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Artificial intelligence for system oriented design = proceedings of 8th Computational Methods in Systems and Software 2024.. Volume 1 /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Artificial intelligence for system oriented design/ 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, 581 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/10.1007/978-3-031-96798-6
ISBN:
9783031967986
Artificial intelligence for system oriented design = proceedings of 8th Computational Methods in Systems and Software 2024.. Volume 1 /
Artificial intelligence for system oriented design
proceedings of 8th Computational Methods in Systems and Software 2024.Volume 1 /[electronic resource] :CoMeSySo 2024edited by Radek Silhavy, Petr Silhavy. - Cham :Springer Nature Switzerland :2025. - xv, 581 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in networks and systems,14892367-3389 ;. - Lecture notes in networks and systems ;v.1..
Analysis of the Psychophysiological Characteristics of Athletes -- Using the fuzzy logic models for analysis of time phases of crude oil prices: Brent-Europe -- Forecasting for Japanese yen to dollar exchange rate based on fuzzy logic -- Design and Implementation of an IOT-Driven Smart Watering System for Cucumber Plantations -- Construction of a Multidimensional Data Cube for a Factual Database: Feature Extraction Using the Principal Component Analysis Based on the Example of Repression Statistics by Region -- Reduction of Uncertainty in the Information Field -- Comparison of tracking systems for monitoring human hands and body in virtual reality -- Transparency and Traceability of Agriculture Product Supply Chain with the Use of Blockchain Technology- Desktop Review Paper -- Analysis of forecasting accuracy depending on various hyperparameters of neural network training -- Classification of motor activity of the human upper limbs based on the analysis of electromyograms -- Correlation and regression analysis using real-time audio and video conferencing -- Electromagnetic compability of LiFiMAX devices -- Data acquisition and preparation algorithm for manipulator control in musculoskeletal rehabilitation system -- Using Markov Chain Model to Forecasting of the Agricultural Industry Development -- The Effect of Different Diacritic Settings on the Accuracy of Sentiment Analysis in Czech and Slovak Slavic Languages Upon Transfer-Learning -- Toward a New Measure of Product Indistinguishability based on Changing Relationships with other Products -- AI Adoption in Academia: Diverse Perspectives from Students and Teachers -- Information Process Management based on trajectory Analysis in Multidimensional Metric Spaces -- A comprehensive evaluation of the efficacy and limitations of nutrition software using machine learning -- The impact of artificial intelligence on the enterprise architecture -- Comparison of machine learning algorithms for the identification of pain caused by lumbar disc herniation -- Physics and Forecasting of Nonstationary Time Series based on the Moving Window Method and Neurotechnologies -- Impact of the mine tailings pond water filling on the hydrogeomechanical state of the enclosing dam -- Systematic Review for the automatic image classification of skin cancer based on machine learning techniques -- Enhancing Hospital Resource Planning through Predictive Analytics for Costs and Bed Allocations -- Artificial neural networks in evaluation of clinical parameters of actinic dermatitis -- A Two-Stage Dimension Reduction and Clustering Framework for Financial Behavior and Socio-demographic Profiling -- The Unforeseen Blackout and Cyber Risk Management for Business Continuity: Network-Oriented Computational Analysis -- Adaptive Defence Mechanisms: An Adaptive Network Model to Protect HiX Systems Against Cyber Attacks -- Transparency in Detecting Man-in-the-Middle Attacks on SS7 Networks Using SHAP Explainable AI -- Cyber Risk Management and Organisational Alignment Using Endley's Risk Management Model: Computational Analysis from an Adaptive Dynamical System Perspective -- The audit of information systems is a crucial aspect of en-suring the economic security of a business -- Implementation of a cross-platform simulator application in the process of learning a foreign language for students of technical specialties -- A set of scientific and technical marketing methods based on the use of social networks -- Using Deep Learning Algorithms for Breast Cancer Prediction and Diagnosis -- Identification of key meteorological drought factors using machine learning -- Robust Breast Cancer Detection Model Based on Machine Learning -- Computer Vision Model for the Pre-diagnosis of Autism from Facial Images -- Exploring Novel Image Generation via Script-Directed Scene Formation -- Approximate Estimation of the Volume of Educational Material Mastered by Students in the Process of E-Learning -- Comparative Analysis of Convolutional Neural Networks and Long Short-Term Memory for Predicting Speeding Violations on Roads -- Robust Model for Melanoma Classification Using Deep Learning and Machine Learning Techniques -- Application of Polynomial Regression in Assessing Students' Academic Performance in Blended Learning.
This book bridges theory and practice in modern computing, showcasing the latest research in systems design, software engineering, and innovative problem-solving. Across the book, contributors introduce fresh methods for modeling, testing, and optimization, while demonstrating how data-driven techniques and thoughtfully crafted architectures boost system reliability. By bringing together specialists from a wide range of fields, the proceedings foster meaningful collaboration and knowledge-sharing. Detailed case studies illuminate common hurdles and offer practical, evidence-based solutions, giving industry professionals, academic researchers, and students techniques they can immediately apply to real-world projects and future challenges. With its clear focus on forward progress, this collection serves as an essential guide to the next phase of computational development.
ISBN: 9783031967986
Standard No.: 10.1007/978-3-031-96798-6doiSubjects--Topical Terms:
890055
Artificial intelligence
--Engineering applications--Congresses.
LC Class. No.: QA76.758
Dewey Class. No.: 005.1
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Analysis of the Psychophysiological Characteristics of Athletes -- Using the fuzzy logic models for analysis of time phases of crude oil prices: Brent-Europe -- Forecasting for Japanese yen to dollar exchange rate based on fuzzy logic -- Design and Implementation of an IOT-Driven Smart Watering System for Cucumber Plantations -- Construction of a Multidimensional Data Cube for a Factual Database: Feature Extraction Using the Principal Component Analysis Based on the Example of Repression Statistics by Region -- Reduction of Uncertainty in the Information Field -- Comparison of tracking systems for monitoring human hands and body in virtual reality -- Transparency and Traceability of Agriculture Product Supply Chain with the Use of Blockchain Technology- Desktop Review Paper -- Analysis of forecasting accuracy depending on various hyperparameters of neural network training -- Classification of motor activity of the human upper limbs based on the analysis of electromyograms -- Correlation and regression analysis using real-time audio and video conferencing -- Electromagnetic compability of LiFiMAX devices -- Data acquisition and preparation algorithm for manipulator control in musculoskeletal rehabilitation system -- Using Markov Chain Model to Forecasting of the Agricultural Industry Development -- The Effect of Different Diacritic Settings on the Accuracy of Sentiment Analysis in Czech and Slovak Slavic Languages Upon Transfer-Learning -- Toward a New Measure of Product Indistinguishability based on Changing Relationships with other Products -- AI Adoption in Academia: Diverse Perspectives from Students and Teachers -- Information Process Management based on trajectory Analysis in Multidimensional Metric Spaces -- A comprehensive evaluation of the efficacy and limitations of nutrition software using machine learning -- The impact of artificial intelligence on the enterprise architecture -- Comparison of machine learning algorithms for the identification of pain caused by lumbar disc herniation -- Physics and Forecasting of Nonstationary Time Series based on the Moving Window Method and Neurotechnologies -- Impact of the mine tailings pond water filling on the hydrogeomechanical state of the enclosing dam -- Systematic Review for the automatic image classification of skin cancer based on machine learning techniques -- Enhancing Hospital Resource Planning through Predictive Analytics for Costs and Bed Allocations -- Artificial neural networks in evaluation of clinical parameters of actinic dermatitis -- A Two-Stage Dimension Reduction and Clustering Framework for Financial Behavior and Socio-demographic Profiling -- The Unforeseen Blackout and Cyber Risk Management for Business Continuity: Network-Oriented Computational Analysis -- Adaptive Defence Mechanisms: An Adaptive Network Model to Protect HiX Systems Against Cyber Attacks -- Transparency in Detecting Man-in-the-Middle Attacks on SS7 Networks Using SHAP Explainable AI -- Cyber Risk Management and Organisational Alignment Using Endley's Risk Management Model: Computational Analysis from an Adaptive Dynamical System Perspective -- The audit of information systems is a crucial aspect of en-suring the economic security of a business -- Implementation of a cross-platform simulator application in the process of learning a foreign language for students of technical specialties -- A set of scientific and technical marketing methods based on the use of social networks -- Using Deep Learning Algorithms for Breast Cancer Prediction and Diagnosis -- Identification of key meteorological drought factors using machine learning -- Robust Breast Cancer Detection Model Based on Machine Learning -- Computer Vision Model for the Pre-diagnosis of Autism from Facial Images -- Exploring Novel Image Generation via Script-Directed Scene Formation -- Approximate Estimation of the Volume of Educational Material Mastered by Students in the Process of E-Learning -- Comparative Analysis of Convolutional Neural Networks and Long Short-Term Memory for Predicting Speeding Violations on Roads -- Robust Model for Melanoma Classification Using Deep Learning and Machine Learning Techniques -- Application of Polynomial Regression in Assessing Students' Academic Performance in Blended Learning.
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