Object detection in motion management scenarios based on deep learning. by Baocheng Pei, Yanan Sun, Yebiao Fu, Ting Ren

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Deep Learning for Automatic Recognition of Magnetic Type in Sunspot Groups by Yuanhui Fang, Yanmei Cui, Xianzhi Ao

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Comparative analysis of deep learning models for crack detection in buildings by S. Siva Rama Krishnan, M. K. Nalla Karuppan, Adil O. Khadidos, Alaa O. Khadidos, Shitharth Selvarajan, Saarthak Tandon, Balamurugan Balusamy

“…We also train and validate several deep learning models to classify brickwork images as either cracked or normal. …”
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Deep learning-based differential gut flora for prediction of Parkinson’s by Bo Yu, Hang Zhang, Min Zhang

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Retracted: Cleanup Sketched Drawings: Deep Learning-Based Model by Applied Bionics and Biomechanics

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Research on the Application of Deep Learning Methods in the Field of Image Classification by Peng Yuhui

“…The application of deep learning methods such as Convolutional Neural Network, Recurrent Neural Networks and Long Short-Term Memory in image classification is also discussed. …”
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Review on Deep Learning and Neural Network Implementation for Emotions Recognition by Renas Rajab Asaad

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A review of deep learning for brain tumor analysis in MRI by Felix J. Dorfner, Jay B. Patel, Jayashree Kalpathy-Cramer, Elizabeth R. Gerstner, Christopher P. Bridge

“…Abstract Recent progress in deep learning (DL) is producing a new generation of tools across numerous clinical applications. …”
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Research and development of hash retrieval technology based on deep learning by Mingwen YUAN, Jiangbo QIAN, Yihong DONG, Huahui CHEN

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Driver Lane-Changing Behavior Prediction Based on Deep Learning by Cheng Wei, Fei Hui, Asad J. Khattak

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Application of Rotating Machinery Fault Diagnosis Based on Deep Learning by Wei Cui, Guoying Meng, Aiming Wang, Xinge Zhang, Jun Ding

“…The fault diagnosis technology of rotating machinery is one of the key means to ensure the normal operation of equipment and safe production, which has very important significance. Deep learning is a useful tool for analyzing and processing big data, which has been widely used in various fields. …”
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Feature Extraction and Classification of Music Content Based on Deep Learning by Qianqiu Shi, Young Chun Ko

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Analysis of the Application of Deep Learning in Model Reconstruction of Ancient Buildings by Zhihong Wang, Hao Xiong

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A Deep Learning Model for the Thermospheric Nitric Oxide Emission by Xuetao Chen, Jiuhou Lei, Dexin Ren, Wenbin Wang

Subjects: “…deep learning…”
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Blood cancer prediction model based on deep learning technique by Amr I. Shehta, Mona Nasr, Alaa El Din M. El Ghazali

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Deep Learning-Based Identification of Echocardiographic Abnormalities From Electrocardiograms by Goro Fujiki, MD, Satoshi Kodera, MD, PhD, Naoto Setoguchi, MD, Kengo Tanabe, MD, PhD, Kotaro Miyaji, MD, PhD, Shunichi Kushida, MD, PhD, Mike Saji, MD, PhD, Mamoru Nanasato, MD, PhD, Hisataka Maki, MD, PhD, Hideo Fujita, MD, PhD, Nahoko Kato, MD, PhD, Hiroyuki Watanabe, MD, PhD, Minami Suzuki, MD, Masao Takahashi, MD, PhD, Naoko Sawada, MD, PhD, Jiro Ando, MD, Masataka Sato, MD, Shinnosuke Sawano, MD, PhD, Susumu Katsushika, MD, PhD, Hiroki Shinohara, MD, PhD, Norifumi Takeda, MD, PhD, Katsuhito Fujiu, MD, PhD, Hiroshi Akazawa, MD, PhD, Hiroyuki Morita, MD, PhD, Issei Komuro, MD, PhD

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Deep Learning Applications in Ionospheric Modeling: Progress, Challenges, and Opportunities by Renzhong Zhang, Haorui Li, Yunxiao Shen, Jiayi Yang, Wang Li, Dongsheng Zhao, Andong Hu

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Research on Human Pose Capture Based on the Deep Learning Algorithm by Wenbin Xie, Xueyun Gu, Xiuming Li, Luqi Zheng, Guodong Li, Haisheng Lu, Huakang Li

“…A method based on the deep learning algorithm is proposed to accurately capture the posture of the human body. …”
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Analysis of The Role of Deep Learning Models in Image Classification Applications by Li Xiang

“…The integration of deep learning models, particularly Convolutional Neural Networks (CNNs) and Support Vector Machines (SVMs), has revolutionized this process, enabling the development of automated, fast, and practical systems. …”
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A Comprehensive Survey of Deep Learning Approaches in Image Processing by Maria Trigka, Elias Dritsas

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