Hyperparameter optimisation in deep learning from ensemble methods: applications to proton structure by Juan Cruz-Martinez, Aron Jansen, Gijs van Oord, Tanjona R Rabemananjara, Carlos M R Rocha, Juan Rojo, Roy Stegeman

“…While focusing on proton structure, our method is fully general and is applicable to any deep learning problem relying on hyperparameter optimisation for an ensemble of models.…”
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Scene Matching Method for Children’s Psychological Distress Based on Deep Learning Algorithm by Junli Su

“…The study results of this paper provide a reference for further researches on the scene matching method for children’s psychological distress based on deep learning algorithm.…”
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Pose measurement method for coal mine drilling robot based on deep learning by Jiangnan LUO, Jianping LI, Hongxiang JIANG, Deyi ZHANG

“…To address the challenge of measuring the drilling position in underground coal mines, a deep learning-based method is proposed. This method consists of two parts: a segmentation model based on an improved PointNet++ and a point cloud registration process using the drill head and gripper. …”
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Deep Learning-Based Detection and Identification Method for Sports Health Video Dissemination by Yajun Pang

“…Sports health is gradually attracting attention, and computer vision technology is integrated into sports health to improve the quality of sports and increase the motivation of athletes. A deep learning sports health video propagation detection and recognition system is built through the mode of video propagation to provide real-time training information for sports and scientific body index parameters and exercise data for sports health programs. …”
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The automatic segmentation of the temporomandibular joint based on MRI using deep learning method by LIU Fei, ZHANG Jiulou, JIN Ruofan, ZHANG Nan, ZHOU Weina

“…Objective To build an automatic segmentation model of temporomandibular joint(TMJ) based on magnetic resonance imaging(MRI) using deep learning method. Methods The MRI data of TMJ of 104 subjects were collected, with the articular disc, condyle and glenoid fossa marked. …”
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Power Equipment Image Recognition Method Based on Feature Extraction and Deep Learning by Shuang Lin

“…This paper proposes an improved attention mechanism-based network for image detection and recognition of power equipment. The proposed method introduces a target feature prediction strategy tailored to power equipment: it incorporates a learning mechanism for depth variation to extract deep semantic information from images; enhances the global structure learning network module by stacking convolutional kernels and removing pooling layers in the front-end network, thereby acquiring prior information rich in detailed and correlated image features of power equipment. …”
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Short-Term Traffic Flow Prediction: A Method of Combined Deep Learnings by Chuanxiang Ren, Chunxu Chai, Changchang Yin, Haowei Ji, Xuezhen Cheng, Ge Gao, Heng Zhang

“…Although the application of deep learning methods for traffic flow prediction has achieved good accuracy, the problem of combining multiple deep learning methods to improve the prediction accuracy of a single method still has a margin for in-depth research. …”
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Android malware detection method based on byte-code image and deep learning by Tieming CHEN, Binbin XIANG, Mingqi LV, Bo CHEN, Xie JIANG

“…A new Android malware detection method based on byte-code image and deep learning was proposed. …”
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Deep Learning-Based Invalid Point Removal Method for Fringe Projection Profilometry by Nan He, Jiachun Huang, Shaoli Liu, Sizhe Fan, Jianhua Liu, Jia Hu, Hao Gong

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A Stock Prediction Method Based on Deep Reinforcement Learning and Sentiment Analysis by Sha Du, Hailong Shen

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Laor Initialization: A New Weight Initialization Method for the Backpropagation of Deep Learning by Laor Boongasame, Jirapond Muangprathub, Karanrat Thammarak

“…It performed optimally with a batch size of 32 and a learning rate between 0.001 and 0.01. These findings establish Laor as a robust alternative to conventional methods, suitable for moderately deep architectures. …”
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Deep Learning-Based Method for Detecting Traffic Flow Parameters Under Snowfall by Cheng Jian, Tiancheng Xie, Xiaojian Hu, Jian Lu

“…The initial two stages propose a deep learning network for removing snow particles and snow streaks, resulting in an 8.6% enhancement in vehicle recognition accuracy after snow removal, specifically under moderate snow conditions. …”
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Arabic Speech Classification Method Based on Padding and Deep Learning Neural Network by Asroni Asroni, Ku Ruhana Ku-Mahamud, Cahya Damarjati, Hasan Basri Slamat

“…To overcome this issue, a method based on padding and deep learning convolution neural network is proposed to evaluate the pronunciation of the Arabic alphabet. …”
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Vocal performance evaluation of the intelligent note recognition method based on deep learning by Dongyun Chang

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Feasibility of the Anchor-Free Deep Learning Method in Coronary Stenosis Automatic Detection by Hanlin Yue, Wei Yu, Ji Dong, Yunfei Lai, You Wu, Haixia Zhao, Yiwei Song, Li Zhao, Hui Wang, Jing Zhang, Xinping Xu, Binwei Yao, Jianghao Zhao, Kexian Wang, Yue Sun, Haoyu Wang, Ruiyun Peng

“…The main purpose of this paper was to investigate the feasibility of an anchor-free deep learning (DL) method, fully convolutional one-stage object detection (FCOS), in coronary artery stenosis automatic detection. …”
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A Deep Learning-Based Method for Object Workpiece Recognition and Grasp Detection by Yunhan Li, Jingjing Lou, Zhiduan Cai, Chuan Ye, Ruichao Zhao, Yuhang Jiang

“…To address this, this paper proposes a target object detection network (YOLO-Net) that integrates feature fusion and attention mechanisms. First, a deep learning-based object detection model is developed to effectively mitigate the interference caused by uneven lighting, accurately extracting the features of the target objects. …”
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Fault Location Method for Communication Link in Smart Substation Based on Deep Learning by Zhiyong PI, Yi ZHU, Xuan LIAO, Zhenxing LI, Hao FANG, Pei WU

“…Aiming at the problem of low troubleshooting efficiency of communication link faults caused by complex links in smart substation, a deep learning based fault location method for intelligent substation communication link of smart substation is proposed. …”
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A Method of Smoke Area Segmentation for Infrared Images Based on Deep Learning by QI Hang, YUAN Jianquan, LI Lei, REN Jun, LIANG Jie

“…In this paper, we proposed a smoke area segmentation method for infrared images based on deep learning. …”
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GGSYOLOv5: Flame recognition method in complex scenes based on deep learning. by Fucai Sun, Liping Du, Yantao Dai

“…News of the fire is not uncommon, and fire has become the biggest hidden danger threatening the safety of public life and property. In this paper, a deep learning-based flame recognition method for complex scenes, GGSYOLOv5, is proposed. …”
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Fault Diagnosis of Rolling Bearing Based on Modified Deep Metric Learning Method by Zengbing Xu, Xiaojuan Li, Hui Lin, Zhigang Wang, Tao Peng

“…A novel fault diagnosis method of rolling bearing based on deep metric learning and Yu norm is proposed in this paper, which is called a deep metric learning method based on Yu norm (DMN-Yu). …”
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