Details

Artificial intelligence, Machine Learning and Data Sciences.- Alzheimer’s Disease Classification using Ensemble methods.- Difference-Attribute Based Clustering for Ordinal Survey Data.- Machine Learning Algorithms for Binary Classification of Breast Cancer.- Applications, Issues and Deep Learning Analysis of Electronic Health Records.- Wireless Communication, WSN & Adhoc Networks.- Design of Frequency Beam Scanning Antenna Using SIW for mmwave Applications.- Preventing Data Leakage by Trojans in Commercial and ASIC Application using TDM and DES Encryption & Decryption.- Design of Helmet Mounted Dual Band Conformal Antenna for Military Applications.- Cloud Computing, 5G & loT.- Performance evaluation of Genetic Algorithm and Flower Pollination Algorithm for scheduling tasks in cloud computing.- Comparative Analysis of Load Balancing Algorithm in Cloud Computing.- Robotics and Embedded Systems.- Securely Importing of Back-up file into Cryptowallet.- Trajectory Optimization of a satellite.- Artificial Intelligence Aided Trajectory Planning for UAV.- Sensors & Sensor Technology.- 9T1R nvSRAM Cell with Improved Read Delay and Margin.- System Modelling of Martian Ascent Launch Vehicle.<p></p>

<p><b>Ashwani Kumar Dubey</b>&nbsp;received his M.Tech. degree in Instrumentation and Control Engineering from Maharshi Dayanand University, India, in 2007, and a Ph.D. from the Faculty of Engineering and Technology, Jamia Millia Islamia, India, in 2014. Currently, he is working as a professor in the department of Electronics and Communication Engineering, ASET at Amity University Uttar Pradesh, India. He has over twenty years of experience in different positions. Dr. Dubey has filed 23 patents and has regularly contributed to over 90 research papers in various reputed international and national journals and conferences of repute. He is a corporate member of The Institution of Engineers (India). He has developed many visual inspection systems for various industrial and agricultural applications to improve and monitor the quality and reliability of the products/systems. He has guided five Ph.D. research scholars and is presently guiding five Ph.D. research scholars. He has been awardedthe 'SSPS Award of Excellence 2022' by The Strategic School of Professional Skills, SK Edu Trust,&nbsp;Delhi,&nbsp; India.&nbsp;His research interest includes wireless sensor networks, IoT, IIoT, digital and medical image processing, food, and fruit quality inspections through computer vision, MEMS/NEMS-based smart sensors and systems, etc.<br> </p>

<p><b>Vijayan Sugumaran</b>&nbsp;is a Distinguished University Professor of Management Information Systems and Chair of the Decision and Information Sciences department at Oakland University, USA. He is also Co-Director of the Center for Data Science and Big Data Analytics at Oakland University. He received his Ph.D. in Information Technology from George Mason University, USA. He has taught courses such as object-oriented systems development, C++, Java, Javascript, database management systems and data warehouses, advanced databases and Big Data management, Deep Learning and text analytics, systems analysis and design, electronic commerce,and introduction to MIS. His research interests are in the areas of Big Data analytics, business intelligence, ontologies and semantic web, intelligent agent and multi-agent systems, component-based software development, knowledge-based systems, and Data & Information Modeling. He has published over 250 peer-reviewed articles in journals, conferences, and books. He has edited twenty books and serves on the editorial board of eight journals.<br> </p>

<b>Peter Han Joo Chong</b>&nbsp;is a Full Professor and an Associate Head of the School (of Research), at the School of Engineering, Computer and Mathematical Sciences, at Auckland University of Technology, New Zealand. Previously, he was a Head of the Department of Electrical and Electronic Engineering at AUT. Dr. Chong received a B.Eng. (with distinction) in Electrical Engineering from the Technical University of Nova Scotia, Canada, in 1993, and the M.A.Sc. and Ph.D. degrees in Electrical and Computer Engineering from the University ofBritish Columbia, Canada, in 1996 and 2000, respectively. He visited Tohoku University, Japan, as a Visiting Scientist in 2010 and the Chinese University of Hong Kong, Hong Kong, between 2011 and 2012. He is currently an Adjunct Professor at the Department of Information Engineering, CUHK. He is currently an Editorial Board Member of several international journals. His research interests are mobile communications systems including radio resource management, multiple access, MANETs/VANETs, multihop cellular networks, and Internet of Things/Vehicles and artificial intelligence for wireless networks. He has published over 300 research articles.&nbsp;He is an Honorary Professor at Amity University, India. He is a Fellow of the Institution of Engineering and Technology (FIET), UK. Prof. Chong is listed in the World's Top 2% Scientists published by Stanford University in 2022.

<p>This volume comprises selected peer-reviewed proceedings of the 9th International Conference on Signal Processing and Integrated Networks (SPIN 2022). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in signal processing, IoT sensors, systems and technologies, cloud computing, wireless communication, and wireless sensor networks. This volume will provide a valuable resource for those in academia and industry.</p>

Comprises select peer-reviewed proceedings of the conference SPIN 2022 Enriches understanding by including contributions from leading experts across the globe Focus on research and development in the area of signal processing, IoT sensors, systems, technologies, etc