Mihova / Jovanov ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data

15th International Conference, ICT Innovations 2023, Ohrid, North Macedonia, September 24–26, 2023, Proceedings
Erscheinungsjahr 2024
ISBN: 978-3-031-54321-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 263 Seiten

Reihe: Communications in Computer and Information Science

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 organizedin sections by topicsas follows: AI and natural language processing; bioinformatics; dew computing; e-learning and e-services; image processing; network science; theoretical informatics.

Zielgruppe

Research

Autoren/Hrsg.

Mihova, Marija

Jovanov, Mile

Inhaltsverzeichnis

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 Classi?cation.- 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: De?nition, Methods,Datasets and Applications.- Enhancing Knee Meniscus Damage Prediction from MRI Images with Machine Learning and Deep Learning Techniques.- Image Classi?cation using Deep Neural Networks and Persistent Homology.- Network Science.- Understanding worldwide natural gas trade ?ow 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.