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International Conference on Intelligent and Cloud Computing (2021 :)

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Intelligent and cloud computing = proceedings of ICICC 2021 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent and cloud computing/ edited by Debahuti Mishra ... [et al.].
Reminder of title:	proceedings of ICICC 2021 /
remainder title:	ICICC 2021
other author:	Mishra, Debahuti.
corporate name:	International Conference on Intelligent and Cloud Computing
Published:	Singapore :Springer Nature Singapore : : 2022.,
Description:	xxxii, 635 p. :ill., digital ;24 cm.
[NT 15003449]:	An Intelligent Online Attendance Tracking System through Facial Recognition Technique using Edge Computing -- Cloud Analytics: An Outline of Tools and Practices -- An Enhanced Fault Tolerant Load Balancing Process for a Distributed System -- HeartFog: Fog Computing Enabled Ensemble Deep Learning Framework for Automatic Heart Disease Diagnosis -- A Cloud Native SOS Alert System Model using Distributed Data Grid and Distributed Messaging Platform -- Efficient Peer to Peer Content Dispersal by Spontaneously Newly Combined Fingerprints -- An Integrated Facemask Detection with Face Recognition and Alert System using MobileNetV2 -- Test Case Generation using Metamorphic Relationship -- IRHMP: IoT-Based Remote Health Monitoring and Prescriber System -- On boundary-effects at Cellular Automata-based Road-traffic Model Towards Uses in Smart City -- An Optimized Planning Model for Management of Distributed Microgrid Systems -- Hard & Soft Fault Detection using Cloud based VANET -- A Novel Intelligent Street Light Control System Using IoT -- Friend Node Caching: Enhancing QoS of Wireless Edge Video Distribution.
Contained By:	Springer Nature eBook
Subject:	Cloud computing - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-16-9873-6
ISBN:	9789811698736

Intelligent and cloud computing = proceedings of ICICC 2021 /
Intelligent and cloud computingproceedings of ICICC 2021 /[electronic resource] :ICICC 2021edited by Debahuti Mishra ... [et al.]. - Singapore :Springer Nature Singapore :2022. - xxxii, 635 p. :ill., digital ;24 cm. - Smart innovation, systems and technologies,v. 2862190-3026 ;. - Smart innovation, systems and technologies ;v. 286..

An Intelligent Online Attendance Tracking System through Facial Recognition Technique using Edge Computing -- Cloud Analytics: An Outline of Tools and Practices -- An Enhanced Fault Tolerant Load Balancing Process for a Distributed System -- HeartFog: Fog Computing Enabled Ensemble Deep Learning Framework for Automatic Heart Disease Diagnosis -- A Cloud Native SOS Alert System Model using Distributed Data Grid and Distributed Messaging Platform -- Efficient Peer to Peer Content Dispersal by Spontaneously Newly Combined Fingerprints -- An Integrated Facemask Detection with Face Recognition and Alert System using MobileNetV2 -- Test Case Generation using Metamorphic Relationship -- IRHMP: IoT-Based Remote Health Monitoring and Prescriber System -- On boundary-effects at Cellular Automata-based Road-traffic Model Towards Uses in Smart City -- An Optimized Planning Model for Management of Distributed Microgrid Systems -- Hard & Soft Fault Detection using Cloud based VANET -- A Novel Intelligent Street Light Control System Using IoT -- Friend Node Caching: Enhancing QoS of Wireless Edge Video Distribution.

This book features a collection of high-quality research papers presented at the International Conference on Intelligent and Cloud Computing (ICICC 2021), held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, during October 22-23, 2021. The book includes contributions on system and network design that can support existing and future applications and services. It covers topics such as cloud computing system and network design, optimization for cloud computing, networking, and applications, green cloud system design, cloud storage design and networking, storage security, cloud system models, big data storage, intra-cloud computing, mobile cloud system design, real-time resource reporting and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and networking for machine learning systems.

ISBN: 9789811698736

Standard No.: 10.1007/978-981-16-9873-6doiSubjects--Topical Terms:

1085446
Cloud computing
--Congresses.

LC Class. No.: QA76.585 / .I57 2021

Dewey Class. No.: 004.6782

Intelligent and cloud computing = proceedings of ICICC 2021 /
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505 0 $a An Intelligent Online Attendance Tracking System through Facial Recognition Technique using Edge Computing -- Cloud Analytics: An Outline of Tools and Practices -- An Enhanced Fault Tolerant Load Balancing Process for a Distributed System -- HeartFog: Fog Computing Enabled Ensemble Deep Learning Framework for Automatic Heart Disease Diagnosis -- A Cloud Native SOS Alert System Model using Distributed Data Grid and Distributed Messaging Platform -- Efficient Peer to Peer Content Dispersal by Spontaneously Newly Combined Fingerprints -- An Integrated Facemask Detection with Face Recognition and Alert System using MobileNetV2 -- Test Case Generation using Metamorphic Relationship -- IRHMP: IoT-Based Remote Health Monitoring and Prescriber System -- On boundary-effects at Cellular Automata-based Road-traffic Model Towards Uses in Smart City -- An Optimized Planning Model for Management of Distributed Microgrid Systems -- Hard & Soft Fault Detection using Cloud based VANET -- A Novel Intelligent Street Light Control System Using IoT -- Friend Node Caching: Enhancing QoS of Wireless Edge Video Distribution.
520 $a This book features a collection of high-quality research papers presented at the International Conference on Intelligent and Cloud Computing (ICICC 2021), held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, during October 22-23, 2021. The book includes contributions on system and network design that can support existing and future applications and services. It covers topics such as cloud computing system and network design, optimization for cloud computing, networking, and applications, green cloud system design, cloud storage design and networking, storage security, cloud system models, big data storage, intra-cloud computing, mobile cloud system design, real-time resource reporting and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and networking for machine learning systems.
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