ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data
15th International Conference, ICT Innovations 2023, Ohrid, North Macedonia, September 24-26, 2023, Proceedings
(Sprache: Englisch)
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...
The 17...
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Klappentext zu „ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data “
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.
Inhaltsverzeichnis zu „ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data “
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 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.
Bibliographische Angaben
- 2024, 2024, XXV, 263 Seiten, 57 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Marija Mihova, Mile Jovanov
- Verlag: Springer, Berlin
- ISBN-10: 3031543203
- ISBN-13: 9783031543203
Sprache:
Englisch
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