Structural health monitoring and evaluation method for an immersed tunnel based on deep learning by Yuhang Wei, Jinfang Hou, Linhu Yang, Bin Li, Zonghao Ma, Zhao Liu, Wenhao Sun, Binlei Wang

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A rapid and efficient method for flash flood simulation based on deep learning by Xinying Wang, Miao Xiao, Yi Liu, Jun Guo, Yangyang Qin, Yunkang Zhang

“…Recently, the combination of deep learning methods and hydrodynamic models has shown superior performance in the simulation of urban and plain areas. …”
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Deep Learning-Based Layout Analysis Method for Complex Layout Image Elements by Yunfei Zhong, Yumei Pu, Xiaoxuan Li, Wenxuan Zhou, Hongjian He, Yuyang Chen, Lang Zhong, Danfei Liu

“…To address this problem, this paper proposes a method for analyzing the layout of complex layout image elements based on the improved DeepLabv3++ model. …”
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Multi-Task Water Quality Colorimetric Detection Method Based on Deep Learning by Shenlan Zhang, Shaojie Wu, Liqiang Chen, Pengxin Guo, Xincheng Jiang, Hongcheng Pan, Yuhong Li

“…To address this limitation, we propose a multi-task water quality colorimetric detection method based on YOLOv8n, leveraging deep learning techniques to achieve a fully automated process of “image input and result output”. …”
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Retracted: Research on Tennis Motion Evaluation Method and System Based on Deep Learning by International Transactions on Electrical Energy Systems

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Retracted: Badminton Backcourt Stroke Route Planning Method Based on Deep Learning by Journal of Mathematics

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Distributed robust scheduling of distribution-microgrid based on deep learning method integration by WANG Yihong, LIU Jichun, QIU Gao, ZHOU Hao, HE Peixin

“…Aiming at the problems such as the uncertainty of distributed power output and the low efficiency of operation in the coupled system scheduling of distribution network and microgrid, an optimized scheduling model of Branch-bar operation with chance constraint based on the integration of deep learning method for distribution network and microgrid interconnection system is proposed. …”
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Path Planning Method of Mobile Robot Using Improved Deep Reinforcement Learning by Wei Wang, Zhenkui Wu, Huafu Luo, Bin Zhang

“…A mobile robot path planning method based on improved deep reinforcement learning is proposed. …”
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Sharing Method of Online Teaching Resources of Spoken English Based on Deep Learning by Wei Cai, Yan Peng

“…The experimental research results show that the sharing method of online teaching resources of spoken English based on deep learning has a good resource sharing effect.…”
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Automatic Detection Method for Surface Diseases of Shield Tunnel Based on Deep Learning by WANG Baokun, WANG Rulu, CHEN Jinjian, PAN Yue, WANG Lujie

“…In order to achieve high-precision pixel-level detection of multiple surface diseases in metro shield tunnels, a semantic segmentation model SU-ResNet++ based on deep learning is proposed. First, the encoder SE-ResNet50 based on residual unit and attention mechanism is designed and pre-trained, using as the backbone network of U-Net++ to design a new neural network model. …”
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Deep Learning Method for Wetland Segmentation in Unmanned Aerial Vehicle Multispectral Imagery by Pakezhamu Nuradili, Ji Zhou, Guiyun Zhou, Farid Melgani

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Deep Reinforcement Learning Method for Wireless Video Transmission Based on Large Deviations by Yongxiao Xie, Shian Song

“…In scalable video transmission research, the video transmission process is commonly modeled as a Markov decision process, where deep reinforcement learning (DRL) methods are employed to optimize the wireless transmission of scalable videos. …”
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A trajectory planning and tracking method based on deep hierarchical reinforcement learning by Jiajie Zhang, Bao-Lin Ye, Xin Wang, Lingxi Li, Bo Song

“…To improve the driving efficiency of unmanned vehicles in a complex urban traffic flow environment and the safety and passenger comfort of vehicles when changing lanes, we propose a hierarchical reinforcement learning (HRL)-based vehicle trajectory planning and tracking method. …”
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A lightweight deep learning method to identify different types of cervical cancer by Md. Humaion Kabir Mehedi, Moumita Khandaker, Shaneen Ara, Md. Ashraful Alam, M. F. Mridha, Zeyar Aung

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Deep learning-based ranking method for subgroup and predictive biomarker identification in patients by Zihuan Liu, Yihua Gu, Xin Huang

“…Methods We introduce DeepRAB, a deep learning-based framework designed for exploring treatment effect heterogeneity by constructing individualized treatment rule (ITR). …”
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A Deep Learning Method for Automatic Coronal Mass Ejection Feature Identification by P. Yang, H. S. Fu, J. B. Cao, F. Shen

“…As space activities become increasingly frequent and infrastructure more reliant on space-based systems, the rapid and accurate detection and tracking of CMEs is critical. Here, we present a deep learning–based algorithm for automated CME feature extraction, comprising four key stages: image preprocessing, segmentation, tracking, and feature extraction. …”
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A deep-learning based method for accelerating dynamic reconfiguration of distribution networks by Yuxuan Wu, Tao Qian, Jingwen Ye, Qinran Hu, Qiangsheng Bu, Zhigang Ye

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Automatic Restoration of Dunhuang Murals and Process Visualization Method Based on Deep Learning by Miao Jia, Jie Hu, Zhongliang Yang, Weijie Liu, Jin Qi, Bin Chen

“…Using the deep learning model, professional restorers can provide visual feedback on the restoration process to directly compare the restoration patterns of different rounds. …”
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Pointer meters recognition method in the wild based on innovative deep learning techniques by Jiajun Feng, Haibo Luo, Rui Ming

“…We also combine the output of the decoder network and the output of the improved CBAM as inputs to the Object Heatmap-Scalarmap Module to find pointer tip heat map peaks and predict pointer pointing. The method proposed in this paper is compared with several deep learning networks. …”
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News Text Classification Method and Simulation Based on the Hybrid Deep Learning Model by Ningfeng Sun, Chengye Du

“…Then, on the basis of systematic research on text classification, deep learning, and news text classification theories, a deep learning-based network news text classification model is constructed, and the function of each module is introduced in detail, which will help the future news text classification of application and improvement provide theoretical basis. …”
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