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Artificial Intelligence and System Engineering: Proceedings of 8th Computational Methods in Systems and Software 2024, Vol. 2 [Pehme köide]

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  • Formaat: Paperback / softback, 622 pages, kõrgus x laius: 235x155 mm, 122 Illustrations, color; 100 Illustrations, black and white; XIII, 622 p. 222 illus., 122 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Networks and Systems 1490
  • Ilmumisaeg: 02-Aug-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031967585
  • ISBN-13: 9783031967580
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  • Formaat: Paperback / softback, 622 pages, kõrgus x laius: 235x155 mm, 122 Illustrations, color; 100 Illustrations, black and white; XIII, 622 p. 222 illus., 122 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Networks and Systems 1490
  • Ilmumisaeg: 02-Aug-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031967585
  • ISBN-13: 9783031967580
Teised raamatud teemal:

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.

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 Cronbachs 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.