DSCW-YOLO: Vehicle Detection from Low-Altitude UAV Perspective via Coordinate Awareness and Collaborative Module Optimization by Qingqi Zhang, Hao Wang, Xinbo Wang, Jiapeng Shang, Xiaoli Wang, Jie Li, Yan Wang

“…This paper proposes an optimized algorithm based on YOLOv11s to address the problem of insufficient detection accuracy of vehicle targets from a drone perspective due to certain scenes involving complex backgrounds, dense vehicle targets, and/or large variations in vehicle target scales due to oblique imaging. …”
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Mathematical Model Based on BP Neural Network Algorithm for the Deflection Identification of Storage Tank and Calibration of Tank Capacity Chart by Caihong Li, Yali Yuan, Lulu Song, Yunjian Tan, Guochen Wang

“…The tank capacity chart calibration problem of two oil tanks with deflection was studied, one of which is an elliptical cylinder storage tank with two truncated ends and another is a cylinder storage tank with two spherical crowns. …”
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A Data Compression and Reconstruction Method for Distribution Network Field Operation Based on Compressed Sensing and Greedy Algorithm by TANG Lijun, YANG Yingchun, ZHAO Xu, HAN Tianxi, YAO Linpeng

“…Secondly, the observation matrix is constructed on the edge side, and the image and video stream data are sampled and compressed by compressed sensing technology, and transmitted to the cloud. …”
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Visual Place Recognition Based on Dynamic Difference and Dual-Path Feature Enhancement by Guogang Wang, Yizhen Lv, Lijie Zhao, Yunpeng Liu

“…Aiming at the problem of appearance drift and susceptibility to noise interference in visual place recognition (VPR), we propose DD–DPFE: a Dynamic Difference and Dual-Path Feature Enhancement method. …”
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Queueing modeling and optimization of hybrid electric vehicle infrastructures using evolutionary algorithms by Shreekant Varshney, Manthan Shah, Bhasuru Abhinaya Srinivas, Mayank Gupta, Kaibalya Prasad Panda

“…The set of differential-difference equations is constructed to characterize system dynamics, subsequently leading to the establishment of essential system performance indicators for performance assessment. …”
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Short-term forecast of wind power based on the division of wind speed fluctuation characteristics by QIAO Titang, XIE Lirong, YE Jiahao, GAO Yang, DAI Bing

“…In order to solve the problem that the wind power is difficult to predict accurately due to the drastic change of wind speed, a short-term wind power prediction method based on the division of wind speed fluctuation characteristics is proposed. …”
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Modelling of flaky particle motion under typical vibration excitation for gas insulated switchgear live operation by Jian Wang, Chengyi Qin, Teng Zhang, Keda Chen, Yuyi Wu, Hao Wang, Hanwen Ren, Qingmin Li

“…This paper clarifies the motion mechanism of flaky metal particles in GIS under shock vibration, providing support for solving the problem of frequent faults after GIS live operation.…”
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Pilot Protection of New Energy Transmission Line in Active Distribution Network Based on 5G Communication by Tiecheng LI, Hui FAN, Weiming ZHANG, Xianzhi WANG, Yihong ZHANG, Zhihui DAI

“…Traditional pilot differential protection will have the problem of reliability reduction or even failure to operate after the access of new energy stations. …”
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Residual Life Prediction of Proton Exchange Membrane Fuel Cell Based on Improved ESN by Tiejiang YUAN, Rongsheng LI, Jiandong KANG, Huaguang YAN

“…Then the reserve pool parameters of the ESN are optimized using the local and global optimization search capability of IGWO, and the IGWO-ESN network model is constructed, and the processed dataset is used for the training of the remaining life prediction model of the PEMFC, and finally it is compared with the traditional ESN for verification. …”
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Insulator Surface Defect Detection Method Based on Graph Feature Diffusion Distillation by Shucai Li, Na Zhang, Gang Yang, Yannong Hou, Xingzhong Zhang

“…Aiming at the difficulties of scarcity of defect samples on the surface of power insulators, irregular morphology and insufficient pixel-level localization accuracy, this paper proposes a defect detection method based on graph feature diffusion distillation named GFDD. The feature bias problem is alleviated by constructing a dual-division teachers architecture with graph feature consistency constraints, while the cross-layer feature fusion module is utilized to dynamically aggregate multi-scale information to reduce redundancy; the diffusion distillation mechanism is designed to break through the traditional single-layer feature transfer limitation, and the global context modeling capability is enhanced by fusing deep semantics and shallow details through channel attention. …”
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Practical prescribed-time fuzzy tracking control for uncertain nonlinear systems with time-varying actuators faults by Shuxing Xuan, Hongjing Liang, Tingwen Huang

“…The paper investigates the practical prescribed-time fuzzy tracking control problem for a category of nonlinear system subject to time-varying actuator faults. …”
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Thermodynamic System Optimization Research on 1 000 MW Deep Peak-regulating Unit by Lin WANG, Gang WU, Yafu ZHANG, Jinghui GAO, Hongyu WANG, Yingqi MENG

“…In order to enhance the deep peak-regulating capacity of ultra-supercritical thermal power units and solve the problem of large capacity units with low efficiency at low load section, the 1 000 MW unit with high efficiency and wide regulation load demonstration project was put forward and constructed. …”
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Expectation-maximization alternating least squares for tensor network logistic regression by Naoya Yamauchi, Hidekata Hontani, Tatsuya Yokota, Tatsuya Yokota

“…However, there is a problem with TN learning, namely the gradient vanishing, and learning using the gradient method cannot be performed efficiently. …”
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Conformational ensembles for protein structure prediction by Jiaan Yang, Wen Xiang Cheng, Peng Zhang, Gang Wu, Si Tong Sheng, Junjie Yang, Suwen Zhao, Qiyue Hu, Wenxin Ji, Qiong Shi

“…Abstract Acquisition of conformational ensembles for a protein is a challenging task, which is actually involving to the solution for protein folding problem and the study of intrinsically disordered protein. …”
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Existence and stability of solution for time-delayed nonlinear fractional differential equations by Shiferaw Geremew Kebede, Assia Guezane Lakoud

“…We establish sufficient requirements and inequalities using the generalized Gronwall inequality and Krasnoselskii's fixed-point theorem to prove the existence of solution for our problem. Additionally, we construct sufficient requirements for stability analysis by employing the Laplace transform and matrix measure theory. …”
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Principle and technology of step strengthening control of soft rock argillization roadway in coal mine by Guichen LI, Haoran HAO, Yuantian SUN, Jinghua LI, Sen YANG, Zeyu SHAO, Xiaofang WO

“…For the first time, the underground high pressure rotary-grouting engineering practice was carried out in the 8204 roadway of Guobei Coal Mine. The instability problem of mudded surrounding rock in belt roadway of the second level of Zhuxianzhuang Coal Mine is solved by the method of strong displacement of mudded surrounding rock by artificial constructed rock mass. …”
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Lightweight obstacle detection for unmanned mining trucks in open-pit mines by Guangwei Liu, Jian Lei, Zhiqing Guo, Senlin Chai, Chonghui Ren

“…Abstract This paper aims to solve the problem of the difficulty in balancing the model size and detection accuracy of the unmanned mining truck detection network in open-pit mines, as well as the problem that the existing model is not suitable for mining truck equipment. …”
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Resilience and traumatic stress among Latinx english language learners: a cross-sectional study of students from an urban school district by Roya Ijadi-Maghsoodi, Sara Rahmanian Koushkaki, Alexandra Klomhaus, Hilary Aralis, Angela Venegas-Murillo, Lauren Marlotte, Sameera Siddiqi, Kungeun Lee, Shirley A. De La Cruz, Sheryl Kataoka

“…Results Among students with low traumatic stress risk, ELL students had worse self-efficacy but better problem solving than their non-ELL peers. When considering students with high traumatic stress risk, ELL students had better problem solving, self-awareness, perceived school support, and total internal assets, relative to non-ELL students. …”
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Impact of distress and anxiety due to COVID-19 on digital addictions in university students in the third wave period  [version 1; peer review: 2 approved] by Yovana Pardavé-Livia, Armando Martínez-Portillo, Evelyn Barboza-Navarro, Luz Elizabeth Mayorga-Falcón, Walter Capa-Luque, Catalina Bello-Vidal, Aldo Bazán-Ramírez, Edmundo Hervias-Guerra

“…Abstract* Background Digital addictions are a major problem worldwide, which has increased considerably during the COVID-19 pandemic. …”
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Impact of distress and anxiety due to COVID-19 on digital addictions in university students in the third wave period  [version 2; peer review: 3 approved] by Yovana Pardavé-Livia, Armando Martínez-Portillo, Evelyn Barboza-Navarro, Luz Elizabeth Mayorga-Falcón, Walter Capa-Luque, Catalina Bello-Vidal, Aldo Bazán-Ramírez, Edmundo Hervias-Guerra

“…Abstract Background Digital addictions are a major problem worldwide, which has increased considerably during the COVID-19 pandemic. …”
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