ISBN:
9789811698736
Language:
English
Pages:
1 Online-Ressource(XXXII, 635 p. 317 illus., 250 illus. in color.)
Edition:
1st ed. 2022.
Series Statement:
Smart Innovation, Systems and Technologies 286
Parallel Title:
Erscheint auch als
Parallel Title:
Erscheint auch als
Parallel Title:
Erscheint auch als
Keywords:
Computational intelligence.
;
Artificial intelligence.
;
Cloud Computing.
;
Machine learning.
Abstract:
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.
Abstract:
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.
DOI:
10.1007/978-981-16-9873-6
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