Information and Software Technologies: 29th International Conference, ICIST 2023, Kaunas, Lithuania, October 12–14, 2023, Proceedings (Communications in Computer and Information Science)

Preface
Organization
Contents
Intelligent Systems and Software Engineering Advances
A Deep Learning Algorithm for the Development of Meaningful Learning in the Harmonization of a Musical Melody
	1 Introduction
	2 Harmonization and Significant Learning
	3 Methodology for Melody Harmonization
	4 Results and Evaluation
	5 Discussion and Conclusions
	References
Investigation of the Statistical Properties of the CTR Mode of the Block Cipher Based on MPF
	1 Introduction
	2 Preliminaries
	3 Symmetric Block Cipher
	4 Investigation of the Avalanche Effect of Our Cipher
	5 Modification of Our Block Cipher
	6 Analysis of the Collisions for Our Cipher
	7 Conclusion
	References
Online PID Tuning of a 3-DoF Robotic Arm Using a Metaheuristic Optimisation Algorithm: A Comparative Analysis
	1 Introduction
		1.1 Literature Review
		1.2 Contributions and Paper Organisation
	2 Proposed Methodology
		2.1 Robotic Arm
		2.2 War Strategy Optimisation Algorithm (WSO)
		2.3 PID Controller for Robotic Manipulator
		2.4 WSO Based PID Tuning
	3 Results and Discussion
		3.1 Simulation Model
		3.2 PID Tuning Error Comparison
		3.3 Step Response Comparison
	4 Conclusion
	References
Multivariate Bitcoin Price Prediction Based on Tuned Bidirectional Long Short-Term Memory Network and Enhanced Reptile Search Algorithm
	1 Introduction
	2 Background
		2.1 Bidirectional Long Short-Term Memory Network
		2.2 Metaheuristic Optimization
	3 Methods
		3.1 Original Reptile Search Algorithm
		3.2 Hybrid Adaptive RSA (HARSA)
	4 Experiments and Comparative Analysis
		4.1 Simulation Setup
		4.2 Results and Discussion
	5 Conclusion
	References
Android Malware Detection Using Artificial Intelligence
	1 Introduction
	2 Related Works
	3 Machine Learning Algorithms
		3.1 K-Nest Neighbour(KNN)
		3.2 Decision Tree (DT)
		3.3 Random Forest (RF)
		3.4 Extra Tree (ET)
		3.5 Ensemble Learning
		3.6 Voting Classifier
		3.7 Bagging
		3.8 Boosting
		3.9 Gradient Tree Boosting
	4 Methodology
		4.1 Metrics
		4.2 Dataset
		4.3 Machine Learning Algorithms
		4.4 Experiments and Results
	5 Conclusion
	References
Intelligent Methods for Data Analysis and Computer Aided Soft-ware Engineering
Autoencoder as Feature Extraction Technique for Financial Distress Classification
	1 Introduction
	2 Review of Research for Features Extraction for Financial Distress Classification
		2.1 Autoencoder
	3 Data
		3.1 Features
		3.2 Data Preparation
	4 Methodology
		4.1 Methods for Classification
		4.2 Evaluation Matrix
	5 Results
	6 Conclusion
	References
Scope Assessment Methodology for Agile Projects Using Automated Requirements Gathering from Models
	1 Introduction
	2 Literature
		2.1 Methodologies for Project Scope Estimation
		2.2 UML in Agile Projects
	3 Methodology for the Assessment of the Project Scope
		3.1 Algorithm of the Methodology
		3.2 Requirements Gathering
		3.3 Principles of Project Scope’s Estimation
	4 Experiments
	5 Conclusions and Directions for Future Research
	References
User Interaction and Response-Based Knowledge Discovery Framework
	1 Introduction
	2 Knowledge Discovery Systems
		2.1 Technologies
		2.2 Legislations
	3 Conceptual Framework
		3.1 Technology Layer
		3.2 Public and Private Applications
		3.3 Machine Learning
		3.4 UIS-KDF
	4 Conclusions
	References
Privacy Risks in German Patient Forums: A NER-Based Approach to Enrich Digital Twins
	1 Introduction
	2 Related Work
		2.1 Threats from User-Generated Content
		2.2 Digital Twins in the Privacy Context
		2.3 Named Entity Recognition for Digital Twin Enrichment
	3 Data Acquisition and Data Processing
	4 NER Models and Evaluation
	5 Discussion
	6 Conclusion and Future Work
	References
Application of Machine Learning in Energy Storage: A Scientometric Research of a Decade
	1 Introduction
	2 Literature Review
	3 Methodology
	4 Results and Discussion
		4.1 Publication Trends
		4.2 Top Cited Articles (TCA)
		4.3 Top Authors
		4.4 Top Affiliations
		4.5 Top Active Countries
	5 Conclusion
	References
Access Control Approach for Controller Management Platforms
	1 Introduction
	2 Security Threats to Controller Management Platforms
		2.1 Security Threats to IoT Infrastructure and Platforms
	3 Proposed Access Control Method
		3.1 Calculation of the Risk Score
		3.2 Detailed Decision-Making Process for the Access Method
	4 Prototype Implementation and Research on the Access Control Approach for Controller Management Platforms
		4.1 Prototype Hardware
		4.2 Controller Management Platform
	5 Research Scenarios and Results
	6 Conclusions
	References
Leveraging Semantic Search and LLMs for Domain-Adaptive Information Retrieval
	1 Introduction
	2 Related Work
		2.1 Large Language Models
		2.2 Semantic Search
	3 Domain-Adaptive Question-Answering Framework
		3.1 Semantic Search Pipeline
		3.2 Conversational Question-Answering System
	4 Experiments
		4.1 Data Acquisition and Implementation
		4.2 Evaluation
		4.3 Results
	5 Discussion
	6 Conclusion and Future Work
	References
Synergizing Reinforcement Learning for Cognitive Medical Decision-Making in Sepsis Detection
	1 Introduction
	2 Background and Motivation
		2.1 SERA Algorithm
		2.2 Algorithms for the Early Detection of Sepsis SERA Algorithm
		2.3 Reinforcement Learning in Medicine
	3 Dataset
	4 Hardware/Software Requirements
	5 Research Methodology
		5.1 Action Space
		5.2 Reward Function
		5.3 Model-Used
		5.4 RL Algorithm
	6 Result
	7 Conclusion
	References
Towards Data Integration for Hybrid Energy System Decision-Making Processes: Challenges and Architecture
	1 Introduction
	2 Challenges of Decision-Making Processes in Hybrid Energy Systems
		2.1 Interaction Layers of Hybrid Energy Systems
		2.2 Diversity of Tasks in Hybrid Energy Management
	3 Analysis of Data Flow
	4 Conclusions
	References
Modelling Normative Financial Processes with Process Mining
	1 Introduction
	2 Related Work
	3 Types of Financial Processes
	4 Multidimensional Financial Space for PM Project Specification
	5 Process Mining Application Example: Expenditure Cycle
	6 Conclusions
	References
Language Technologies and Smart e-Learning Applications
Sentiment Analysis of Lithuanian Youth Subcultures Zines Using Automatic Machine Translation
	1 Introduction
	2 The Dataset
	3 The Experimental Evaluation
	4 Conclusions
	References
Chatbots Scenarios for Education
	1 First Section
	2 Methodology
	3 Theoretical Background
		3.1 Previous Literature Review Findings
		3.2 Chatbot Design
	4 Results and Discussion
	5 Chatbots Scenarios for Educational Purposes
	6 Conclusions
	References
Understanding User Perspectives on an Educational Game for Civic and Social Inclusion
	1 Introduction
	2 Games for Personal and Societal Growth
	3 Expectations for Game Design
	4 User Experience with the INGAME
	5 Conclusions
	References
Using Quantum Natural Language Processing for Sentiment Classification and Next-Word Prediction in Sentences Without Fixed Syntactic Structure
	1 Introduction and State of the Art
	2 QNLP Proofs of Concept
		2.1 QNLP for Sentiment Classification
		2.2 QNLP for Next Word Prediction in Sentences with Previously Unknown Syntactic Structure
	3 Conclusions and Future Lines
	References
AI-Based IT Solutions
Analyzing the Impact of Principal Component Analysis on k-Nearest Neighbors and Naive Bayes Classification Algorithms
	1 Introduction
	2 Methodology
		2.1 Dataset
		2.2 Data Normalization
		2.3 Data Preparations Algorithms
		2.4 kNN and Naive Bayes Algorithms
		2.5 PCA in kNN and Naive Bayes Algorithms
	3 Experiments
	4 Conclusion
	References
Comparison of kNN Classifier and Simple Neural Network in Handwritten Digit Recognition Using MNIST Database
	1 Introduction
	2 Methodology
		2.1 Algorithm kNN
		2.2 Artificial Neural Networks
	3 Experiment
		3.1 MNIST Database
		3.2 Results of Digit Recognition Research by kNN
		3.3 Results of Digit Recognition with Simple Neural Network
	4 Conclusion
	References
Comparison of Support Vector Machine, Naive Bayes, and K-Nearest Neighbors Algorithms for Classifying Heart Disease
	1 Introduction
	2 Methodology
		2.1 Stages of Research
		2.2 kNN
		2.3 Naive Bayes
		2.4 SVM
	3 Experiments
	4 Conclusion
	5 Online Resources
	References
Iterative Method of Adjusting Parameters in kNN via Minkowski Metric
	1 Introduction
	2 Methodology
	3 Experiments
	4 Conclusion
	5 Online Resources
	References
Predicting Diabetes Risk in Correlation with Cigarette Smoking
	1 Introduction
		1.1 Assumptions of the Project
		1.2 Description
	2 Methodology
		2.1 Steps in the Implementation of the Task
		2.2 Description of Operation
	3 Data Analysis
		3.1 Libraries Used
		3.2 Database Analysis
	4 Implementation
		4.1 Including Necessary Packages
		4.2 Downloading the Dataset, Pre-analysis and Deletion of Irrelevant Elements
		4.3 Converting Word Values into Numerical Values and Re-Analyzing the Data
		4.4 Data Normalization, Shuffling and Splitting
		4.5 Naive Bayes Algorithm
	5 Experiments
	6 Results
	7 Conclusions
	8 Summary
	References
Soft Inference as a Voting Mechanism in k-Nearest Neighbors Clustering Algorithm
	1 Introduction
	2 Mathematical Model
		2.1 k-NN Algorithm
		2.2 Soft Sets
		2.3 k-NN + Soft Set Algorithm
	3 Methodology
		3.1 Using Soft Sets to Vote in k-NN Algorithm
	4 Experiments
	5 Conclusions
	References
The BLDC Motor Efficiency Improvement by Electronical Correction of the Power States Indications
	1 Introduction
	2 Technical Description
		2.1 The Power System
	3 Hall Effect Sequence States Signals Correction
	4 Conclusions
	References
The Impact of Entropy Weighting Technique on MCDM-Based Rankings on Patients Using Ambiguous medical Data
	1 Introduction
	2 Proposed Methodology
		2.1 Creating Multi-criteria Patient Database
		2.2 Criteria Weighting Methods
		2.3 MCDM Methods
	3 Experiments
		3.1 Data
		3.2 Convolution Neural Network Models
		3.3 Creating Database of Artificial Patients
	4 Results
		4.1 Calculated Weights
		4.2 Metrics
	5 Conclusion
	References
Author Index