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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
Title
ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data [electronic resource] : 15th International Conference, ICT Innovations 2023, Ohrid, North Macedonia, September 24-26, 2023, Proceedings / edited by Marija Mihova, Mile Jovanov.
ISBN
9783031543210
Edition
1st ed. 2024.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Physical Description
1 online resource (XXV, 263 p.) 68 illus., 57 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
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Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
March 01, 2024
Series
Communications in Computer and Information Science, 1991
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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