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Internet of Things (IoT): Key Digital Trends Shaping the Future Proceedings of 7th International Conference on Internet of Things and Connected Technologies (ICIoTCT 2022)

The book is a collection of high-quality research papers presented at 7th International Conference on Internet of Things and Connected Technologies (ICIoTCT 2022), held at Indian Institute of Technology (IIT) Patna, Bihar, India during 29–30 September 2022. This book presents recent advances on IoT...

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Bibliographic Details
Other Authors: Misra, Rajiv (Editor), Rajarajan, Muttukrishnan (Editor), Veeravalli, Bharadwaj (Editor), Kesswani, Nishtha (Editor)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2023, 2023
Edition:1st ed. 2023
Series:Lecture Notes in Networks and Systems
Subjects:
Wireless Communication Systems
Wireless And Mobile Communication
Mobile Communication Systems
Internet Of Things
Computational Intelligence
Telecommunication
Communications Engineering, Networks
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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260 |a Singapore  |b Springer Nature Singapore  |c 2023, 2023 
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505 0 |a Tamil Language Automatic Speech Recognition based on Integrated Feature Extraction and Hybrid Deep Learning Model -- A Comprehensive Review of Conversational AI-based Chatbots: Types, Applications, and Future Trends -- Blockchain based Tourism Recommender System -- Quantum-defended Digital Signature on Lattice for IoT-enabled Systems -- Securing Digital Ownership using Non-Fungible Tokens(NFT), an application of BlockChain Technology -- Battery optimization of electric vehicles using battery management system -- Electronic voting machine as a service on the cloud - Azure for EVM (A4EVM) -- Internet of Bio-Nano Things for Diabetes Telemedicine System with Secured Access 
505 0 |a An Efficacious Classifier for Recognization of Traffic Symbols -- Assisted Living Robots: Discussion and Design of a Robot for Elder Care -- Localization Technologies -- A Comparative Study between Various Machine-Learning Algorithms Implemented for the Proper Detection of Fraudulent and Non-Fraudulent Transactions Through Credit Card -- Smart Grid and Energy Management System -- To Foresight and Formulate Development (FFD) of Robot of Things (RoT) and Drone of Things (DoT) for Revolutionizing Agriculture Ecosystem -- About a Practical Approach for Smart Building by using Internet of Things -- IoT Based Storage Management System -- Venture Analyzer -- Stress Reliving Application for Personal Wellbeing -- M-LENS AN IOT BASED DEEP LEARNING DEVICE -- Analysis of Electromagnetic Pollution in Buildings and Its Impact Specially on Human Health --  
505 0 |a IoT-Based Smart Notice Board & Class Schedule Notification System with Real-Time Classroom Environment Monitoring Facility for Educational Institutions.-Affordable Smart Kit for Coconut Farm Management Using IoT -- Machine Learning based model to find out Firewall Decisions towards improving Cyber Defence -- Two Fold Extended Residual Network Based Super Resolution For Potato Plant Leaf Disease Detection -- Analyzing the tweets of the patients during COVID-19 pandemic using machine learning techniques -- Load profile oriented balanced Cluster Assignment in 5G IoT based sensor network -- KnowSOntoWSR: Web Service Recommendation System using Semantically Driven QoS Ontology Based Knowledge Centered Paradigm -- Secure Encryption Using Bit Shuffling -- Predictability of spells of maximum precipitation in the UP East region with Antarctic sea ice concentration forcing -- IoT-based Real-Time Water Quality Monitoring System using a RC Boat --  
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700 1 |a Veeravalli, Bharadwaj  |e [editor] 
700 1 |a Kesswani, Nishtha  |e [editor] 
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520 |a The book is a collection of high-quality research papers presented at 7th International Conference on Internet of Things and Connected Technologies (ICIoTCT 2022), held at Indian Institute of Technology (IIT) Patna, Bihar, India during 29–30 September 2022. This book presents recent advances on IoT and connected technologies. This book is designed for marketing managers, business professionals, researchers, academicians, and graduate-level students seeking to learn how IoT and connecting technologies increase the amount of data gained through devices, enhance customer experience, and widen the scope of IoT analytics in enhancing customer marketing outcomes 

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