Tuba / Akashe / Joshi ICT Systems and Sustainability
1. Auflage 2021
ISBN: 978-981-15-8289-9
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
Proceedings of ICT4SD 2020, Volume 1
E-Book, Englisch, 847 Seiten
Reihe: Intelligent Technologies and Robotics (R0)
ISBN: 978-981-15-8289-9
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 5th International Conference on ICT for Sustainable Development (ICT4SD 2020), held in Goa, India, on 23–24 July 2020. The conference provided a valuable forum for cutting-edge research discussions among pioneering researchers, scientists, industrial engineers, and students from all around the world. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Challenges In Adoption Of Secure Digitisation Of Graduate Assessments: Scope For Block Chain Technologies.- Non-Performing Assets Analysis Using Machine Learning.- Volatile Memory Disk Forensics: Investigate the Criminal Activity of RAMDisk.- Modem Functionality Diagnostic Tool with Graphical User Interface for Cellular Network.- Regression Model to Estimate Effort for Software Oriented Projects.- Innovative Technology Based Social Enterprises for Inclusive Sustainable Healthcare in India.- Classification of leaves using Convolutional Neural Network and Logistic Regression.- A Low Cost IoT Enabled Device for Real Time Air Quality Monitoring System.- Fuzzy-Based Predictive Analytics for Early Detection of disease – a machine learning approach.- A Framework for Remote Health Monitoring.- GenNext – An Extractive Graph Based Text Summarization Model For User Reviews.- An adaptive control for surrogate assisted multi-objective evolutionary algorithms.- Study and Analysis of NOMA downlink transmission model in 5G Wireless System.- Network Structural Analysis based on Graphical measures and metrics.- Lung tumor classification using CNN and GLCM based features.