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Editorial: Introduction to the Special Issue on AI, Machine Learning, and Deep Learning: Advances and Applications for EMC

by Duffy, Alistair, Liu, En-Xiao
Published in IEEE transactions on electromagnetic compatibility (01.12.2024)

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Call for Papers: Special Issue on AI, Machine Learning, and Deep Learning: Advances and Applications for EMC

Published in IEEE transactions on electromagnetic compatibility (01.12.2023)

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Call for Papers: Special Issue on AI, Machine Learning, and Deep Learning: Advances and Applications for EMC

Published in IEEE transactions on electromagnetic compatibility (01.12.2023)

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Call for Papers: Special Issue on AI, Machine Learning, and Deep Learning: Advances and Applications for EMC

Published in IEEE transactions on electromagnetic compatibility (01.02.2024)

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DEEP LEARNING IN THE ERA OF BIG DATA: FOUNDATIONS, ADVANCES, APPLICATIONS, CHALLENGES, AND FUTURE DIRECTIONS

Published in International journal of advanced research (Indore)

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Advances in physics-informed deep learning for imaging data: a review of methods and applications

by Yogita, Yogita, Bocklitz, Thomas
Published in JPhys photonics (31.10.2025)

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Deep learning-based advances and applications for single-cell RNA-sequencing data analysis

by Bao, Siqi, Li, Ke, Yan, Congcong, Zhang, Zicheng, Qu, Jia, Zhou, Meng
Published in Briefings in bioinformatics (17.01.2022)

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IEEE Access Special Section Editorial: Trends and Advances in Bio-Inspired Image-Based Deep Learning Methodologies and Applications

by Peer, Peter, Travieso-Gonzalez, Carlos M., Asari, Vijayan K., Dutta, Malay Kishore
Published in IEEE access (2021)

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Contemporary Trends and Challenges and Advances, in the Manufacturing Industry, with a special focus on applications of Artificial Intelligence and Deep Learning

Published in European Economic Letters

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Special issue on Recent Advances in Fuzzy Deep Learning for Uncertain Medicine Data

by Ding, Weiping, Liu, Jun, Lin, Chin‐Teng, Mrozek, Dariusz
Published in Information sciences (01.09.2023)

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Special issue: Recent advances in deep learning, biometrics, health informatics and data science

by Fernandes, Steven Lawrence, Martis, Roshan Joy, Lin, Hong, Javadi, Bahman, Tanik, Urcun John, Sharif, Muhammad
Published in Expert systems (01.08.2022)

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Neurocomputing guest editorial for the special issue: Advances in deep and shallow machine learning approaches for handling data irregularities

by Das, Swagatam, Garcia, Salvador, Triguero, Isaac
Published in Neurocomputing (Amsterdam) (02.01.2021)

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CJRS' Special Issue on Deep Learning for Environmental Applications of Remote Sensing Data

by Mahdianpari, Masoud, Homayouni, Saeid, Foucher, Samuel
Published in Canadian journal of remote sensing (04.03.2021)

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XCSR Learning from Compressed Data Acquired by Deep Neural Network

by Matsumoto, Kazuma, Tatsumi, Takato, Sato, Hiroyuki, Kovacs, Tim, Takadama, Keiki
Published in Journal of advanced computational intelligence and intelligent informatics (20.09.2017)

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Call for Special Issue Papers: Deep Learning Assisted Big Data Analytics for Biomedical Applications and Digital Healthcare

by Wang, Gai-Ge, Gao, Xiao-Zhi, Pei, Yan
Published in Big data (01.12.2021)

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Editor’s Note - Special Issue on Deep vs. Shallow: Learning for Emerging Web-scale Data Computing and Applications

Published in World wide web (Bussum) (15.03.2019)

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Call for Special Issue Papers: Deep Learning Assisted Big Data Analytics for Biomedical Applications and Digital Healthcare

by Wang, Gai-Ge, Gao, Xiao-Zhi, Pei, Yan
Published in Big data (01.02.2022)

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Deep learning approaches and data augmentation for melanoma detection

by Alzamel, Mai, Iliopoulos, Costas, Lim, Zara
Published in Neural computing & applications (01.06.2025)

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Exploring distribution-based approaches for out-of-distribution detection in deep learning models

by Carvalho, Thiago, Vellasco, Marley, Amaral, José Franco
Published in Neural computing & applications (01.06.2025)

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CM-MLP: hybrid convmixer-deep MLP architecture for enhanced identification of corn and apple leaf diseases

by Li, Li-Hua, Tanone, Radius
Published in Neural computing & applications (01.06.2025)

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