Hierarchical Deep Learning for Bearing Fault Detection in BLDC Motors Using Time-Frequency Analysis by Ahmed K. Ali, Wathiq Rafa Abed

“…We tested the proposed HTFICNN with data from BLDC motors and found that it works better than other deep learning models to detect bearing faults. Moreover, this work contributes to the advancement of fault diagnosis and predictive maintenance for BLDC motors, with potential applications in other fault detection scenarios.…”
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Emotional Interaction and Behavioral Decision-Making Mechanism in Network Science Education Based on Deep Learning by Pengjiao Li, Qian Meng

“…The purpose of this article is to study emotional interaction in deep learning network education and analyze the status quo of its behavioral decision-making mechanism. …”
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Deep Learning-Based Robust Automated System for Predicting Human Sperm DNA Fragmentation Index by Roopini Sathiasai Kumar, Swapnil Sharma, Arunima Halder, Vipin Gupta

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Mathematical modelling-based blockchain with attention deep learning model for cybersecurity in IoT-consumer electronics by Hayam Alamro, Mohammed Maray, Jawhara Aljabri, Saad Alahmari, Monir Abdullah, Jehad Saad Alqurni, Faiz Abdullah Alotaibi, Abdelmoneim Ali Mohamed

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Fault and Severity Diagnosis Using Deep Learning for Self-Organizing Networks With Imbalanced and Small Datasets by Hsin-Chang Tsai, Ming-Chun Lee, Chao-Hao Hsu

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DESNet: Real-time human pose estimation for sports applications combining IoT and deep learning by Rongbao Huang, Bo Zhang, Zhixin Yao, Bojun Xie, Jia Guo

“…However, current methods often fall short in balancing high accuracy with low computational resource requirements, especially in resource-constrained environments. Deep learning has shown significant potential in enhancing computer vision tasks, including human pose estimation. …”
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Versatile waste sorting in small batch and flexible manufacturing industries using deep learning techniques by Arso M. Vukicevic, Milos Petrovic, Nebojsa Jurisevic, Marko Djapan, Nikola Knezevic, Aleksandar Novakovic, Kosta Jovanovic

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Retracted: Deep Learning-Based Multitarget Motion Shadow Rejection and Accurate Tracking for Sports Video by null Complexity

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Improving Autonomous Vehicle Cognitive Robustness in Extreme Weather With Deep Learning and Thermal Camera Fusion by Mehmood Nawaz, Sheheryar Khan, Muhammad Daud, Muhammad Asim, Ghazanfar Ali Anwar, Ali Raza Shahid, Ho Pui Aaron HO, Tom Chan, Daniel Pak Kong, Wu Yuan

“…When integrated with RGB and LiDAR sensors, the thermal sensor becomes highly beneficial for detecting and locating objects in adverse weather conditions. The proposed deep learning-assisted multi-sensor fusion technique consists of two parts: (1) visual information fusion and (2) object detection using LiDAR, RGB, and Thermal sensors. …”
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Deep learning-based CT-free attenuation correction for cardiac SPECT: a new approach by Pei Yang, Zeao Zhang, Jianan Wei, Lisha Jiang, Liqian Yu, Huawei Cai, Lin Li, Quan Guo, Zhen Zhao

Subjects: “…Deep learning…”
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Automated classification of elongated styloid processes using deep learning models-an artificial intelligence diagnostics by Anuradha Ganesan, N. Gautham Kumar, Prabhu Manickam Natarajan, Jeevitha Gauthaman

Subjects: “…deep learning…”
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Application of Artificial Intelligence Virtual Image Technology in Photography Art Creation Under Deep Learning by Qiong Yao

Subjects: “…Deep learning…”
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The Short-Term Wind Power Forecasting by Utilizing Machine Learning and Hybrid Deep Learning Frameworks by Sunku V.S., Namboodiri V., Mukkamala R.

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Classification and Physical Characteristic Analysis of Fermi-GBM Gamma-Ray Bursts Based on Deep Learning by Jia-Ming Chen, Ke-Rui Zhu, Zhao-Yang Peng, Li Zhang

“…Compared to traditional classification methods (Amati and energy–hardness–duration methods), the new approach demonstrates significant advantages in classification accuracy and robustness without relying on redshift observations. The deep learning classification strategy proposed in this paper provides a more reliable tool for future GRB research.…”
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A deep learning analysis for dual healthcare system users and risk of opioid use disorder by Ying Yin, Elizabeth Workman, Phillip Ma, Yan Cheng, Yijun Shao, Joseph L. Goulet, Friedhelm Sandbrink, Cynthia Brandt, Christopher Spevak, Jacob T. Kean, William Becker, Alexander Libin, Nawar Shara, Helen M. Sheriff, Jorie Butler, Rajeev M. Agrawal, Joel Kupersmith, Qing Zeng-Trietler

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Retracted: Artificial Intelligence Technology Based on Deep Learning in Building Construction Management System Modeling by Advances in Multimedia

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A Deep Learning Based Traffic State Estimation Method for Mixed Traffic Flow Environment by Fan Ding, Yongyi Zhang, Rui Chen, Zhanwen Liu, Huachun Tan

“…This article presents a traffic state estimation method based on a deep learning algorithm under a low and dynamic CVs penetration rate environment. …”
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Prediction of Deformation of Hexagonal Honeycomb Blast Structure Under Explosive Loading Using Deep Learning by Mihaela MARIN, Florin-Bogdan MARIN

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Dataset for developing deep learning models to assess crack width and self-healing progress in concrete by Jacek Jakubowski, Kamil Tomczak

“…Abstract The presented dataset comes from an experimental study on the autogenous self-healing of high-strength concrete and the development of deep learning metasensor for crack width assessment and self-healing evaluation. …”
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Publisher Correction: Speech-based personality prediction using deep learning with acoustic and linguistic embeddings by Martin Lukac

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