Artificial Intelligence and System Engineering

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Geliefert zwischen Do., 19.02.2026 und Fr., 20.02.2026

Details

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.


Presents the latest research on Artificial Intelligence for System Oriented Design Gathers the Proceedings of the 8th Computational Methods in Systems and Software 2024 (CoMeSySo2024) conference Written by experts in the field

Inhalt

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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783031967580
    • Genre Technology Encyclopedias
    • Editor Radek Silhavy, Petr Silhavy
    • Lesemotiv Verstehen
    • Anzahl Seiten 612
    • Herausgeber Springer
    • Größe H235mm x B155mm x T33mm
    • Jahr 2025
    • EAN 9783031967580
    • Format Kartonierter Einband
    • ISBN 3031967585
    • Veröffentlichung 29.08.2025
    • Titel Artificial Intelligence and System Engineering
    • Untertitel Proceedings of 8th Computational Methods in Systems and Software 2024, Volume 2
    • Gewicht 914g
    • Sprache Englisch

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