Machine Learning and Information Processing (eBook, PDF)

Proceedings of ICMLIP 2019
Redaktion: Swain, Debabala; Gupta, Pradeep K.; Pattnaik, Prasant Kumar

• Format: PDF

Produktbeschreibung

This book includes selected papers from the International Conference on Machine Learning and Information Processing (ICMLIP 2019), held at ISB&M School of Technology, Pune, Maharashtra, India, from December 27 to 28, 2019. It presents the latest developments and technical solutions in the areas of advanced computing and data sciences, covering machine learning, artificial intelligence, human-computer interaction, IoT, deep learning, image processing and pattern recognition, and signal and speech processing.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 537
• Erscheinungstermin: 23. März 2020
• Englisch
• ISBN-13: 9789811518843
• Artikelnr.: 58864723

Autorenporträt

Dr. Debabala Swain is an Associate Professor at the Department of Computer Science, Rama Devi Women's University, Odisha. She completed her B.E. at Biju Patnaik University of Technology (2005), M.Tech. at Berhampur University (2008), and Ph.D. at Utkal University in 2013. Her research interests include high-performance computing by optimizing processor performance and developing novel mobility solutions in wireless local area networks. She has published several papers in international journals and conferences. She is also a reviewer for several journals and conferences. Dr. Prasant Kumar Pattnaik, Ph.D. (Computer Science), Fellow IETE, Senior Member IEEE is a Professor at the School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India. He has more than a decade of teaching and research experience. Dr. Pattnaik has published numbers of Research Papers in peer-reviewed International Journals and Conferences. He also published many edited bookvolumes in Springer and IGI Global Publication. His areas of interest include Mobile Computing, Cloud Computing, Cyber Security, Intelligent Systems and Brain Computer Interface. He is one of the Associate Editor of Journal of Intelligent & Fuzzy Systems, IOS Press and Intelligent Systems Book Series Editor of CRC Press, Taylor Francis Group. Dr. P.K. Gupta is an Associate Professor at the Department of Computer Science and Engineering at Jaypee University of Information Technology (JUIT). He has over 15 years of experience in IT industry and academia. He completed his Ph.D. in Computer Science and Engineering at Jaypee University of information Technology, India, in 2012. He has extensive research experience in Internet of Things, cloud computing, image processing, and pattern recognition and has authored more than thirty research papers in referred journals and international conferences. He has also presented his research at a number of renowned international conferences, including IEEE TENCON-Singapore, IEEE-INDICON-India, ICT Innovations-Macedonia, and WPMC-Japan. He was the recipient of an NRF-KIC South Africa grant in 2015. He is an Associate Editor of IEEE Access, a Guest Editor of Special Issues from Springer, and Inderscience Publishers, and a regular reviewer for various leading journals. He is a life member of the Computer Society of India (CSI), the Indian Science Congress Association (ISCA), member of IEEE, a professional member of ACM, senior member of IACSIT, and member of the Indian Society for Technical Education (ISTE).

Inhaltsangabe

Privacy Preservation in ROI of Medical Images using LSB Manipulation.- Novel Approach for Measuring Nutrition Values using Smartphone.- Detection of Hate-Speech in Hinglish language.- Abstractive Text Summarization and Unsupervised Text Classifier.- An Extensive Study on Medical Image Security with ROI Preservation: Techniques, Evaluations and Future Directions.- Denoising Documents Using Image Processing For Digital Restoration.- Humming Based Song Recognition.- Non-Invasive Approach for Disease Diagnosis.- Alleviation of Safety measures in Underground coal mines using Wireless sensor network: A survey.- Critical Non-functional Requirements Modeling Profiler with meta-model semantics.- Retrieval of Ontological Knowledge from Unstructured Text.