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.

Table of Contents:
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.