Distributed Computing and Intelligent Technology

18th International Conference, ICDCIT 2022, Bhubaneswar, India, January 19–23, 2022, Proceedings

AvRaju Bapi,Sandeep Kulkarni

Häftad, Engelska, 2022

Del i serien Lecture Notes in Computer Science

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Beskrivning

This book constitutes the proceedings of the 18th International Conference on Distributed Computing and Intelligent Technology, ICDCIT 2022, held in Bhubaneswar, India, in January 20212.The 11 full papers presented together with 4 short papers were carefully reviewed and selected from 50 submissions. There are also 4 invited papers included. The papers were organized in topical sections named: invited papers, distributed computing and intelligent technology.

Produktinformation

Utgivningsdatum:2022-01-19
Mått:155 x 235 x 16 mm
Vikt:441 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:273
Förlag:Springer Nature Switzerland AG
ISBN:9783030948757

Utforska kategorier

Nätverk och kommunikation inom Data och IT
Artificiell intelligens inom Data och IT
Hårdvara inom Data och IT

Innehållsförteckning

Invited Papers.- Modern AI/ML Methods for Healthcare: Opportunities and Challenge.- An Introduction to Graph Neural Networks from a Distributed Computing Perspective.- Towards Temporally Uncertain Explainable AI Planning.- The Impact of Synchronization in Parallel Stochastic Gradient Descent.- Distributed Computing.- A Distributed Algorithm for Constructing an Independent Dominating Set.- An Approach to Cost Minimization with EC2 Spot Instances using VM based Migration Policy.- Transforming medical resource utilization process to verifiable timed automata models in Cyber-Physical Systems.- An SDN Implemented Adaptive Load balancing Scheme for Mobile Networks.- Rewriting Logic & Petri Nets: a natural model for distributed, self-adaptive systems.- MCDPS: An Improved Global Scheduling Algorithm for Multiprocessor Mixed-criticality Systems.- Replication Based Fault Tolerance Approach For Cloud.- Intelligent Technology.- A comparative study on MFCC and Fundamental Frequency based speech emotion classification.- Efficient Traffic Routing in Smart Cities to Minimize Evacuation Time during Disasters.- Early Detection of Parkinson’s Disease as a Pre-diagnosis Tool Using various classification techniques on Vocal features.- Extracting Emotion Quotient of Viral Information over Twitter.- A Novel Modified Harmonic mean combined with Cohesion Score for Multi-document Summarization.- Multi-channel Deep Model for Classification of Alzheimer’s Disease Using Transfer Learning.- Deep Learning and Linguistic based Automatic Multiple Choice Question generation from text.- A Deep Multi-Kernel Uniform Capsule Approach For Hate Speech Detection.