ICT Innovations 2022. Reshaping the Future Towards a New Normal (eBook, PDF)

14th International Conference, ICT Innovations 2022, Skopje, Macedonia, September 29 - October 1, 2022, Proceedings
Redaktion: Zdravkova, Katerina; Basnarkov, Lasko

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 205
• Erscheinungstermin: 1. Januar 2023
• Englisch
• ISBN-13: 9783031227929
• Artikelnr.: 67241074

Inhaltsangabe

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-basedCourse 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.