Advances in Smart Communication and Imaging Systems

Select Proceedings of MedCom 2020
Herausgegeben:Agrawal, Rajeev; Kishore Singh, Chandramani; Goyal, Ayush

• Gebundenes Buch

Produktbeschreibung

This book presents select and peer-reviewed proceedings of the International Conference on Smart Communication and Imaging Systems (MedCom 2020). The contents explore the recent technological advances in the field of next generation communication systems and latest techniques for image processing, analysis and their related applications. The topics include design and development of smart, secure and reliable future communication networks; satellite, radar and microwave techniques for intelligent communication. The book also covers methods and applications of GIS and remote sensing; medical image analysis and its applications in smart health. This book can be useful for students, researchers and professionals working in the field of communication systems and image processing.

Produktdetails

• Lecture Notes in Electrical Engineering 721
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-15-9937-8
• 1st ed. 2021
• Seitenzahl: 768
• Erscheinungstermin: 14. April 2021
• Englisch
• Abmessung: 241mm x 160mm x 47mm
• Gewicht: 1303g
• ISBN-13: 9789811599378
• ISBN-10: 9811599378
• Artikelnr.: 60337506

Autorenporträt

Dr. Rajeev Agrawal is currently working as professor and director at G. L. Bajaj Institute of Technology and Management, Greater Noida, India. Has an illustrated experience of more than 25years in teaching and research, holds a B.E. degree in Electronics Engineering and M. Tech. degree in System Engineering. He received Ph.D. in the area of Wireless Communication Channels from School of computer & System sciences, JNU, New Delhi. He was visiting professor at Kennesaw State University, Georgia, USA under a joint research projects in the area of Remote Patient Monitoring & Medical Imaging in the year 2010 and 2011. His research areas include planning and performance analysis of wireless networks and medical image analysis for automated diagnosis. He has more than 56 publications in international journals and proceedings. He has been awarded by various state and national agencies for his contribution to research and academics. He is also serving as reviewer for several reputedinternational journals. Dr. Chandramani Kishore Singh is currently an assistant professor with the department of electronic systems engineering, Indian Institute of Science, Bengaluru. He received M.E. and Ph.D. degrees in electrical communication engineering from the Indian Institute of Science, Bengaluru, India, in 2005 and 2012, respectively. He worked as a wireless communications engineer in ESQUBE Communications Solutions Pvt. Ltd., Bengaluru, from 2005 to 2006. He was a post-doctoral researcher with TREC, a joint research team between INRIA Rocquencourt and ENS Paris from 2012 to 2013, and with the Coordinated Science Laboratory, University of Illinois at Urbana Champaign, USA, from 2013 to 2014. His research interests include communication networks, data centers, and smart grids. He has published more than 30 papers in respected international journals and conferences. Dr. Chandramani has also received the Microsoft Research India Rising Star Award in 2011. Dr. Ayush Goyal is working as assistant professor in the department of electrical engineering and computer science at Texas A & M University, Kingsville, Texas. He completed his B.S. in electrical engineering from Boise State University (BSU), Boise, U.S.A and PhD in computer Science from Oxford University, Oxford, UK. He was a postdoctoral research fellow in the department of computer science, Tulane University, New Orleans, US. His areas of research interest are neurological disease prediction, brain MRI image analysis and bio-informatics for connected healthcare. He has more than 40 publications in international journals and proceedings. He was awarded Clarendon scholarship to pursue PhD at Oxford University.

Inhaltsangabe

Benign-Malignant Mass Characterization Based on Multi-Gradient Quinary Pattern.- Improved Switching Vector Median Filter for Removal of Impulse Noise from Color Images.- Optimal Orientation Controller Design for F-16/MATV Using Robust and Discrete Linear.- An Efficient Inspecting Rule for Route Selection in Multi-Hop VANETs Environment.- BER Analysis of FRFT-OFDM System over -mi Fading Channel under CFO.- An Overview of FTTH for Optical Network.- Comparison of Various Classification Techniques on Brain Tumor Detection xx.- Fake News Detection based on Machine Learning.

---

Benign-Malignant Mass Characterization Based on Multi-Gradient Quinary Pattern.- Improved Switching Vector Median Filter for Removal of Impulse Noise from Color Images.- Optimal Orientation Controller Design for F-16/MATV Using Robust and Discrete Linear.- An Efficient Inspecting Rule for Route Selection in Multi-Hop VANETs Environment.- BER Analysis of FRFT-OFDM System over α-μ Fading Channel under CFO.- An Overview of FTTH for Optical Network.- Comparison of Various Classification Techniques on Brain Tumor Detection xx.- Fake News Detection based on Machine Learning.