Clustering-Based Multiple Imputation via Gray Relational Analysis for Missing Data and Its Application to Aerospace Field by Jing Tian, Bing Yu, Dan Yu, Shilong Ma

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Addressing uncertainty in identifying pregnancies in the English CPRD GOLD Pregnancy Register: a methodological study using a worked example by Yangmei Li, Jennifer J Kurinczuk, Fiona Alderdice, Maria A Quigley, Oliver Rivero-Arias, Julia Sanders, Sara Kenyon, Dimitrios Siassakos, Nikesh Parekh, Suresha De Almeida, Claire Carson

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Research on an Aerial Docking Strategy for Meta-UAVs Using Aerodynamic Data Surrogate Models by Kangwen Sun, Yixiang Gao, Zhiyao Wang, Haoquan Liang, Chenxuan Zhao, Xinzhe Ji

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Operation strategy analysis for the passenger and freight shared transportation system by Zuoning Jia, Siyuan Yang, Kun An, Wanjing Ma

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Real-Time Detection and Counting of Melted Spatter Particles During Deposition of Biomedical-Grade Co-Cr-Mo-4Ti Powder Using the Micro-Plasma Transferred Arc Additive Manufacturing... by Sagar Nikam, Sonya Coleman, Dermot Kerr, Neelesh Kumar Jain, Yash Panchal, Deepika Nikam

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Hierarchical proxy consensus optimization for IoV based on blockchain and trust value by Baoqin ZHAI, Jian WANG, Lei HAN, Jiqiang LIU, Jiahao HE, Tianhao LIU

“…With the rapid development of Internet of vehicles, 5G and artificial intelligence technologies, intelligent transportation has become the development trend of transportation technology.As a vehicle-vehicle and vehicle-road information interaction platform, the Internet of vehicles is the basic support platform for intelligent traffic information sharing and processing.At the same time, the security of Internet of vehicles has attracted much attention, especially data security which may cause user privacy leakage.The blockchain technology has become a solution, but it still faces new challenges in efficiency, security and other aspects.With the increase of vehicle nodes and information, how to efficiently achieve information consensus in high-speed vehicle moving environment has become a key problem.Then a bottom-up RSU (road side unit) chain consensus protocol was proposed based on blockchain and trust value.Several typical consensus structures were compared, and bottom-up two-layer consensus structure was adopted according to the actual scenarios of the Internet of vehicles.Moreover, a group leader node election algorithm was proposed which is based on node participation, work completion and message value.The system security was ensured by assigning trust value to each vehicle.Following the consensus structure and algorithm work mentioned above, the specific process of the protocol was comprehensively described, which was divided into six steps: region division, group leader node selection, local consensus, leader primary node selection, global consensus, and intra-domain broadcast.Then the experiments were analyzed from four aspects: security, communication complexity, consensus algorithm delay and fault tolerance rate.Experiments showed that, compared with other schemes, the proposed protocol can effectively reduce communication complexity and shorten consensus delay under the condition of resisting conspiracy attack, witch attack and other attacks.On the premise of security, the protocol improves fault tolerance rate and enables more nodes to participate in information sharing to satisfy the requirements of Internet of vehicles scenarios.…”
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Optimization of cold chain logistics distribution path considering traffic condition and replenishment along the way. by Wu Kai, Lu Zhijiang, Bai E

“…Road traffic congestion on the cold chain logistics not only increase the cost and time, but also creates certain negative impact on the national carbon emissions. …”
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Analysis of Coordinated Operation of the Clean Energy System Based on the Multiobjective Optimization Model by Xunyang Wang, Zhicheng Ma, Chen Liang, Shien He, Yongqiang Wang

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Improvement of Multiclass Classification of Pavement Objects Using Intensity and Range Images by Elham Eslami, Hae-Bum Yun

“…Despite recent advances in developing computer vision algorithms, it is still challenging to analyze road images due to the low contrast, background noises, object diversity, and variety of lighting conditions. …”
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Analysis of Optical Errors in Joint Fabry–Pérot Interferometer–Fourier-Transform Imaging Spectroscopy Interferometric Super-Resolution Systems by Yu Zhang, Qunbo Lv, Jianwei Wang, Yinhui Tang, Jia Si, Xinwen Chen, Yangyang Liu

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Energy Efficiency Assessment of Electric Bicycles by Tomasz Matyja, Zbigniew Stanik, Andrzej Kubik

“…The core of the method is an algorithm developed by the authors to determine the tractive force acting on the bicycle and rider, based on a minimal set of recorded data: road incline, riding speed, and the wind speed component parallel to the direction of movement. …”
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Slot Allocation Protocol for UAV Swarm Ad Hoc Networks: A Distributed Coalition Formation Game Approach by Liubin Song, Daoxing Guo

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Estimating the Capacity of Urban Transportation Networks with an Improved Sensitivity Based Method by Muqing Du, Xiaowei Jiang, Lin Cheng

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Constructing the commuting backbone network dataset for the United States by Jinpeng Wang, Yujie Hu

“…These connections are then mapped to the road network to determine shortest driving paths, and aggregated to highlight heavily used road segments, resulting in the backbone road network. …”
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DK-Port: construction and validation of port autonomous driving simulation environment based on large language models and reinforcement learning by LOU Yunjie, AI Mingfei, ZHUANG Shujie, YU Hai, WANG Xin, TENG Chu, WANG Jiangcheng, SHEN Tianyu, HAO Kunkun, CUI Wen

“…To address the lack of port-specific autonomous driving data and improve algorithm generalization while reducing development costs and time, this paper proposes a simulation environment for port autonomous driving called DK-Port. …”
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DK-Port: construction and validation of port autonomous driving simulation environment based on large language models and reinforcement learning by LOU Yunjie, AI Mingfei, ZHUANG Shujie, YU Hai, WANG Xin, TENG Chu, WANG Jiangcheng, SHEN Tianyu, HAO Kunkun, CUI Wen

“…To address the lack of port-specific autonomous driving data and improve algorithm generalization while reducing development costs and time, this paper proposes a simulation environment for port autonomous driving called DK-Port. …”
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rhBNN+ Comprehensive Detections and Analyses of the Human Body Temperatures and Sounds by the Same Smart Mask by Bingcan Liao, Pin Sun, Shuyi Chen, Rihong Huang, Junyu Yang, Guofeng Li, Chengzhi Lv, Nan Zhu, Shui Guan, Hailong Liu, Rong Liu, Ali Mansouri, Changkai Sun

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Toward sustainable machining of hardened SKD11: Machine learning-based evaluation and optimization of surface roughness, tool wear, and CO2 emissions by Van-Canh Nguyen, Dung Hoang Tien, Van-Hung Pham, Thinh-Viet Nguyen, Thuy-Duong Nguyen

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Cluster Analysis Based Arc Detection in Pantograph-Catenary System by Shize Huang, Liangliang Yu, Fan Zhang, Wei Zhu, Qiyi Guo

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Enhancing Laser-Induced Breakdown Spectroscopy Quantification Through Minimum Redundancy and Maximum Relevance-Based Feature Selection by Manping Wang, Yang Lu, Man Liu, Fuhui Cui, Rongke Gao, Feifei Wang, Xiaozhe Chen, Liandong Yu

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