Asia Pacific Advanced Network
First International Conference, APANConf 2023, Colombo, Sri Lanka, August 24-25, 2023, Revised Selected Papers
Published on 3. January 2024
Book
Paperback/Softback
X, 139 pages
978-3-031-51134-9 (ISBN)
Description
This book constitutes the refereed proceedings of the 56th International Conference on
Asia Pacific Advanced Network, APANConf 2023, held in, Colombo, Sri Lanka,during August 24-25, 2023.
The 10 full papers and 1 short papers included in this book were carefully reviewed andselected from 37 submissions. They are organized in topical sections as follows: artificial intelligence and machine learning, accelerated computing and distributed systems and communications and networking.
Asia Pacific Advanced Network, APANConf 2023, held in, Colombo, Sri Lanka,during August 24-25, 2023.
The 10 full papers and 1 short papers included in this book were carefully reviewed andselected from 37 submissions. They are organized in topical sections as follows: artificial intelligence and machine learning, accelerated computing and distributed systems and communications and networking.
More details
Series
Edition
2024 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
12 s/w Abbildungen, 74 farbige Abbildungen
X, 139 p. 86 illus., 74 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 9 mm
Weight
242 gr
ISBN-13
978-3-031-51134-9 (9783031511349)
DOI
10.1007/978-3-031-51135-6
Schweitzer Classification
Other editions
Additional editions
Damayanthi Herath | Susumu Date | Upul Jayasinghe
Asia Pacific Advanced Network
First International Conference, APANConf 2023, Colombo, Sri Lanka, August 24-25, 2023, Revised Selected Papers
E-Book
01/2024
Springer
€69.54
Available for download
Content
Three-Dimensional Wireless Indoor Localization with Machine Learning Algorithms for Location-Based IoT Applications.- Illuminating the Roads: Night-To-Day Image Translation for Improved to Visibility at Night.- Predicting the Smear Conversion of Pulmonary Tuberculosis Patients Using Machine Learning.- Investigation on Cost - Sensitivity in EEG Based Confusion Emotion Recognition Systems Via Ensemble Learning.- Terminal Voltage Prediction of Solar-Wind Hybrid Systems with Time Series Decomposition: An Analysis and Comparative Study.- Early Prediction of Coronary Heart Disease Using Hybrid Machine Learning Models.- Design and Development of Real-Time IIoT for Multi-Cloud Factory Vehicle Monitoring System.- Towards True Decentralization: Development,Testing and Evaluation of a Novel Blockchain Consensus Protocol.- Control Plan Comparison of OpenDayLight and Open Network Operating System Controllers.- SRISC: Open Source Soft Processor Side Channel Analysis Attack Framework Using RISC-V.- From Opacity to Clarity: Leveraging XAI for Robust Network Traffic Classification.