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Networking and Parallel/Distributed Computing Systems: Volume 18 2024 ed. [Hardback]

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  • Formāts: Hardback, 226 pages, height x width: 235x155 mm, 91 Illustrations, color; 22 Illustrations, black and white; X, 226 p. 113 illus., 91 illus. in color., 1 Hardback
  • Sērija : Studies in Computational Intelligence 1125
  • Izdošanas datums: 27-Apr-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031532732
  • ISBN-13: 9783031532733
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  • Hardback
  • Cena: 145,08 €*
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Networking and Parallel/Distributed Computing Systems: Volume 18 2024 ed.Palielināt
  • Formāts: Hardback, 226 pages, height x width: 235x155 mm, 91 Illustrations, color; 22 Illustrations, black and white; X, 226 p. 113 illus., 91 illus. in color., 1 Hardback
  • Sērija : Studies in Computational Intelligence 1125
  • Izdošanas datums: 27-Apr-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031532732
  • ISBN-13: 9783031532733
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031532733.html
Keywords:
The book reports state-of-the-art results in Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing in both printed and electronic form.





This book presents original papers on both theory and practice that address foundations, state-of-the-art problems and solutions, and crucial challenges.
A Deep Learning-Based Study for Cyclone Track Forecasting: Comparative
Analysis Using Historical Data from the Bay of Bengal.- Employee Management
Support Application for Operation Managers and Its Security.- Text-based Data
Analysis for Mental Health Using Explainable AI and Deep Learning.- Using
the Internet of Things and Machine Learning to Monitor and Detect
COVID-19.- Comparison between the Route Using Improved Detours and Shortest
Route on Distributed Key Value Store Based on Order Preserving Linear
Hashing and Skip Graph.- Extraction Study of Leaf Area and Plant Height of
Radish Seedlings Based on SAM.- A Scalable Middleware for IoT Vulnerability
Detection.- Predicting Oil Spills in Real-Time: A Machine Learning and AIS
Data-Driven Approach.- Data-driven OCL Invariant Patterns-based Process Model
Exploration for Process Mining.- An Analysis of Program Comprehension Process
by Eye Movement Mapping to Syntax Trees.- Self-supervised Monocular Depth
Estimation and Ego-motion Made Better: A Masking Constraints.- Using
Additional Sets of Random Data to Assess Possible Dissaving Risk against
Life Expectancy for Elderly People.- A Study on the NFT and Blockchain
Technology for Copyright Management.- The Effect of Enterprise Risk
Management System on Risk Management Capability and Management
Performance.- A Study on the Effect of Omnichannel Customers Acceptance
Attitudes and Loyalty: Focusing on UTAUT2.