Skip to main content
SpringerLink
Log in

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

15th International Conference, ICT Innovations 2023, Ohrid, North Macedonia, September 24–26, 2023, Proceedings

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Marija Mihova

    1. Ss. Cyril and Methodius University in Skopje, Skopje, North Macedonia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Mile Jovanov

    1. Ss. Cyril and Methodius University in Skopje, Skopje, North Macedonia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Communications in Computer and Information Science (CCIS, volume 1991)

Included in the following conference series:

Conference proceedings info: ICT Innovations 2023.

  • 1185 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

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.

Keywords

Table of contents (17 papers)

  1. Front Matter

    Pages i-xxv
    Download chapter PDF

  2. AI and Natural Language Proccessing

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Extracting Entities and Relations in Analyst Stock Ratings News

      • Ivan Krstev, Igor Mishkovski, Miroslav Mirchev, Blagica Golubova, Sasho Gramatikov
      Pages 3-18

    3. MakedonASRDataset - A Dataset for Speech Recognition in the Macedonian Language

      • Martin Mishev, Blagica Penkova, Maja Mitreska, Magdalena Kostoska, Ana Todorovska, Monika Simjanoska et al.
      Pages 19-27

  3. Bioinformatics

    1. Front Matter

      Pages 29-29
      Download chapter PDF

    2. Explainable Machine Learning Unveils Novel Insights into Breast Cancer Metastases Sites Bio-Markers

      • Milena Trajanoska, Viktorija Mijalcheva, Monika Simjanoska
      Pages 31-45

    3. Implementation of the Time Series and the Convolutional Vision Transformers for Biological Signal Processing - Blood Pressure Estimation from Photoplethysmogram

      • Ivan Kuzmanov, Nevena Ackovska, Fedor Lehocki, Ana Madevska Bogdanova
      Pages 46-58

    4. The Curious Case of Randomness in Deep Learning Models for Heartbeat Classification

      • Marjan Gusev, Stojancho Tudjarski, Aleksandar Stankovski, Mile Jovanov
      Pages 59-75

  4. Dew Computing

    1. Front Matter

      Pages 77-77
      Download chapter PDF

    2. Disaster-Resilient Messaging Using Dew Computing

      • Anthony Harris, Yingwei Wang
      Pages 79-93

    3. A Review of Dew and Edge Computing: Two Sides of a Modern Internet of Things Solution

      • Marjan Gusev
      Pages 94-107

  5. E-learning and E-services

    1. Front Matter

      Pages 109-109
      Download chapter PDF

    2. Unveiling Insights: Analyzing Application Logs to Enhance Autism Therapy Outcomes

      • Bojan Ilijoski, Nevena Ackovska
      Pages 111-124

  6. Image Processing

    1. Front Matter

      Pages 125-125
      Download chapter PDF

    2. Semantic Segmentation of Remote Sensing Images: Definition, Methods, Datasets and Applications

      • Vlatko Spasev, Ivica Dimitrovski, Ivan Kitanovski, Ivan Chorbev
      Pages 127-140

    3. Enhancing Knee Meniscus Damage Prediction from MRI Images with Machine Learning and Deep Learning Techniques

      • Martin Kostadinov, Petre Lameski, Andrea Kulakov, Ivan Miguel Pires, Paulo Jorge Coelho, Eftim Zdravevski
      Pages 141-155

    4. Image Classification Using Deep Neural Networks and Persistent Homology

      • Petar Sekuloski, Vesna Dimitrievska Ristovska
      Pages 156-170

  7. Network Science

    1. Front Matter

      Pages 171-171
      Download chapter PDF

    2. Understanding Worldwide Natural Gas Trade Flow for 2017 to 2022: A Network-Based Approach

      • Jovana Marojevikj, Ana Todorovska, Irena Vodenska, Lou Chitkushev, Dimitar Trajanov
      Pages 173-190

    3. Identifying Drug - Disease Interactions Through Link Prediction in Heterogeneous Graphs

      • Milena Trajanoska, Martina Toshevska, Sonja Gievska
      Pages 191-205
Back to top

Other volumes

  1. ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data

Editors and Affiliations

  • Ss. Cyril and Methodius University in Skopje, Skopje, North Macedonia

    Marija Mihova, Mile Jovanov

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation