Artificial Intelligence for System Oriented Design

Proceedings of 8th Computational Methods in Systems and Software 2024, Volume 1
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Inhaltsangabe

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.

Produktdetails
  • Erscheinungsdatum: 29.08.2025
  • Autor/Autorin: Radek Silhavy
  • Reihe: Springer Nature Proceedings excluding Computer Science
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 64.7 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 581 Seiten
  • ISBN: 9783031967986
  • Lieferung: Sofort per Download
  • Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
  • Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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This proceedings book aim to support academic discussion, interdisciplinary cooperation, and the dissemination of high-quality scientific results. Recent developments in computing, software systems, artificial intelligence, data-driven methods, and digital technologies continue to influence research, industry, education, and public administration. This book presents selected contributions that reflect these developments and offer insights into theoretical foundations, practical applications, and emerging research directions.

This book provides an international platform for researchers, academics, professionals, and students to exchange knowledge, discuss current challenges, and present advances in computer science, software engineering, intelligent systems, cybersecurity, data analysis, and applied informatics.

The papers included in this book were reviewed by the international program committee and represent a broad spectrum of topics relevant to modern information and communication technologies.

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