ICT Innovations 2022. Reshaping the Future Towards a New Normal: 14th International Conference, ICT Innovations 2022 Skopje, Macedonia, September 29 – October 1, 2022 Proceedings

Description

This book constitutes the refereed proceedings of the 14th International Conference on ICT Innovations 2022. Reshaping the Future Towards a New Normal, ICT Innovations 2022, held in Skopje, Macedonia, during September 29–October 1, 2022.  The 14 full papers and 1 short papers included in this book were carefully reviewed and selected from 42 submissions. They were organized in topical sections as follows: theoretical foundations and distributed computing; artificial intelligence and deep learning; applied artificial intelligence; education; and medical informatics. Preface Organization Keynote Talks (Extended Abstracts) AI Ethics as Ecosystems Ethics? Towards a New Normal of Understanding Ethical Issues in AI Managing Health Data Using Artificial Intelligence Contents Keynote Talk The New Normal: Innovative Informal Digital Learning After the Pandemic 1 Introduction 1.1 Curation of External Resources 1.2 Learner Generated Resources 1.3 Game Mechanics 1.4 Blogging 1.5 Project-Based Learning 1.6 Personal Learning Environments 1.7 Heutagogy 1.8 Mobile Learning 1.9 Open Learning 1.10 E-Moderation 1.11 E-Portfolios 2 Conclusions References Theoretical Foundations and Distributed Computing StegIm: Image in Image Steganography 1 Introduction 2 Implementation of StegIm for Hiding and Retrieving Digital Images 2.1 The LSB Encoding Method 2.2 The L2SB Encoding Method 2.3 The L4SB Encoding Method 2.4 Used Algorithms for Hiding/Retrieving Images 2.5 Image Encryption 3 Machine Learning Implementation of StegIm for Detecting Digital Data in Images 3.1 Data Sets Generation and Preprocessing 3.2 Model Architecture 3.3 Results 4 Conclusion and Future Work References A Property of a Quasigroup Based Code for Error Detection 1 Motivation 2 Definition of the Code 3 Results 4 Conclusion References Multi-access Edge Computing Smart Relocation Approach from an NFV Perspective 1 Introduction 2 Related Work 3 MEC-NFV Management Flows 3.1 MEC Application Instantiation 3.2 Migration 3.3 Termination 4 Discussion and Conclusions References Artificial Intelligence and Deep Learning MACEDONIZER - The Macedonian Transformer Language Model 1 Introduction 2 Related Work 3 MACEDONIZER: A Pre-trained ROBERTa Model in Macedonian 3.1 Training Dataset 3.2 Pre-training Objective 4 Downstream Evaluation Tasks 5 Evaluation 6 Discussion 7 Conclusion References Deep Learning-Based Sentiment Classification of Social Network Texts in Amharic Language 1 Introduction 2 Related Works 3 Dataset 4 Methods 4.1 Vectorization 4.2 Classification Models 5 Experiment and Results 6 Discussion 7 Conclusion References Using Centrality Measures to Extract Knowledge from Cryptocurrencies' Interdependencies Networks 1 Introduction 2 Data 2.1 Cryptocurrency Prices 2.2 Reddit Posts' Titles 2.3 Google News Titles 3 Methodology 3.1 Cryptocurrency Daily Price Correlations 3.2 Cryptocurrency Daily Return Correlations 3.3 Reddit Title Sentiment Correlations 3.4 Co-occurrences of Cryptocurrencies in Google News 3.5 Co-occurrence of Cryptocurrencies in Reddit Groups 3.6 Explainable ML for Cryptocurrency Price Forecasting 3.7 Explainable ML for Cryptocurrency Daily Return Forecasting 4 Results 4.1 Degree Centrality 4.2 Eigenvector Centrality 4.3 Node Strength 4.4 Closeness Centrality 4.5 Betweenness Centrality 5 Discussion and Conclusion References Applied Artificial Intelligence Evaluating Micro Frontend Approaches for Code Reusability 1 Introduction 2 Domain-Driven Design 3 Background 3.1 Micro Frontends 3.2 Micro Frontend Composition Types 3.3 Evaluation of Micro Frontend Composition Types 4 Implementation Process 4.1 Decomposition Phase 4.2 Integration Phase 5 Evaluation 6 Conclusion References Combining Static and Dynamic Features to Improve Longitudinal Image Retrieval for Alzheimer’s Disease 1 Introduction 2 Materials and Methods 2.1 Participants and Inclusion Criteria 2.2 Longitudinal Image Retrieval for AD 2.3 MRI Processing 2.4 Representation of Longitudinal Images 3 Experimental Results and Discussion 4 Conclusion References Architecture for Collecting and Analysing Data from Sensor Devices 1 Introduction 2 Related Work 3 Architecture 3.1 Collecting Data 3.2 Data Preprocessing 3.3 Analyzing Data and ML Models 3.4 Visualization 3.5 Application Flow 4 Conclusion References Education Adapting a Web 2.0-Based Course to a Fully Online Course and Readapting It Back for Face-to-Face Use 1 Introduction 2 Education: Disruption and Response 2.1 FCSE Transition to Online Education 3 Evolution of Computer Ethics Course at FCSE 4 What has Changed Due to Online Teaching and Learning? 5 How Did Students’ Opinion Evolve? 6 Conclusion and Readapting of the Course to Face-to-Face Use References Challenges and Opportunities for Women Studying STEM 1 Introduction 2 Literature Review 3 Methodology 4 Results 4.1 Institutional Challenges 4.2 Design Challenges 4.3 Social Challenges 5 Discussion 5.1 Digital Citizenship 5.2 Universal Design 5.3 Norm Criticism 5.4 Reflection on the Method 6 Conclusion References Medical Informatics Novel Methodology for Improving the Generalization Capability of Chemo-Informatics Deep Learning Models 1 Introduction 1.1 Related Work 2 Experimental Design 2.1 Methods and Materials 3 Results and Discussion 4 Conclusion and Future Work References An Exploration of Autism Spectrum Disorder Classification from Structural and Functional MRI Images 1 Introduction 2 Materials and Methods for Dataset Transformation 2.1 Dataset and Image Acquisition 2.2 Data Preprocessing 2.3 Data Transformation 3 Classification Models 3.1 Standard Machine Learning Classification Models 3.2 2D and 3D Convolutional Neural Networks Classification Models 4 Results 4.1 Experimental Setup 4.2 T1 Images ASD Classification Results 4.3 fMRI Images ASD Classification Results 5 Conclusions References Detection of High Noise Levels in Electrocardiograms 1 Introduction 2 Related Works 3 Methods 3.1 Dataset 3.2 Algorithm 3.3 Experimental Setup 3.4 Evaluation Methods 4 Results 4.1 Dependence on Window Length and Heart Rate 4.2 Influence of the Window Shift 4.3 Threshold 5 Discussion 5.1 Dependence on Heart Rate 5.2 Dependence on Heartbeat Type and Peak Height 5.3 Optimal Window Length and Shift 5.4 Optimal Threshold 5.5 Comparison to Other Results 6 Conclusion References Author Index