ICT Innovations 2022. Reshaping the Future Towards a New Normal

14th International Conference, ICT Innovations 2022, Skopje, Macedonia, September 29 – October 1, 2022, Proceedings

AvKaterina Zdravkova,Lasko Basnarkov

Häftad, Engelska, 2023

Del 1740 i serien Communications in Computer and Information Science

833 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2023-01-02
Mått:155 x 235 x 15 mm
Vikt:356 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:205
Förlag:Springer International Publishing AG
ISBN:9783031227912

Utforska kategorier

Innehållsförteckning

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.