A Review of Simultaneous Localization and Mapping Algorithms Based on Lidar by Yong Li, Jiexin An, Na He, Yanbo Li, Zhenyu Han, Zishan Chen, Yaping Qu

“…Simultaneous localization and mapping (SLAM) is one of the key technologies for mobile robots to achieve autonomous driving, and the lidar SLAM algorithm is the mainstream research scheme. …”
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Error-Index-Based Algorithm for Low-Velocity Impact Localization by Tao Peng, Lilin Cui, Xiufeng Huang, Wenjing Yu, Rongwu Xu

“…The results indicated that the proposed localization algorithm can accurately locate the impact points on a flat plate and cylindrical shell, even under strong background noise conditions, providing a reference for future research on locating low-velocity impact points in large equipment.…”
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Abnormal link detection algorithm based on semi-local structure by Haoran SHI, Lixin JI, Shuxin LIU, Gengrun WANG

“…With the research in network science, real networks involved are becoming more and more extensive.Redundant error relationships in complex systems, or behaviors that occur deliberately for unusual purposes, such as wrong clicks on webpages, telecommunication network spying calls, have a significant impact on the analysis work based on network structure.As an important branch of graph anomaly detection, anomalous edge recognition in complex networks aims to identify abnormal edges in network structures caused by human fabrication or data collection errors.Existing methods mainly start from the perspective of structural similarity, and use the connected structure between nodes to evaluate the abnormal degree of edge connection, which easily leads to the decomposition of the network structure, and the detection accuracy is greatly affected by the network type.In response to this problem, a CNSCL algorithm was proposed, which calculated the node importance at the semi-local structure scale, analyzed different types of local structures, and quantified the contribution of edges to the overall network connectivity according to the semi-local centrality in different structures, and quantified the reliability of the edge connection by combining with the difference of node structure similarity.Since the connected edges need to be removed in the calculation process to measure the impact on the overall connectivity of the network, there was a problem that the importance of nodes needed to be repeatedly calculated.Therefore, in the calculation process, the proposed algorithm also designs a dynamic update method to reduce the computational complexity of the algorithm, so that it could be applied to large-scale networks.Compared with the existing methods on 7 real networks with different structural tightness, the experimental results show that the method has higher detection accuracy than the benchmark method under the AUC measure, and under the condition of network sparse or missing, It can still maintain a relatively stable recognition accuracy.…”
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Research on Leak Detection and Localization Algorithm for Oil and Gas Pipelines Using Wavelet Denoising Integrated with Long Short-Term Memory (LSTM)–Transformer Models by Yunbin Ma, Zuyue Shang, Jie Zheng, Yichen Zhang, Guangyuan Weng, Shu Zhao, Cheng Bi

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Research on intelligent optimization of cryptogram service scheduling for service composition by Jian-jun LI, Bin YU, Wu-ping CHEN

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An Iterated Local Search Algorithm for Estimating the Parameters of the Gamma/Gompertz Distribution by Behrouz Afshar-Nadjafi

“…Extensive research has been devoted to the estimation of the parameters of frequently used distributions. …”
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A RSSI-Based Distributed Weighted Search Localization Algorithm for WSNs by Yingbiao Yao, Qi Han, Xiaorong Xu, Nanlan Jiang

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Energy-Aware Sink Node Localization Algorithm for Wireless Sensor Networks by Mohamed Mostafa Fouad, Vaclav Snasel, Aboul Ella Hassanien

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An image quality assessment algorithm based on ‘global + local’ feature fusion by Yang Yang, Norisma Binti Idris, Ainuddin Wahid Abdul Wahab, Dingguo Yu, Chang Liu

“…This study proposes an image quality assessment algorithm based on global-local feature fusion (IQA-GL). …”
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Research on Two-Stage Energy Storage Optimization Configurations of Rural Distributed Photovoltaic Clusters Considering the Local Consumption of New Energy by Yang Liu, Dawei Liu, Keyi Kang, Guanqing Wang, Yanzhao Rong, Weijun Wang, Siyu Liu

“…Taking a Chinese village as an example, the proposed model is optimized with an improved particle swarm optimization algorithm. Given different combinations with and without energy storage and demand response, comparative analyses are conducted on photovoltaic local consumption and the economic benefits of independent operators in various scenarios. …”
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Research on Apple Recognition and Localization Method Based on Deep Learning by Zhipeng Zhao, Chengkai Yin, Ziliang Guo, Jian Zhang, Qing Chen, Ziyuan Gu

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A Fallback Localization Algorithm for Automated Vehicles Based on Object Detection and Tracking by Mario Rodriguez-Arozamena, Jose Matute, Javier Araluce, Lukas Kuschnig, Christoph Pilz, Markus Schratter, Joshue Perez Rastelli, Asier Zubizarreta

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Global and local path planning of robots combining ACO and dynamic window algorithm by Yaping Lu, Chen Da

“…Therefore, a global and local path planning method combining improved ant colony algorithm and improved dynamic window algorithm is proposed. …”
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Research on Indoor Object Detection and Scene Recognition Algorithm Based on Apriori Algorithm and Mobile-EFSSD Model by Wenda Zheng, Yibo Ai, Weidong Zhang

“…The specific research contents are as follows: (1) To address complex indoor scenes and occlusion, this paper proposes an improved Mobile-EFSSD object detection algorithm. …”
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Research on Classification of Rail Defects Based on Image Processing Algorithm by Mengying HUANG, Jiangping LUO, Wenxing WANG, Jingwei CAO

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Research on AGV Path Planning Based on Improved DQN Algorithm by Qian Xiao, Tengteng Pan, Kexin Wang, Shuoming Cui

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Proposing an Improved Version of the Bat Algorithm by Davar Giveki, Javad Ebrahimi, Maryam Sarshar

“…One of these disadvantages that reduces its efficiency is being trapped in the local optimum. To solve the mentioned problem in this research, the position and speed of the initial population is updated in three ways with different formulas, this makes the final answer of the problem not trapped in the local optimum and diversity occurs in the population. …”
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Improved RTAB-Map Algorithm Based on Visible Light Positioning by Po-Hao Hunag, Si-Chuan Liu, Cheng-Hsiung Yang

“…It is also crucial to recognize that sensors can have limitations, and their readings may not always be precise. This research presents an improved RTAB-Map algorithm based on visible light positioning. …”
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Research on the Local Dynamic Trajectory Planning Method Based on Relative Positioning by LUO Jiaxiang, YUAN Xiwen, HUANG Qiang

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Research on Multi-sensor Fusion Localization for Autonomous-rail Rapid Tram by PAN Wenbo, LI Yuanzhengyu, LONG Teng, CHEN Zhiwei, HUANG Wenyu, QIN Xiaohui

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