Overview of Deep Learning and Nondestructive Detection Technology for Quality Assessment of Tomatoes by Yuping Huang, Ziang Li, Zhouchen Bian, Haojun Jin, Guoqing Zheng, Dong Hu, Ye Sun, Chenlong Fan, Weijun Xie, Huimin Fang

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Violence Detection From Industrial Surveillance Videos Using Deep Learning by Hamza Khan, Xiaohong Yuan, Letu Qingge, Kaushik Roy

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Deep learning technology: enabling safe communication via the internet of things by Ramiz Salama, Hitesh Mohapatra, Tuğşad Tülbentçi, Fadi Al-Turjman

Subjects: “…Deep learning (DL)…”
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A Novel Multimode Fault Classification Method Based on Deep Learning by Funa Zhou, Yulin Gao, Chenglin Wen

“…This paper proposes a multimode classification method based on deep learning by constructing a hierarchical DNN model with the first hierarchy specially devised for the purpose of mode partition. …”
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Deep Learning Techniques in DICOM Files Classification: A Systematic Review by Mabirizi, Vicent, Kawuma, Simon, Natumanya, Deborah, Wasswa, William

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Automated recognition and segmentation of lung cancer cytological images based on deep learning. by Qingyang Wang, Yazhi Luo, Ying Zhao, Shuhao Wang, Yiru Niu, Jinxi Di, Jia Guo, Guorong Lan, Lei Yang, Yu Shan Mao, Yuan Tu, Dingrong Zhong, Pei Zhang

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Explainable analysis of infrared and visible light image fusion based on deep learning by Bo Yuan, Hongyu Sun, YinJing Guo, Qiang Liu, Xinghao Zhan

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Foreign object debris detection in lane images using deep learning methodology by Priyadharsini S., Bhuvaneshwara Raja K., Kousi Krishnan T., Senthil Kumar Jagatheesaperumal, Bader Fahad Alkhamees, Mohammad Mehedi Hassan

“…Methods This work proposes a video-based deep learning methodology to address the high cost of radar-based FOD detection. …”
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Road Adhesion Coefficient Estimation Based on Vehicle-Road Coordination and Deep Learning by Chunjie Li, Pan Liu, Zhenlong Xie, Zhibin Li, Huan Huan

“…Therefore, this paper proposes a road adhesion coefficient estimation method based on vehicle-road coordination and deep learning. Firstly, a vehicle-based data feedback system combined with a vehicle-road network cloud is introduced, and CarSim simulation is used to expand the data set and train the model effectively. …”
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Optimal Placement of Hybrid Wind-Solar System Using Deep Learning Model by Sundeep Siddula, G. K. Prashanth, Praful Nandankar, Ram Subbiah, Saikh Mohammad Wabaidur, Essam A. Al-Ammar, M. H. Siddique, Subash Thanappan

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A Deep Learning Anomaly Detection Framework for Satellite Telemetry with Fake Anomalies by Yakun Wang, Jianglei Gong, Jie Zhang, Xiaodong Han

“…Then, we use the Long Short-Term Memory (LSTM), a deep learning method, to model the multivariable time-series data, and a Gaussian model to detect anomalies. …”
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AI-Driven precision in solar forecasting: Breakthroughs in machine learning and deep learning by Ayesha Nadeem, Muhammad Farhan Hanif, Muhammad Sabir Naveed, Muhammad Tahir Hassan, Mustabshirha Gul, Naveed Husnain, Jianchun Mi

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Deep Learning for Predicting the Difficulty Level of Removing the Impacted Mandibular Third Molar by Vorapat Trachoo, Unchalisa Taetragool, Ploypapas Pianchoopat, Chatchapon Sukitporn-udom, Narapathra Morakrant, Kritsasith Warin

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Deep learning modeling of manufacturing and build variations on multistage axial compressors aerodynamics by Giuseppe Bruni, Sepehr Maleki, Senthil K. Krishnababu

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In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models Against Variability by Azhar Ali Khaked, Nobuyuki Oishi, Daniel Roggen, Paula Lago

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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

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Retracted: Deep-Learning-Guided Point Cloud Modeling with Applications in Intelligent Manufacturing by Applied Bionics and Biomechanics

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Enhanced classification of medicinal plants using deep learning and optimized CNN architectures by Hicham Bouakkaz, Mustapha Bouakkaz, Chaker Abdelaziz Kerrache, Sahraoui Dhelim

“…To address this issue, a deep learning-based framework is proposed in the research for classifying images related to medicinal plants using convolutional neural networks (CNNs). …”
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Reducing Data Volume in News Topic Classification: Deep Learning Framework and Dataset by Luigi Serreli, Claudio Marche, Michele Nitti

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A Deep-Learning Prediction Model for Imbalanced Time Series Data Forecasting by Chenyu Hou, Jiawei Wu, Bin Cao, Jing Fan

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