Distributed Computing and Artificial Intelligence, Special Sessions, 19th International Conference (Lecture Notes in Networks and Systems)

Preface
Organization
Contents
Special Session on AI-driven Methods for Multimodal Networks and Processes Modeling (AIMPM’22)
Multimodal Network Based Graphs of Primitives Storage Concept for Web Mining CBIR
	1 Introduction
	2 Graphs of Primitives
	3 Gathering Similar Graphs of Primitives Using Modified K-Mean Clustering
	4 Multimodal Network for Query by Approximate Shapes
	5 Preliminary Experimental Results
	6 Summary
	References
Race Condition Error Detection in a Program Executed on a Device with Limited Memory Resources
	1 Introduction
	2 Literature Review
	3 Error Occurrence
	4 Error Detection
	5 Conclusion
	References
The Use of Corporate Architecture in Planning and Automation of Production Processes
	1 Introduction
	2 Illustrative Example
	3 Architecture Model
	4 Mathematical Model of Production Planning and Resource Allocation
	5 Numerical Experiment
	6 Conclusion
	Appendix A. Checking the Model for the Data from the Illustrative Example
	References
Special Session on Computational Linguistics, Information, Reasoning, and AI 2022 (CompLingInfoReasAI’22)
Towards Ontology-Based End-to-End Domain-Oriented KBQA System
	1 Introduction
	2 Related Work
		2.1 Information Extraction
		2.2 KBQA Methods
	3 Methods
		3.1 KB-Filling Methods
		3.2 KBQA-Methods
	4 Results
		4.1 Datasets
		4.2 KB-Filling Methods
		4.3 KBQA-Methods
	5 System Robustness Experiments
	6 Conclusion
	References
TFEEC: Turkish Financial Event Extraction Corpus
	1 Introduction
	2 Related Work
		2.1 Event Extraction Corpora
		2.2 Data Expansion
	3 Corpus Construction
	4 Data Expansion Methodology
	5 Evaluations
		5.1 Event Extraction Cycle
		5.2 Dataset
	6 Conclusion
	References
Special Session on Intelligent Systems Applications (ISA)
Denial of Service Attack Detection Based on Feature Extraction and Supervised Techniques
	1 Introduction
	2 Case Study
	3 Soft Computing Techniques Used
		3.1 Feature Extraction Methods
		3.2 Classification Methods
	4 Experiments and Results
		4.1 Experiments
		4.2 Results
	5 Conclusions and Futures Works
	References
Automating the Implementation of Unsupervised Machine Learning Processes in Smart Cities Scenarios
	1 Introduction
	2 Related Works
	3 Framework for Intelligent Data
		3.1 Data Ingestion Layer
		3.2 Data Analysis Layer
		3.3 Data Visualization Layer
	4 Decarbonization Proposal: A Case Use
		4.1 Data Ingestion Process
		4.2 Data Analysis with Clustering and Classification Processes
	5 Conclusions and Future Work Lines
	References
Intelligent Model Hotel Energy Demand Forecasting by Means of LSTM and GRU Neural Networks
	1 Introduction
	2 Methods
		2.1 Feature Engineering
		2.2 LSTM
		2.3 GRU
	3 Experiments and Results
		3.1 Experiments
		3.2 Results
	4 Conclusions
	References
Special Session on Mathematical Techniques in Artificial Intelligence and Machine Learning (MaTe-AI&ML)
Explainable Artificial Intelligence on Smart Human Mobility: A Comparative Study Approach
	1 Introduction
	2 Explainable Artificial Intelligence and Human Mobility Research
		2.1 Classification Versus Regression problems
		2.2 XAI Research Methods in Human Mobility
	3 Analysis of Human Mobility via XAI
		3.1 Data Collection
		3.2 Exploring XAI Methods
	4 Results and Discussion
	5 Conclusions
	References
Recurrent Neural Networks as Electrical Networks, a Formalization
	1 Introduction
	2 Notation and Dynamics
	3 Linearization Process
	4 Electrical Networks
	5 Discussion
	6 Conclusions and Future Work
	References
Special Session on New Perspectives and Solutions in Cultural Heritage (TECTONIC)
Computer Vision: A Review on 3D Object Recognition
	1 Introduction
	2 Background on 3D Object Identification
	3 Research Model
	4 Discussion
	5 Conclusion
	References
An IoUT-Based Platform for Managing Underwater Cultural Heritage
	1 Underwater Cultural Heritage: Threats and Challenges
	2 A Sustainable Solution for the Conservation of Underwater Cultural Heritage
	3 An Intelligent Platform for the Management of Underwater Cultural Heritage
		3.1 A Layered-Based Architecture
		3.2 Data Stages
		3.3 Main Challenges
	4 Conclusions and Future Work
	References
Doctoral Consortium
Overview: Security in 5G Wireless Systems
	1 Introduction
	2 5G Architecture
		2.1 Physical Architecture
		2.2 Service-Based Architecture
		2.3 SDN
		2.4 NFV
	3 Security in 5G Networks
	4 5G Versus 4G
	5 Potential Solutions to Security Problems
	6 Conclusion
	References
A Study on the Application of Protein Language Models in the Analysis of Membrane Proteins
	1 Problem Statement
	2 Related Work
	3 Hypothesis
	4 Proposal
	5 Preliminary Results
	6 Reflections
	References
Visualization for Infection Analysis and Decision Support in Hospitals
	1 Medical Problem and Background
	2 Hypothesis and Planned Approach
	3 Preliminary Results
		3.1 Visualization Models for Epidemiology Analysis
		3.2 Agent-based Simulation of Clostridium Difficile Infection
	4 Current State
	References
An Intelligent and Green E-healthcare Model for an Early Diagnosis of Medical Images as an IoMT Application
	1 Introduction
	2 Motivation
	3 Objectives and Aim of Study
	4 Related Work
	5 E-healthcare Model
		5.1 Image Acquisition Layer
		5.2 Fog Layer
		5.3 Cloud Layer
	6 Proposed Image Segmentation Model
	7 Proposed Green VM Placement Model
	References
Towards Highly Performant Context Awareness in the Internet of Things
	1 Introduction
	2 Existing Solutions for Concept Drift Detection
	3 Performance Investigations in Data Science
	4 Proposing a Research Approach
	5 Conclusion and Outlook
	References
Adaptive System to Manage User Comfort Preferences and Conflicts at Everyday Environments
	1 Introduction
	2 Multi-agent System
		2.1 Assumptions
		2.2 Multi-agent System Architecture
		2.3 Multi-agent System Schema
	3 Discussion and Conclusions
	References
ML-Based Automation of Constraint Satisfaction Model Transformation and Solver Configuration
	1 Problem Statement
	2 Research Questions
	3 Related Work
	4 Proposal
	5 Preliminary Results
	References
The Impact of Covid-19 on Student Mental Health and Online Learning Experience
	1 Introduction
	2 Literature Review
	3 The Primary Research Questions
	4 Methodology
		4.1 Research Methods and Data Analysis
	5 Conclusions and Future Work
	References
Threat Detection in URLs by Applying Machine Learning Algorithms
	1 Problem Statement
		1.1 Hypothesis
	2 Related Work
		2.1 Word Embedding
	3 Proposal
		3.1 Model Configuration
	4 Preliminary Results
	5 Reflections
	References
An Approach to Simulate Malware Propagation in the Internet of Drones
	1 Introduction
	2 Cybersecurity Aspects
	3 Malicious Code Propagation Aspects
		3.1 Internet of Drones Networks
		3.2 Attacks Examples Scenarios
	4 Conceptual Foundations of the Propagation Model
	5 Conclusions and Further Work
	References
Correction to: Distributed Computing and Artificial Intelligence, Special Sessions,  19th International Conference
	Correction to: Chapter “Distributed Computing and Artificial Intelligence, Special Sessions, 19th International Conference” in: J. M. Machado et al. (Eds.): DCAI 2022, LNNS 585, 2023. https://doi.org/10.1007/978-3-031-23210-7
Author Index