Artificial Intelligence and System Engineering - Proceedings of 8th Computational Methods in Systems and Software 2024, Vol. 2

This book presents cutting-edge research from CoMeSySo 2024, bridging theoretical insights and practical solutions across modern computing. Highlighting data-driven methodologies, innovative modelling, and robust optimization strategies, this book uniquely integrates interdisciplinary approaches to complex computational problems. Through real-world case studies, readers gain actionable insights applicable to diverse fields such as artificial intelligence, cybersecurity, e-learning, and operational logistics.
Targeted at academic researchers, industry specialists, and graduate students, the compilation provides valuable frameworks and advanced analytical tools for enhancing performance, efficiency, and decision-making. The presented studies, encompassing adaptive network modelling, deep learning applications, and novel AI-driven frameworks, equip readers to tackle emerging challenges and drive future advancements effectively.

List of contents

Machine Learning Techniques to Identify the Importance of Data Driven Factors in Citation Classification.- Academic Performance of Students Related to Their Anxiety Levels: An Adaptive Network Model.- Malicious Uniform Resource Locators Detection using Feature Extraction and Deep Learning.- Transformation of a paper criminal case into a digital form.- A Higher-Order Adaptive Network Model on the Interplay of  Synchrony and Adaptation for Reliving Memory and  Religious Experience through Multimodal Interaction.- Using an Online Trainer to Improve Students' Academic Performance.- muti-type Clock drawing testing image classification through deep learning , a Survey and also an new empirical approach.- Testing in E-Learning: Analysis and Quality Assessment Using Cronbach s Alpha.- Monitoring of Students' Academic Performance with Artificial Intelligence using Digital Twins.- The use of machine learning in the analysis of human muscle activity.- A Robust Heart Attack Prediction Model using Machine Learning.- Computational Analysis of the Effectiveness of the Intelligence Cycle for Organizational Cyber Risk Management.- Strategies and Insights from Applying an  Adaptive Network-Oriented Modelling Approach  to Study Dynamics in Sustainable Livelihoods.- Using machine learning to identify dependencies in statistical data based on retrospective information.- Ontology engineering of interdisciplinary scientific research projects based on distributed ledgers.- Reflexive-active systems of artificial heterogeneous intelligent agents for planning the activities of a trade and logistics enterprise.- Automating the Process of Learning Foreign Languages.- The Introduction of Augmented Reality and Artificial Intelligence Technologies into the Foreign Languages Learning Process.- Bi-Level Genetic Algorithm-based Tabu Search for The Multi-Objective Flexible Job Shop Scheduling Problem.- Proposal of a Predictive Model for Fraud Detection in Text Messages using Recurrent Neural Networks.- Robust Heart Disease Classification Model based on Machine Learning.- The impact of data type on the accuracy and speed of equilibrium flow assignment techniques.- Analysis of temporal and geographical data to improve travel time forecasting.- Automatic Oligonucleotide Synthesis System.- A computational model of the transformational leadership measurement in the AI era.- Logistic Regression on Guard of Students' Academic Performance.- Detection of Polymer Thickness Based on the Degree of Their Transparency in SWIR Spectrum on Edge Computing Device.- Method of reference point detection in composite image  formation using mobile devices.- Gamification of E-learning through Kahoot! to Improve Students' Academic Performance.- Clusterization of Students by Learning Styles: K-means Clustering.- Stock Market Forecasting using Multimodal Models.- Constructing a conceptual framework of scientific texts for assessing the semantic consistency of a text description with knowledge about the subject area.- Cyber-Attacks Triggering a Collective Response within NATO: A Network-Oriented Computational Analysis.- The Factors of Investment Attractiveness of a Gold Mining Enterprise.- Programs for Turing Machine Designed to Compute Boolean Functions and Their Representation as Finite Tables.- Statistical Evaluation and Testing of the Effectiveness of Adaptive E-Learning.- Vehicle Production Analysis with a Blended Cloud and Power BI Toolkit.- Sustainability of Chat-Bot Engineered Software Codes.- Perspectives on Social Interaction Science:  From a Multilevel Multi-Timescale Computational Architecture for Synchrony- and Homophily-Induced Attunement to Designing Bonding Bots.- Optimizing Vehicle Routing with Sparrow Search Algorithm.- An Advanced YOLOv8-nano model with Attention Neck Network for PCB Bubble Detection.- Cognitive Load and Parental Management of ADHD:  An Adaptive Dynamical System Model of  Decision-Making and Mental Health Impact.- Questions of Marine Ship Control in a Disturbed  Environment.

Summary

This book presents cutting-edge research from CoMeSySo 2024, bridging theoretical insights and practical solutions across modern computing. Highlighting data-driven methodologies, innovative modelling, and robust optimization strategies, this book uniquely integrates interdisciplinary approaches to complex computational problems. Through real-world case studies, readers gain actionable insights applicable to diverse fields such as artificial intelligence, cybersecurity, e-learning, and operational logistics.
Targeted at academic researchers, industry specialists, and graduate students, the compilation provides valuable frameworks and advanced analytical tools for enhancing performance, efficiency, and decision-making. The presented studies, encompassing adaptive network modelling, deep learning applications, and novel AI-driven frameworks, equip readers to tackle emerging challenges and drive future advancements effectively.

Product details

• Assisted by: Silhavy (Editor), Petr Silhavy (Editor), Radek Silhavy (Editor)
• Publisher: Springer, Berlin
• Original title: Artificial Intelligence for System Oriented Design
• Languages: English
• Product format: Paperback / Softback
• Release: 05.09.2025
• EAN: 9783031967580
• ISBN: 978-3-0-3196758-0
• No. of pages: 622
• Illustrations: XIII, 622 p. 222 illus., 122 illus. in color.
• Series: Lecture Notes in Networks and Systems
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; Software Engineering, Computational Intelligence, Informatics, CoMeSySo, Computational Methods in Systems and Software, Software Engineeering Applications