ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data : 15th International Conference, ICT Innovations 2023, Ohrid, North Macedonia, September 24-26, 2023, Proceedings (Communications in Computer and Information Science) (2024)

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ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data : 15th International Conference, ICT Innovations 2023, Ohrid, North Macedonia, September 24-26, 2023, Proceedings (Communications in Computer and Information Science) (2024)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 263 p.
  • 商品コード 9783031543203

Full Description

This book constitutes the refereed proceedings of the 15th International Conference on ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data, ICT Innovations 2023, held in Ohrid, North Macedonia during September 24-26, 2023.
The 17 full papers included in this book were carefully reviewed and selected from 52 submissions. They are organized in sections by topics as follows: AI and natural language processing; bioinformatics; dew computing; e-learning and e-services; image processing; network science; theoretical informatics.

Contents

​AI and Natural Language Proccessing.- Extracting Entities and Relations in Analyst Stock Ratings News.- MakedonASRDataset - A dataset for Speech Recognition in the Macedonian Language.- Bioinformatics.- Explainable machine learning unveils novel insights into breast cancer metastases sites bio-markers.- Implementation of the Time Series and the Convolutional Vision Transformers for Biological Signal Processing - Blood Pressure Estimation from Photoplethysmogram.- The Curious Case of Randomness in Deep Learning Models for Heartbeat Classification.- Dew Computing.- Disaster-Resilient Messaging using Dew Computing.- A Review of Dew and Edge Computing: Two Sides of a Modern Internet of Things Solution.- E-learning and E-services.-Unveiling Insights: Analyzing Application Logs to Enhance Autism Therapy Outcomes.- Image Processing.- Semantic Segmentation of Remote Sensing Images: Definition, Methods,Datasets and Applications.- Enhancing Knee Meniscus Damage Prediction from MRI Images with Machine Learning and Deep Learning Techniques.- Image Classification using Deep Neural Networks and Persistent Homology.- Network Science.- Understanding worldwide natural gas trade flow for 2017 to 2022: A network-based approach.- Identifying Drug - Disease Interactions Through Link Prediction in Heterogeneous Graphs.- Multiplex collaboration network of the Faculty of Computer Science and Engineering in Skopje.- Graph Neural Networks for Antisocial Behavior Detection on Twitter.- Theoretical Informatics.- On the Construction of Associative and Commutative Bilinear Multivariate Quadratic Quasigroups of Order 2n.- Introducing Probabilities in Networks of Polarized Splicing Processors.

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