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ICT Innovations 2022. Reshaping the Future Towards a New Normal : 14th International Conference, ICT Innovations 2022, Skopje, Macedonia, September 29 - October 1, 2022, Proceedings / edited by Katerina Zdravkova, Lasko Basnarkov.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Communications in computer and information science 1865-0937 ; 1740
- Communications in Computer and Information Science, 1865-0937 ; 1740
- Language:
- English
- Subjects (All):
- Data mining.
- Computer engineering.
- Computer networks.
- Application software.
- Computers.
- Data Mining and Knowledge Discovery.
- Computer Engineering and Networks.
- Computer and Information Systems Applications.
- Computing Milieux.
- Local Subjects:
- Data Mining and Knowledge Discovery.
- Computer Engineering and Networks.
- Computer and Information Systems Applications.
- Computing Milieux.
- Physical Description:
- 1 online resource (XXIV, 205 pages) : 72 illustrations, 56 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 14th International Conference on ICT Innovations 2022. Reshaping the Future Towards a New Normal, ICT Innovations 2022, held in Skopje, Macedonia, during September 29-October 1, 2022. The 14 full papers and 1 short papers included in this book were carefully reviewed and selected from 42 submissions. They were organized in topical sections as follows: theoretical foundations and distributed computing; artificial intelligence and deep learning; applied artificial intelligence; education; and medical informatics.
- Contents:
- The New Normal: Innovative Informal Digital Learning after the Pandemic
- Theoretical foundations and distributed computing
- StegIm: Image in Image Steganography
- A Property of an Error-Detecting Code Based on Quasigroups
- Multi-access edge computing smart relocation approach from an NFV perspective
- Artificial intelligence and deep learning
- MACEDONIZER - The Macedonian Transformer Language Model
- Deep learning-based sentiment classification of social network texts in Amharic language
- Using centrality measures to extract knowledge from cryptocurrencies' interdependencies networks
- Applied artificial intelligence
- Evaluating micro frontend approaches for code reusability
- Combining Static and Dynamic Features to Improve Longitudinal Image Retrieval for Alzheimer's Disease
- Architecture for collecting and analysing data from sensor devices
- Education
- Adapting a Web 2.0-based Course to a Fully Online Course and Readapting it Back for Face-to-Face Use
- Challenges and opportunities for women studying STEM
- Medical informatics
- Novel Methodology for Improving the Generalization Capability of Chemo-Informatics Deep Learning Models
- An exploration of Autism Spectrum Disorder classification from structural and functional MRI images
- Detection of High Noise Levels in Electrocardiograms.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-031-22792-9
- 9783031227929
- Access Restriction:
- Restricted for use by site license.
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