國立虎尾科技大學 |

Artificial intelligence and system engineering = proceedings of 8th Computational Methods in Systems and Software 2024.. Volume 2 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Artificial intelligence and system engineering/ edited by Radek Silhavy, Petr Silhavy.
其他題名:	proceedings of 8th Computational Methods in Systems and Software 2024.
其他題名:	CoMeSySo 2024
其他作者:	Silhavy, Radek.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xv, 593 p. :ill. (chiefly col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Congresses. - Engineering applications -
電子資源:	https://doi.org/10.1007/978-3-031-96759-7
ISBN:	9783031967597

Artificial intelligence and system engineering = proceedings of 8th Computational Methods in Systems and Software 2024.. Volume 2 /
Artificial intelligence and system engineeringproceedings of 8th Computational Methods in Systems and Software 2024.Volume 2 /[electronic resource] :CoMeSySo 2024edited by Radek Silhavy, Petr Silhavy. - Cham :Springer Nature Switzerland :2025. - xv, 593 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in networks and systems,14902367-3389 ;. - Lecture notes in networks and systems ;v.1..

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.

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.

ISBN: 9783031967597

Standard No.: 10.1007/978-3-031-96759-7doiSubjects--Topical Terms:

890055
Artificial intelligence
--Engineering applications--Congresses.

LC Class. No.: QA76.758

Dewey Class. No.: 005.1

Artificial intelligence and system engineering = proceedings of 8th Computational Methods in Systems and Software 2024.. Volume 2 /
LDR:06190nam a2200349 a 4500 001 1166491
003 DE-He213
005 20250829130230.0
006 m d
007 cr nn 008maaau
008 251217s2025 sz s 0 eng d
020 $a 9783031967597 $q (electronic bk.)
020 $a 9783031967580 $q (paper)
024 7 $a 10.1007/978-3-031-96759-7 $2 doi
035 $a 978-3-031-96759-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.758
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 005.1 $2 23
090 $a QA76.758 $b .C738 2024
111 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
245 1 0 $a Artificial intelligence and system engineering $h [electronic resource] : $b proceedings of 8th Computational Methods in Systems and Software 2024. $n Volume 2 / $c edited by Radek Silhavy, Petr Silhavy.
246 3 $a CoMeSySo 2024
260 $a Cham : $c 2025. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a xv, 593 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Lecture notes in networks and systems, $x 2367-3389 ; $v 1490
505 0 $a 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.
520 $a 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.
650 0 $a Artificial intelligence $x Engineering applications $v Congresses. $3 890055
650 0 $a Software engineering $v Congresses. $3 528500
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Software Engineering. $3 669632
700 1 $a Silhavy, Radek. $3 1107908
700 1 $a Silhavy, Petr. $3 1228387
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in networks and systems ; $v v.1. $3 1107910
856 4 0 $u https://doi.org/10.1007/978-3-031-96759-7
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)