Research progress and trends of deep learning based wireless communication receiving method by Panpan LI, Zhengxia XIE, Guangxue YUE, Xin LIU

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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 novel deep learning based time-varying channel prediction method by Jie ZHANG, Lihua YANG, Zenghao WANG, Bo HU, Qian NIE

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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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A Fault Diagnosis Approach of Gear System based on Deep Learning Theory by Wenbo Xu, Yafeng Ren, Bing Han

“…Comparing with other models， the fault recognition accuracy of the comprehensive evaluation model based on deep learning is higher.…”
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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 and Its Role in Diagnosing Heart Diseases Based on Electrocardiography (ECG) by Qaswaa Khaled Abood

“…Therefore, the basic idea in this research was to shed light on the diagnosis of heart diseases by relying on deep learning of a pre-trained model (Efficient b3) under the premise of using the electrical signals of the electrocardiogram and resample the signal in order to introduce it to the neural network with only trimming processing operations because it is an electrical signal whose parameters cannot be changed. …”
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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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Automatic brake Driver Assistance System based on deep learning and fuzzy logic. by A R García-Escalante, R Q Fuentes-Aguilar, A Palma-Zubia, E Morales-Vargas

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The Study on Modeling of Global Plasmaspheric Hiss Amplitude Based on Deep Learning Algorithm by Rongxin Tang, Zhenghan Wang, Haimeng Li, Zhou Chen, Zhihai Ouyang, Xiaohua Deng

“…In this study, the realistic variation model of plasmaspheric waves is established based on deep learning technology. Using Light Gradient Boosting Machine and Permutation Importance methods, we first select optimal indices and corresponding historical time series associated with variation of plasmaspheric hiss waves. …”
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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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High-capacity image steganography algorithm combining image encryption and deep learning by Xiaoyuan YANG, Xinliang BI, Jia LIU, Siyuan HUANG

Subjects: “…deep learning…”
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