Details

<p>Fuzzy Logic Simulation for Classifying Abrasive Wheels in Pendulum Grinding.- Detection of DoS, DDoS Attacksin Software-Defined Networking.- Functional Encryption of Floating Point ALU using Weighted Logic Locking for Enhanced Security.- Nonnegative Feature Learning by Regularized Nonnegative Matrix Factorization.- Greenhouse Tracking System based on the Internet of Things.- Distance Based Diagnosis of Intermittent Faulty Nodes in Wireless Sensor Networks.- Classification of Gait Patterns using Overlapping Time Displacement of Batchwise Video Subclips.- Study on model reduction algorithm based on Schur analysis.- Street Lamp Monitoring using IoT based on Node-Red.- Hand recognition system based on invariant moments features.- Fuzzy-Based Multi-agent Framework for E-Commerce Recommender System.- Monitoring Food Quality in Supply Chain Logistics.- A Survey on Hybrid Intrusion Detection Techniques.</p>

<p><b>Dr. Raghvendra Kumar</b> is working as Associate Professor in Computer Science and Engineering Department at GIET University, India. He received B. Tech, M.Tech and Ph.D. in Computer Science and Engineering, India, and Postdoc Fellow from Institute of Information Technology, Virtual Reality and Multimedia, Vietnam. He serves as Series Editor Internet of Everything (IOE): Security and Privacy Paradigm, Green Engineering and Technology: Concepts and Applications, publishes by CRC press, Taylor & Francis Group, USA, and Bio-Medical Engineering: Techniques and Applications, Publishes by Apple Academic Press, CRC Press, Taylor & Francis Group, USA.&nbsp; He also serves as acquisition editor for Computer Science by Apple Academic Press, CRC Press, Taylor & Francis Group, USA. He has published number of research papers in international journal (SCI/SCIE/ESCI/Scopus) and conferences including IEEE and Springer as well as serve as organizing chair (RICE-2019, 2020), volume Editor (RICE-2018), Keynote speaker, session chair, Co-chair, publicity chair, publication chair, advisory board, Technical program Committee members in many international and national conferences and serve as guest editors in many special issues from reputed journals (Indexed By: Scopus, ESCI, SCI). He also published 13 chapters in edited book published by IGI Global, Springer and Elsevier. His researches areas are Computer Networks, Data Mining, cloud computing and Secure Multiparty Computations, Theory of Computer Science and Design of Algorithms. He authored and Edited 23 computer science books in field of Internet of Things, Data Mining, Biomedical Engineering, Big Data, Robotics, and IGI Global Publication, USA, IOS Press Netherland, Springer, Elsevier, CRC Press, USA.&nbsp;</p>

<p><b>Dr. NGUYEN Ho Quang</b> is currently Associate Dean and Head of Mechatronics engineering department, Faculty of Technology and Engineering at Thu Dau Mot University (TDMU). He holds a bachelor's degree in Mechanical Engineering from University of Science and Technology, Da Nang University, Vietnam in 2005. He obtained his MSc. degree in Mechanical Engineering from the Thai Nguyen University of Technology, Vietnam in 2010. In 2017 he received his PhD degree in Biomechanics and Computational Mechanics from University of Technology of Compiègne (UTC), Sorbonnes University, France. And he has also completed post-doctoral fellowships at the Biomechanics and Bioengineering Laboratory, UTC, France. His main research interests relate to Computational Biomechanics and Clinical applications including Biomechanics of the musculoskeletal system, patient-specific biomechanical modelling derived from medical images, Rehabilitation engineering.&nbsp;</p>

<p><b>Dr. </b>Vijender Kumar Solanki, Ph.D., is an Associate Professor in Department of Computer Science & Engineering, CMR Institute of Technology (Autonomous), Hyderabad, TS, India. He is member ACM, Senior Member IEEE, has more than 12 years of academicexperience in network security, IoT, Big Data, Smart City and IT. Prior to his current role, he was associated with Apeejay Institute of Technology, Greater Noida, UP, KSRCE (Autonomous) Institution, Tamilnadu, India & Institute of Technology & Science, Ghaziabad, UP, India. He has attended an orientation program at UGC-Academic Staff College, University of Kerala, Thiruvananthapuram, Kerala & Refresher course at Indian Institute of Information Technology, Allahabad, UP, India. He has authored or co-authored more than 50 research articles that are published in journals, books and conference proceedings. He has edited or co-edited 12 books in the area of Information Technology. He teaches graduate & post graduate level courses in IT at ITS. He received Ph.D in Computer Science and Engineering from Anna University, Chennai, India in 2017 and ME, MCA from Maharishi Dayanand University, Rohtak, Haryana, India in 2007 and 2004, respectively and a bachelor's degree in Science from JLN Government College, Faridabad Haryana, India in 2001.He is Editor in International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE) ISSN 2581-3242, International Journal of Hyperconnectivity and the Internet of Things&nbsp;(IJHIoT) ISSN 2473-4373, IGI Global, USA, Associate Editor in International Journal of Information Retrieval Research (IJIRR), IGI-GLOBAL, USA,ISSN: 2155-6377 | E-ISSN: 2155-6385 also serving editorial board members with many reputed journals.&nbsp; He has guest edited many volumes, with&nbsp; IGI-Global, USA, InderScience & Many more reputed publishers.</p>

<p><b>Dr. </b>Manuel Cardona Ph.D. c received the B.S. degree in Electrical Engineering from Universidad de Sonsonate (USO), El Salvador, in 2004 and the M.Sc. degree in Automation and Robotics from Universidad Politécnica de Madrid, Madrid, Spain, in 2008. From 2007 to 2008, and 2011, he was a Research Assistant with the Robotics and Intelligence Machines Research Group at Universidad Politécnica de Madrid, Spain. He has a Postgraduate Degree in Scientific Research and a Postgraduate Degree and Innovation Management. He is currently a Ph.D. candidate in Automation and Robotics at Universidad Politécnica de Madrid. Since 2014, he has been a professor and the director of the Robotics and Intelligence Machines research group and Computer Vision research group, School of Engineering at Universidad Don Bosco (UDB), El Salvador. His research interest includes Rehabilitation Robotics, Biomechanics, kinematic and dynamic of serial and parallel Robots, embedded systems, vision and artificial intelligence, and applications of robotics systems. He has authored or co-authored more than 30 research articles that are published in various journals, books and conference proceedings. He has also edited 3 books with Springer in the area of Robotics. He is an Associate Editor in International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE) ISSN 2581-3242. He is an IEEE Senior Member, He belongs to Robotics and Automation Society (RAS), Aerospace and Electronic Systems Society (AESS) and Education Society (EdSOC). He is IEEE RAS and AESS Student Branch Chapter Advisor and Student Brach Mentor at Universidad Don Bosco, and the Vicechair at IEEE El Salvador Section.&nbsp;</p>

<p><b>Dr. Prasant Kumar Pattnaik</b>, Ph.D (Computer Science), Fellow IETE, Senior Member IEEE is a Professor at the School of Computer Engineering, KIIT Deemed 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 book volumes. His areas of interest include Mobile Computing, Cloud Computing, Cyber Security, Intelligent Systems and Brain Computer Interface. He is an Associate Editor of the Journal of Intelligent & Fuzzy Systems.</p>

<p>This book comprises select peer-reviewed proceedings of the international conference on Research in Intelligent and Computing in Engineering (RICE 2020) held at Thu Dau Mot University, Vietnam. The volume primarily focuses on latest research and advances in various computing models such as centralized, distributed, cluster, grid, and cloud computing. Practical examples and real-life applications of wireless sensor networks, mobile ad hoc networks, and internet of things, data mining and machine learning are also covered in the book. The contents aim to enable researchers and professionals to tackle the rapidly growing needs of network applications and the various complexities associated with them.</p>

Focuses on advances in centralized, distributed, grid and cloud computing Covers latest applications of machine learning and Internet of Things Includes selected contributions from the international conference RICE 2020