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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

“…). While AI has been a staple of science fiction for decades with actual applications in engineering and sciences for many years, it is only in the last year or so that generative AI tools have enthused…”
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Call for Papers: Special Issue on AI, Machine Learning, and Deep Learning: Advances and Applications for EMC

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

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

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Special Issue on Advances in Deep Learning by Gragnaniello, Diego, Bottino, Andrea, Cumani, Sandro, Kim, Wonjoon

“…Nowadays, deep learning is the fastest growing research field in machine learning and has a tremendous impact on a plethora of daily life applications, ranging from security and surveillance…”
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Special Issue “Advances in Machine Learning and Deep Learning Based Machine Fault Diagnosis and Prognosis” by Djeziri, Mohand, Bendahan, Marc

“…Fault diagnosis and failure prognosis aim to reduce downtime of the systems and to optimise their performance by replacing preventive and corrective…”
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Special Issue “Advances in Machine and Deep Learning in the Health Domain” by Celesti, Antonio, De Falco, Ivanoe, Galletta, Antonino, Sannino, Giovanna

“…Machine and deep learning techniques are fuelling a revolution in the health domain and are attracting the interest of many cross-disciplinary research groups…”
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Special Issue “Advances in Machine Learning and Deep Learning Based Machine Fault Diagnosis and Prognosis” by Djeziri, Mohand, Bendahan, Marc

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Recent advances in pulmonary tuberculosis, the application of deep learning to medical topics, and highlights from this issue of Ewha Medical Journal by Chung, Hae-Sun

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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

“…Many of the technological advances we enjoy today have been inspired by biological systems due to their ease of operation and outstanding efficiency…”
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Preface to the Special Issue on “Advances in Machine Learning, Optimization, and Control Applications” by Liu, Wanquan, Xiu, Xianchao, Li, Xuefang

“…Over the past few decades, data science and machine learning have demonstrated tremendous success in many areas of science and engineering, such as large-scale pattern recognition, computer vision…”
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Special issue “The advance of solid tumor research in China”: Prognosis prediction for stage II colorectal cancer by fusing computed tomography radiomics and deep‐learning features of primary lesions and peripheral lymph nodes by Li, Menglei, Gong, Jing, Bao, Yichao, Huang, Dan, Peng, Junjie, Tong, Tong

“…; therefore, more accurate prognostic predictors must be developed. In our study, we developed a prognostic prediction model for stage II CRC by fusing radiomics and deep‐learning (DL…”
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Special Issue: Deep Learning in Remote Sensing Applications (Editorial) by Zirilli, Francesco

“…Satellite remote sensing applications are data-intensive, and monitoring activities are the most common use of remote sensing data [...]…”
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Special Issue on Recent Advances in Machine Learning and Applications by Wang, Chien-Chih

“…) has created significant challenges for academic, industrial, and service applications due to high dimensionality, noise contamination, incompleteness, inconsistency…”
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Guest Editorial: Special Issue on New Advances in Deep-Transfer Learning by Deng, Z., Lu, J., Wu, D., Choi, K.-S., Sun, S., Nojima, Y.

“…The papers in this special issue aim to present the most recent advances in deep transfer learning (DTL…”
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Introduction to the Special Issue on Recent Advances on Deep Learning for Medical Signal Analysis by Zhang, Yu-Dong, Dong, Zhengchao, Gorriz, Juan Manuel, Cattani, Carlo, Yang, Ming

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Guest Editorial: Special Issue on New Advances in Deep-Transfer Learning by Z. Deng, J. Lu, D. Wu, K.-S. Choi, S. Sun, Y. Nojima

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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

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Guest editorial: Special issue on advances in deep learning based speech processing by Zhang, Xiao-Lei, Xie, Lei, Fosler-Lussier, Eric, Vincent, Emmanuel

“…Guest Editorial:Special Issue on Advances in Deep Learning Based Speech ProcessingXiao-Lei Zhanga, Lei Xieb, Eric Fosler-Lussierc, Emmanuel VincentdaSchool of Marine Science and Technology, Northwestern Polytechnical University…”
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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

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