ICT Innovations 2021. Digital Transformation: 13th International Conference, ICT Innovations 2021, Virtual Event, September 27–28, 2021, Revised ... in Computer and Information Science, 1521)

This book constitutes the refereed proceedings of the 13th International ICT Innovations Conference, ICT Innovations 2021, held as virtual event in September 2021. The 15 full papers presented were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on deep learning and AI; NLP and social network analysis; theoretical foundations and information security; e-services; sensor systems, IoT. Preface Organization Contents Keynote A Gentle Introduction to Zero-Knowledge References Deep Learning and AI Automated Assessment of Lower and Higher-Order Thinking Skills Using Artificial Intelligence Methods 1 Introduction 2 Assessment of Higher-Order Thinking Skills 3 Use of AI Methods for Formative Assessments 3.1 Setting up the Experiment 3.2 Use of Neural Networks 3.3 Application of the SVM Method 3.4 Using the Linear Regression Method 4 Improving Results Using the GARP Method 5 Conclusion References Predicting and Classifying Drug Interactions 1 Introduction 2 Related Work 3 Datasets 4 Methodology 4.1 Similarity Based Link Prediction Methods 4.2 Random Walk-Based Link Prediction 4.3 Deep Learning Link Prediction Methods 4.4 Drug-Drug Interaction Type Classification 5 Discussion of Results 5.1 Prediction of Drug-Drug Interactions 5.2 Classifying the Type of Drug-Drug Interaction 6 Conclusions References SemanticStyleGAN: Generative Image Inpainting Using Style-Based Generator 1 Introduction 2 Related Work 3 SemanticStyleGAN Architecture: Semantic Inpainting by Constrained Image Generation 3.1 Context Loss 3.2 Prior Loss 3.3 Image Completion 4 Experiments 4.1 Dataset and Image Masks 4.2 Implementation Details and Training Setup 5 Discussion of Results 5.1 Qualitative Results 5.2 Quantitative Results 6 Summary and Future Directions References NLP and Social Network Analysis Models for Detecting Frauds in Medical Insurance 1 Introduction 2 Related Work 3 Proposed Solution 3.1 Methods for Building the Models 3.2 Evaluation Metrics 4 Experiments and Results 4.1 Dataset 4.2 Preprocessing and Data Exploratory Analysis 4.3 Building Models and Evaluation 4.4 Best Results 5 Comparison with Closely Related Research Papers 6 Conclusion References Multi-criteria Evaluation of Students’ Performance Based on Hybrid AHP-Entropy Approach with TOPSIS, MOORA and WPM 1 Introduction 2 Objective Definition of Criteria Weights with Entropy 3 Front-End AHP: Systemization of Evaluation Criteria in Blocks 4 Evaluation with TOPSIS, MOORA and WPM 4.1 Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) 4.2 Multi-objective Optimization Based on Ratio Analysis (MOORA) 4.3 Weighted Product Method (WPM) 5 Correlation Analysis of TOPSIS, MOORA and WPM Results 6 Back-End AHP for Multiple Assessment Integration (MAI) 7 Conclusions and Further Research References Modeling the Association Between Prenatal Exposure to Mercury and Neurodevelopment of Children 1 Introduction 2 Data 3 Machine Learning Methods 4 Related Work 5 Experimental Setup 6 Results 7 Conclusion References DD-RDL: Drug-Disease Relation Discovery and Labeling 1 Introduction 2 Related Work 3 Drug-Disease Relation Discovery and Labeling (DD-RDL) 3.1 Named Entity Recognition (NER) 3.2 Co-reference Resolution (CR) 3.3 Semantic Role Labeling (SRL) 3.4 Verbs Grouping 3.5 Adjacency Matrix Construction 3.6 Knowledge Extraction 4 Datasets 5 Results 6 Applying the DD-RDL Model on COVID-19 Related Papers 7 Conclusion and Future Work References Theoretical Foundations and Information Security Novel T-norm for Fuzzy-Rough Rule Induction Algorithm and Its Influence 1 Introduction 2 Fuzzy-Rough Rule Induction Algorithm 2.1 Fuzzy-Rough Rule Induction Algorithm Concepts 2.2 QuickRules Algorithm 2.3 VQRS Algorithm 3 Experimental Setup and Results 3.1 Experimental Setup 3.2 Experimental Results 4 Conclusion References De Bruijn-Based and k-Ary n-Cube-Based Algebraic Models in Fog Environments 1 Introduction 2 De Bruijn Sequence 3 De Bruijn Graph 4 Wong Algorithm 5 De Bruijn Graph as a Forwarding Scheme 6 De Bruijn Torus 7 De Bruijn Hypertorus 8 k-Ary n-Cubes 9 k-Ary n-Cube as a Forwarding Scheme 10 De Bruijn Shapes as Location Schemes 11 Conclusions References E-services Assistive e-Learning Software Modules to Aid Education Process of Students with Visual and Hearing Impairment: A Case Study in North Macedonia 1 Introduction 2 Related Work 3 Methods 3.1 Macedonian Language TTS Synthesizer 3.2 Macedonian Sign Language 3.3 Macedonian Dyslexic Font 4 Integration with e-Learning Platform 4.1 Visual Impairment Module 4.2 Hearing Impairment Module 4.3 Dyslexia Module 5 Mobile Application 6 Evaluation Results 7 Conclusion and Future Work References Serverless Platforms Performance Evaluation at the Network Edge 1 Introduction 2 Related Work 3 Methodology 3.1 Platform Selection 3.2 Test Types 3.3 Execution Environment and Method 4 Results 4.1 FaasD 4.2 AWS Greengrass 4.3 Azure IoT Hub 4.4 Performance Comparison 5 Conclusion and Future Work References Sensor Systems, IoT Integration of IoMT Sensors’ Data from Mobile Applications into Cloud Based Personal Health Record 1 Introduction 2 Related Work 3 Mobile Applications Connected with Devices or Sensors for Vital Signs Measurement 4 Installation and Integration of Mobile Applications with the Cloud-Based PHR 5 Data Acquisition into the Cloud-Based PHR 6 Actual Data Acquisition – Case Study 7 Conclusion References Comparing Time and Frequency Domain Heart Rate Variability for Deep Learning-Based Glucose Detection 1 Introduction 2 Related Works 3 Methods 3.1 Dataset 3.2 Features 3.3 Experiments 3.4 Evaluation Metrics 4 Results 5 Discussion 6 Conclusion References Digital Shift: Assessment of Mental States Through Passive Mobile Sensing 1 Introduction 2 Related Work 3 Data Investigation 3.1 EMA Questionnaries 3.2 Sleep Inference 3.3 Clustering Experimentation 4 Data Processing 4.1 Inferring Stress 4.2 Emotion Recognition 5 Learning Framework and Results 5.1 Stress Classifier 5.2 Emotion Recognition Classifier 6 Application Development 6.1 Sensing Data 6.2 Server Implementation 7 Concluding Remarks References Author Index