyun Fu, Andrew Y. Wu, Hongbin Wu, Ming Ding

“…Extreme natural disasters can easily cause large-scale power outages in distribution networks (DN), and energy storage system (ESS) contributes to an essential part of integrated solutions to this problem owing to its flexible regulation and rapid response characteristics. …”
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Distributed Collaborative Control Strategy for Intra-regional AGC Units in Interconnected Power System with Renewable Energy by Lei ZHANG, Xiaowei MA, Manliang WANG, Li CHEN, Bingtuan GAO

“…Then, considering the frequency regulation economy, a power dynamic allocation optimization model is constructed, with the objective of minimizing the quadratic cost function of active power variation constrained by active power output and power balance. …”
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Pseudo-Labeling Domain Adaptation Using Multi-Model Learning by Victor Akihito Kamada Tomita, Ricardo Marcondes Marcacini

“…We use these representations to construct a heterogeneous bipartite graph, where a neural network is employed for final classification. …”
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Bearing Fault Diagnosis Based on Spatial Features of 2.5 Dimensional Sound Field by Junjian Hou, Jun Ma, Zhanpeng Fang, Wuyi Ming, Wenbin He

“…Since its diagnosis robustness is sensitive to sound signal acquisition location, it develops slowly. To solve this problem, the 2-dimensional (2D) sound field variation near the machine is adopted for diagnosis by the near-field acoustic holography (NAH)- based fault diagnosis method with array measurement. …”
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