Inventive Computation and Information Technologies

This book is a collection of best selected papers presented at the Fourth International Conference on Inventive Computation and Information Technologies (ICICIT 2022), organized during August 2526, 2022. This book includes papers in the research area of information sciences and communication engineering. This book presents novel and innovative research results in theory, methodology and applications of communication engineering and information technologies.

Presents research works in the field of inventive computation and information technologies Provides original works presented at ICICIT 2022 held in Coimbatore, India Serves as a reference for researchers and practitioners in academia and industry

Auteur

Dr. S Smys received his M.E. and Ph.D. degrees all in wireless communication and networking from Anna University and Karunya University, India. His main area of research activity is localization and routing architecture in wireless networks. He serves as an associate editor of Computers and Electrical Engineering (C&EE) Journal, Elsevier, and a guest editor of MONET Journal, Springer. He is served as a reviewer for IET, Springer, Inderscience and Elsevier journals. He has published many research articles in refereed journals and IEEE conferences. He has been the general chair, session chair, TPC chair and panelist in several conferences. He is the member of IEEE and the senior member of IACSIT wireless research group. He has been serving as an organizing chair and a program chair of several international conferences and in the program committees of several international conferences. Currently, he is working as a professor in the Department of CSE at RVS Technical Campus,Coimbatore, India.

Dr. Khaled A. Kamel is currently a chairman and professor at Texas Southern University, College of Science and Technology, Department of Computer Science, Houston, TX. He has published many research articles in refereed journals and IEEE conferences. He has more than 30 years of teaching and research experience. He has been the general chair, session chair, TPC chair and panelist in several conferences and acted as a reviewer and guest editor in referred journals. His research interest includes networks, computing and communication systems.

Prof. Ram Palanisamy is a professor of Enterprise Systems in the Business Administration Department at the Gerald Schwartz School of Business, St. Francis Xavier University. Dr. Palanisamy teaches courses on Foundations of Business Information Technology, Enterprise Systems using SAP, Systems Analysis and Design, SAP Implementation, Database Management Systems and Electronic Business (Mobile Commerce). Before joining StFX, he taught courses in Management at the Wayne State University (Detroit, USA), Universiti Telekom (Malaysia) and National Institute of Technology (NITT), Deemed University, India. His research interest includes enterprise systems (ES) implementation; ES acquisition; ES flexibility, ES success; knowledge management systems; and healthcare inter-professional collaboration.

Contenu
Detecting Wildlife Trapped Images using Automatically Shared Nearest Neighboring Pixels (ASNNP).- A Meta-Classifier Link Prediction Model for False Profile Identification in Facebook.- Comparison of Various CNN Models For Image Classification.- Enhancing Customer Prediction using Machine Learning with Feature Selection Approaches.- Domain Name System Resolution System with Hyperledger Fabric Blockchain.- Parametric Analysis of Resource Constrained Devices for Internet of Things using FreeRTOS.- A Text Analytics Approach of Exploratory Visualization of Legal Parameters of Dowry Death Cases.- Okra Cultivation Using IoT and Disease Detection.- Identifying Pitfalls and Solutions in parallelizing Long Short Term Memory Network on Graphical Processing Unit by comparing with Tensor Processing Unit Parallelism.- Supply Chain Management In Blockchain Using Hyperledger.- JYOTI: An Intelligent App for Women Security.- Performance Analysis of Machine Learning Algorithms in the Systematic Prediction of Chronic Kidney Disease on an Imbalanced Dataset.- Robotic Process Automation Powered Admission Management System. <p