Deep learning-based detection and evaluation of building changes in rail transit protection zones by Cai Jia, Long Zhao, Chengyang Qian, Yu Zhang, Zini Cao, Xiaoqiang Zhu

“…The study demonstrates that a dedicated training sample set enhances the accuracy of building change detection. …”
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Online variational Gaussian process for time series data by Weidong Wang, Mian Muhammad Yasir Khalil, Leta Yobsan Bayisa

“…However, integrating variational inference into the GP framework for sequentially arriving data remains a significant challenge, particularly when dealing with time series data where the underlying data distribution evolves over time. …”
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Nondestructive detection and classification of impurities-containing seed cotton based on hyperspectral imaging and one-dimensional convolutional neural network by Yeqi Fei, Zhenye Li, Tingting Zhu, Zengtao Chen, Chao Ni

“…By applying hyperspectral imaging and a one-dimensional deep learning algorithm, we detect and classify impurities in seed cotton after harvest. …”
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A longitudinal investigation of gut microbiota dynamics in laying hens from birth to egg-laying stages by Seojin Choi, Eun Bae Kim

“…Fecal microbiome diversity increased until day 302, whereas in the ileal content, it grew until day 101 before declining. …”
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Building extraction method for aerial images based on DeepLabv3+ semantic segmentation by LIAO Yuanhui, WANG Jingdong, LI Haoran, YANG Heng

“…To address the issues of segmentation result merging and irregular contour lines in semantic segmentation algorithms for building extraction, an improved model based on DeepLabv3+ for aerial building extraction is proposed by improving the feature fusion structure, constructing a comprehensive loss function, and incorporating an improved Douglas Peucker algorithm. …”
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Design and development of full self-service smart shopping system for unmanned supermarket by Xiao Liang, Yu Qi, Shuo Xi, Guanglei Meng, Zhujun Wang

“…Additionally, integrating a distributed DIMP (Discriminative Model Prediction) visual-tracking algorithm and infrared range sensors ensures that the smart shopping cart always follows the customer at a safe distance. …”
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A Prototype for Computing the Distance of Features of High-Pressure Die-Cast Aluminum Products by Luis Alberto Arroniz Alcántara, Óscar Hernández-Uribe, Leonor Adriana Cárdenas-Robledo, José Alejandro Fernández Ramírez

“…This article reports a prototype that uses computer vision, deep learning algorithms, and mathematical methods to derive the spatial position (x, y, z) of features of the machined parts of high-pressure die-casting (HPDC) aluminum products. …”
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A Distributed Detection Method for Quality-related Faults in Complex Non-stationary Industrial Processes by Jie DONG, Daye LI, Yanmei WEI, Kaixiang PENG, Hui YANG

“…The detection results demonstrated that the proposed distributed quality anomaly monitoring method can quickly detect quality-related faults. …”
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Reactive Power Distribution Based on Voltage Consistency in Energy Interconnection Micro-grids by DING Xiying, BI Mingtao, GONG Jingying

“…An algorithm of distributed average voltage consistency is used to improve the accuracy of reactive power distribution. …”
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Multi-agent deep reinforcement learning for RIS-assisted secure UAV communication by Bojia Zhao, Danyang Qin, Yuhong Chen, Jiaqiang Yang, Huapeng Tang, Lin Ma

“…Additionally, the impact of system energy consumption is considered in the optimization process to improve secrecy energy efficiency (SEE). To achieve this, we develop a multi-agent twin delayed deep deterministic policy gradient algorithm with energy penalty (MATD3-EP), where multiple agents dynamically solve subproblems and share rewards to achieve global optimization. …”
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CONTACT STRESS ANALYSIS AND OPTIMIZATION OF DOUBLE SHOCK SLEEVE MOVABLE TOOTH by SHEN HaiTao, AN ZiJun

“…The research results can provide theoretical guidance for the structural design and optimization of double shock sleeve movable tooth transmission and line contact parts.…”
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Research and application of water drainage borehole design method based on three-dimensional geological model by Zhenrong WANG

“…An integrated water drainage borehole design system is developed, realizing functions such as borehole parameter design, borehole management, deviation analysis, and three - dimensional visualization. …”
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A Study on Canopy Volume Measurement Model for Fruit Tree Application Based on LiDAR Point Cloud by Na Guo, Ning Xu, Jianming Kang, Guohai Zhang, Qingshan Meng, Mengmeng Niu, Wenxuan Wu, Xingguo Zhang

“…Ultimately, five key features were retained for model training: the number of point clouds, the 2D point cloud contour along the X- and Z-projection directions, the 2D width in the Y-projection direction, and the 2D length in the Z-projection direction. …”
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Energy Efficiency Maximization in RISs-Assisted UAVs-Based Edge Computing Network Using Deep Reinforcement Learning by Chuanwen Luo, Jian Zhang, Jianxiong Guo, Yi Hong, Zhibo Chen, Shuyang Gu

“…Specially, the UTRP-DDPG algorithm improves the UAV energy efficiency by at least 2% compared to DQN algorithm.…”
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Fault reconfiguration control strategy of islanded marine ranching power supply system based on deep reinforcement learning by Yichun Wang, Bo Zhang, Rongjie Wang, Jiang Desong, Yabo Cui, Zhouyang Sun, Hao Liu

“…To ensure the safe operation of the marine ranching power system, a fault reconstruction control method based on an improved Noisy-Dueling Deep Q-Network (Noisy-Dueling DQN) algorithm is proposed. …”
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Contemporary conceptions of etiology, pathogenesis, management and treatment of primary diffuse large b-cell central nervous system lymphoma by S. V. Voloshin, Yu. A. Krivolapov, A. V. Shmidt, V. A. Shuvaev, M. S. Fominykh, K. M. Abdulkadyrov

“…In this article we present the most up-to-date information about etiology, pathogenesis, diagnostic and treatment principles of primary central nervous system diffuse large B-cell lymphoma. …”
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Underwater Target 3D Reconstruction via Integrated Laser Triangulation and Multispectral Photometric Stereo by Yang Yang, Yimei Liu, Eric Rigall, Yifan Yin, Shu Zhang, Junyu Dong

“…With the gradual application of 3D reconstruction technology in underwater scenes, the design of vision-based reconstruction models has become an important research direction for human ocean exploration and development. …”
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Optimal Configuration of ESS in Distribution Network Considering Generation of PV-Load Time Series Scenarios by Xiaolong Xiao, Mingming Shi, Fan Wu, Yukai Wei, Bo Zhao, Fang Zhang

“…To solve the high-dimensional multi-objective functions in the model, an non-dominated sorting genetic algorithm-III (NSGA-III) was employed, and the optimal solution is selected by using the entropy weight method (EWM). …”
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A Two-Stage Site Selection and Capacity Determination Method for Energy Storage Power Stations Based on HC-MOPSO by Wangwang BAI, Dezhou YANG, Wanwei LI, Tao WANG, Yaozhong ZHANG

“…The MOPSO algorithm embedded in power flow calculation is designed to solve the model. …”
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Cyber threat intelligence for smart grids using knowledge graphs, digital twins, and hybrid machine learning in SCADA networks by Nabeel Al-Qirim, Munir Majdalawieh, Anoud Bani-hani, Hussam Al Hamadi

“…To further enhance the analysis, a directed-graph (DiGraph) algorithm is applied to create a knowledge-graph-based digital twin, allowing for a deeper understanding of how these cyber-attacks impact SCADA operations. …”
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