Search Results - "Shen, Weiming"

Optimal Relay Selection for Physical-Layer Security in Cooperative Wireless Networks by Zou, Yulong, Wang, Xianbin, Shen, Weiming

“…In this paper, we explore the physical-layer security in cooperative wireless networks with multiple relays where both amplify-and-forward (AF) and…”
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Internet of Things in Marine Environment Monitoring: A Review by Xu, Guobao, Shi, Yanjun, Sun, Xueyan, Shen, Weiming

“…Marine environment monitoring has attracted more and more attention due to the growing concern about climate change. During the past couple of decades,…”
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Applications of wireless sensor networks in marine environment monitoring: a survey by Xu, Guobao, Shen, Weiming, Wang, Xianbin

“…With the rapid development of society and the economy, an increasing number of human activities have gradually destroyed the marine environment. Marine…”
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Physical-Layer Security with Multiuser Scheduling in Cognitive Radio Networks by Zou, Yulong, Wang, Xianbin, Shen, Weiming

“…In this paper, we consider a cognitive radio network that consists of one cognitive base station (CBS) and multiple cognitive users (CUs) in the presence of…”
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Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning by Xu, Gaowei, Liu, Min, Jiang, Zhuofu, Söffker, Dirk, Shen, Weiming

“…Recently, research on data-driven bearing fault diagnosis methods has attracted increasing attention due to the availability of massive condition monitoring…”
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Security Versus Reliability Analysis of Opportunistic Relaying by Yulong Zou, Xianbin Wang, Weiming Shen, Hanzo, Lajos

“…Physical-layer security is emerging as a promising paradigm of securing wireless communications against eavesdropping between legitimate users, when the main…”
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Agent-based distributed manufacturing process planning and scheduling: a state-of-the-art survey by Wang, L, Hao, Q

“…Manufacturing process planning is the process of selecting and sequencing manufacturing processes such that they achieve one or more goals and satisfy a set of…”
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Hybrid Loss-Constrained Lightweight Convolutional Neural Networks for Cervical Cell Classification by Chen, Wen, Shen, Weiming, Gao, Liang, Li, Xinyu

“…Artificial intelligence (AI) technologies have resulted in remarkable achievements and conferred massive benefits to computer-aided systems in medical imaging…”
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Toward Energy-Efficient Routing of Multiple AGVs with Multi-Agent Reinforcement Learning by Ye, Xianfeng, Deng, Zhiyun, Shi, Yanjun, Shen, Weiming

“…This paper presents a multi-agent reinforcement learning (MARL) algorithm to address the scheduling and routing problems of multiple automated guided vehicles…”
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Multishelled Transition Metal‐Based Microspheres: Synthesis and Applications for Batteries and Supercapacitors by Liu, Yang, Li, Xiangcun, Shen, Weiming, Dai, Yan, Kou, Wei, Zheng, Wenji, Jiang, Xiaobin, He, Gaohong

“…With the rapid growth of material innovations, multishelled hollow nanostructures are of tremendous interest due to their unique structural features and…”
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An IoT-Based Online Monitoring System for Continuous Steel Casting by Zhang, Feng, Liu, Min, Zhou, Zhuo, Shen, Weiming

“…Monitoring solutions using the Internet of Things (IoT) techniques, can continuously gather sensory data, such as temperature and pressure, and provide…”
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A Novel Point Cloud Encoding Method Based on Local Information for 3D Classification and Segmentation by Song, Yanan, Gao, Liang, Li, Xinyu, Shen, Weiming

“…Deep learning is robust to the perturbation of a point cloud, which is an important data form in the Internet of Things. However, it cannot effectively capture…”
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A Two-Level WiFi Fingerprint-Based Indoor Localization Method for Dangerous Area Monitoring by Li, Fei, Liu, Min, Zhang, Yue, Shen, Weiming

“…Localization technologies play an important role in disaster management and emergence response. In areas where the environment does not change much after an…”
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Anisotropic-Scale Junction Detection and Matching for Indoor Images by Xue, Nan, Xia, Gui-Song, Bai, Xiang, Zhang, Liangpei, Shen, Weiming

“…Junctions play an important role in characterizing local geometrical structures of images, and the detection of which is a longstanding but challenging task…”
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Knowledge transfer in fault diagnosis of rotary machines by Liu, Guokai, Shen, Weiming, Gao, Liang, Kusiak, Andrew

“…Data‐driven fault diagnosis has prevailed in machine condition monitoring in the past decades. However, traditional machine‐ and deep‐learning‐based fault…”
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Multi-granularity resource virtualization and sharing strategies in cloud manufacturing by Liu, Ning, Li, Xiaoping, Shen, Weiming

“…Cloud Manufacturing is a new and promising manufacturing paradigm. Resource virtualization is critical for Cloud Manufacturing. It encapsulates physical…”
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A novel intelligent manufacturing mode with human-cyber-physical collaboration and fusion in the non-ferrous metal industry by Liu, Qing, Liu, Min, Wang, Zichun, Yan, Feng, Ma, Yingyi, Shen, Weiming

“…The non-ferrous metal industry is one of the most important parts of China’s process industry and has an extremely important strategic position in the national…”
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Industrial‐generative pre‐trained transformer for intelligent manufacturing systems by Wang, Han, Liu, Min, Shen, Weiming

“…Manufacturing enterprises are facing how to utilise industrial knowledge and continuously accumulating massive unlabelled data to achieve human‐cyber‐physical…”
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A comparative study of pre-screening strategies within a surrogate-assisted multi-objective algorithm framework for computationally expensive problems by Li, Fan, Gao, Liang, Garg, Akhil, Shen, Weiming, Huang, Shifeng

“…The multi-offspring method has been recognized as an efficient approach to enhance the performance of multi-objective evolutionary algorithms. However, some…”
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Towards product customization and personalization in IoT-enabled cloud manufacturing by Yang, Chen, Lan, Shulin, Shen, Weiming, Huang, George Q., Wang, Xianbin, Lin, Tingyu

“…Customized/personalized products are gaining more shares in today’s product market. Such products need collective efforts from consumers, manufacturers and…”
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