Buch, Englisch, Band 383, 948 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1629 g
Proceedings of ICICCT 2022
Buch, Englisch, Band 383, 948 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1629 g
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-981-19-4959-3
Verlag: Springer Nature Singapore
This book gathers selected papers presented at the Inventive Communication and Computational Technologies Conference (ICICCT 2022), held on May 12–13, 2022, at Gnanamani College of Technology, Tamil Nadu, India. The book covers the topics such as Internet of Things, social networks, mobile communications, big data analytics, bio-inspired computing, and cloud computing. The book is exclusively intended for academics and practitioners working to resolve practical issues in this area.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
A Comparitive Study of Employee Attrition Analysis using Machine Learning and Deep Learning Techniques.- Efficient RNS Realization of High Speed Arithmetic Multiplier with Respect to Cryptographic Computation.- An Integrated Terrestrial - Satellite Cellular 5G Network Routing Protocol Using Reinforcement Learning Techniques.- Direct Trust-based GPSR Protocol (DT-GPSR) in VANET.- Combating Challenges in Healthcare using Blockchain.- HIDSC2: Host Based Intrusion Detection System in Cloud Computing.- The Impact of Online Reviews on Download Numbers of Mobile Apps.- Learning System During the Covid-19 in a University.- The Adoption of using the Zoom Application as a Learning Tool to Increase Neuro-Cognitive for Public High School in Jakarta.- Context Aware Voice Recognition System for Car Climate and Infotainment Control.- Study of Identification of Breast Tumor Through DL Technique.- Methods for Assessing Information Security Incidents in the Enterprise and Making Decisions.- Data Analytics for Healthcare Institutions: A Data Warehouse Model Proposal.- The Role of Existing Technology Text to Speech in the Deaf Disabled Communities due to Brain Inflammation.- Performance Analysis of Hybrid Deep Learning Approach for Human Actions Recognition.