Druck auf Anfrage Neuware - Printed after ordering - This book comprises the proceedings of the 4th International Conference on Machine Intelligence and Signal Processing (MISP2022). The contents of this book focus on research advancements in machine intelligence, signal processing, and applications. The book covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. It also includes the progress in signal processing to process the normal and abnormal categories of real-world signals such as signals generated from IoT devices, smart systems, speech, videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves to be a valuable resource for those in academia and industry.

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Bibliographic Details

Title: Machine Learning and Computational Intelligence Techniques for Data Engineering : Proceedings of the 4th International Conference MISP 2022, Volume 2
Publisher: Springer, Springer
Publication Date: 2023
Language: English
ISBN 10: 9819900468
ISBN 13: 9789819900466
Binding: Buch
Condition: Neu
Dimensions: 241 millimeters width by 160 millimeters height by 51 millimeters depth
Weight: 1679 grams

About this title

Synopsis

This book comprises the proceedings of the 4th International Conference on Machine Intelligence and Signal Processing (MISP2022). The contents of this book focus on research advancements in machine intelligence, signal processing, and applications. The book covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. It also includes the progress in signal processing to process the normal and abnormal categories of real-world signals such as signals generated from IoT devices, smart systems, speech, videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves to be a valuable resource for those in academia and industry.

About the Author

Dr. Pradeep Singh received a Ph.D. in Computer science and Engineering from the National Institute of Technology, Raipur, and an M.Tech. in Software engineering from the Motilal Nehru National Institute of Technology, Allahabad, India. Dr. Singh is an Assistant Professor in the Computer Science & Engineering Department at the National Institute of Technology. He has over 15 years of experience in various government and reputed engineering institutes. He has published over 80 refereed articles in journals and conference proceedings. His current research interests areas are machine learning and evolutionary computing and empirical studies on software quality, and software fault prediction models.

Dr. Deepak Singh completed his Bachelor of Engineering from Pt. Ravi Shankar University, Raipur, India, in 2007. He earned his Master of Technology with honors from CSVTU Bhilai, India, in 2011. He received a Ph.D. degree from the Department of Computer Science and Engineering at the National Institute of Technology (NIT) in Raipur, India, in 2019. Dr. Singh is currently working as an Assistant Professor at the Department of Computer Science and Engineering, National Institute of Technology Raipur, India. He has over 8 years of teaching and research experience along with several publications in journals and conferences. His research interests include evolutionary computation, machine learning, domain adaptation, protein mining, and data mining.

Dr. Vivek Tiwari is a Professor in Charge of the Department of Data Science and AI and Faculty of Computer Science and Engineering at IIIT Naya Raipur, India. He received B.Eng. from the Rajiv Gandhi Technical University, Bhopal, in 2004 and M.Tech. from SATI, Vidisha (MP), in 2008. He obtained a Ph.D. degree from the National Institute of Technology, Bhopal (MA-NIT), India, in 2015 in data mining and warehousing. Dr. Tiwari has over 65 research papers, 2 edited books, and one international patent published to his credit. His current research interest is in machine/deep learning, data mining, pattern recognition, business analytics, and data warehousing.

Dr. Sanjay Misra Sr. Member of IEEE and ACM Distinguished Lecturer, is Professor at �stfold University College (HIOF), Halden, Norway. Before coming to HIOF, he was Professor at Covenant University (400-500 ranked by THE (2019)) for 9 years. He holds a Ph.D. in Information & Knowledge Engineering (Software Engineering) from the University of Alcala, Spain, and an M.Tech. (Software Engineering) from MLN National Institute of Tech, India. Total around 600 articles (SCOPUS/WoS) with 500 co-authors worldwide (-130 JCR/SCIE) in the core & appl. area of Software Engineering, Web engineering, Health Informatics, Cybersecurity, Intelligent systems, AI, etc.

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