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Distributed Computing and Intelligent Technology : 20th International Conference, ICDCIT 2024, Bhubaneswar, India, January 17–20, 2024, Proceedings / edited by Stéphane Devismes, Partha Sarathi Mandal, V. Vijaya Saradhi, Bhanu Prasad, Anisur Rahaman Molla, Gokarna Sharma.

Springer Nature - Springer Computer Science eBooks 2024 English International Available online

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Format:
Book
Contributor:
Devismes, Stéphane, editor.
Series:
Lecture Notes in Computer Science, 1611-3349 ; 14501
Language:
English
Subjects (All):
Computer networks.
Computer vision.
Image processing.
Computer engineering.
Computers, Special purpose.
Computer Networks.
Computer Vision.
Image Processing.
Computer Engineering and Networks.
Special Purpose and Application-Based Systems.
Computer Communication Networks.
Local Subjects:
Computer Networks.
Computer Vision.
Image Processing.
Computer Engineering and Networks.
Special Purpose and Application-Based Systems.
Computer Communication Networks.
Physical Description:
1 online resource (XXXI, 372 p. 127 illus., 85 illus. in color.)
Edition:
1st ed. 2024.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Summary:
This book constitutes the refereed proceedings of the 20th International Conference on Distributed Computing and Intelligent Technology, ICDCIT 2024, which was held in Bhubaneswar, India, during January 17–20, 2024. The 24 full papers presented in this volume were carefully reviewed and selected from 116 submissions. The papers are organized in the following topical sections: Distributed Computing (DC) and Intelligent Technology (IT). The DC track solicits original research papers contributing to the foundations and applications of distributed computing, whereas the IT track solicits original research papers contributing to the foundations and applications of Intelligent Technology.
Contents:
Distributed Computing
Utility driven joint time-and-power allocation in Energy-Harvesting Cognitive Radio Relay Networks
An Improved and Efficient Distributed Computing Framework with Intelligent Task Scheduling
Scheduling of Containerized Resources for Microservices in Cloud
ELITE: Energy and Latency-Optimized Task Offloading forDVFS-Enabled Resource-Constrained Devices in MEC
Parking Problem by Oblivious Mobile Robots in Infinite Grids
The Computational Landscape of Autonomous Mobile Robots: The Visibility Perspective
Coverage Criteria based Testing of IoT Applications
An Online Algorithm for Cost Minimization of Amazon EC2 Burstable Resources
A Practical and Efficient Key-Aggregate Cryptosystem for Dynamic Access Control in Cloud Storage
Intelligent Technology
Prediction of Failure in Scania Truck due to Air Pressure System Failure
A Multi-Class Classification for Detection of IoT Network attacks using machine learning models
Optimizing Sentiment Analysis on Twitter: Leveraging Hybrid Deep Learning Models for Enhanced Efficiency
Identification of onset and progression of Alzheimer’s disease using Topological Data Analysis
Enhancing Mario Gaming Using Optimized Reinforcement Learning
Deep Learning in Industry 4.0: Transforming Manufacturing through Data-Driven Innovation
SASE: Sentiment Analysis with aspect Specific Evaluation using deep learning with hybrid contextual embedding
A Genetic Algorithm-Based Heuristic for Rumour Minimization in Social Networks
A Machine Learning driven Approach For Parkinson’s Prediction using Temporal Data
Prediction of High-resolution Soil Moisture using Multi-source Data and Machine Learning
Evaluating Deep CNNs and Vision Transformers for Plant Leaf Disease Classification
Intelligent Ensemble-Based Road CrackDetection: A Holistic View
Online Payment Fraud Detection for Big Data
Bursty Event Detection Model for Twitter
A General Variable Neighborhood Search Approach for the Clustered Traveling Salesman Problem with d-Relaxed Priority Rule.
Notes:
Includes bibliographical references and index.
ISBN:
3-031-50583-2

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