Overview

This volume constitutes the proceedings of 24th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2025, Zakopane, Poland, during June 22–26, 2025. The 83 full papers included in this book were carefully reviewed and selected from 163 submissions.They are organized in topical sections as follows: Part I - Neural Networks and Their Applications; Fuzzy Systems and Their Applications; Evolutionary Algorithms and Their Applications. Part II -  Computer Vision, Image and Speech Analysis;  Data Mining;  Pattern Classification and Artificial Intelligence in Modeling and Simulation. Part III - Various Problems of Artificial Intelligence;  Agent Systems, Robotics and Control,  Bioinformatics, Biometrics and Medical Applications and Concurrent Parallel Processing.

Full Product Details

Author:   Leszek Rutkowski ,  Rafał Scherer ,  Marcin Korytkowski ,  Witold Pedrycz
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032037046

ISBN 10:   3032037042
Pages:   306
Publication Date:   01 November 2025
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available  
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Table of Contents

.- Neural Networks and Their Applications. .- Forecasting the Particulate Matter Concentration Using Autoencoders. .- Multi-point directional minimization for conjugate gradient algorithm. .- Neural Network Training Through Matrix Factorization. .- One Channel is All You Need: Optimizing Hyperspectral Data for Crop Disease Detection. .- Automated Fusarium Head Blight Detection using a ResNet18 Model on High-Resolution Hyperspectral UAV Images. .- Evaluating Polish linguistic and cultural competency in large language models. .- Approximate Importance-Based Sampling for Neural Network Training. .- Prototype Learning for Classification On Spherical Manifolds and its Relation to Quantum Classification Approaches. .- Enhancing Crop Disease Detection with Deep Learning and Hyperspectral Imaging: A Focus on Fusarium Head Blight. .- A centralized federated learning framework with security aspects against Byzantine and Sybil attacks. .- System for automatic bug detection in code and programs using LLMs and AI agents. .- The Quasirecurrent Neural Networks in Selected Natural Language Processing Tasks. .- SD-LSTM: A Novel Semi–Decentralized LSTM Architecture for Scalable and Accurate Stock Price Prediction. .- Impact of Convolutional Neural Network Architectures on Predicting the Viscosity of Water-PVP Solutions. .- Custom Glial Network Architectures for the Classification of Large Text Corpora: a Case Study of Complaint Analysis in the Polish State Railways. .- An LSTM and Markov Chain-based Approach for Urban Crime Prediction. .- Forecasting Air Quality: A Comparative Study of Various Time Series Approaches. .- Reliable Classification Learning for Medical Data Analysis Using Prototype-Based Models. .- Classification of Literary Epochs by TF-IDF, Transformers, and Large Language Models. .- Fuzzy Systems and Their Applications. .- Dimensionality-based evaluation of fuzzy models developed for high-dimensional data. .- The use of fuzzy sets to detect strengths among students. .-  Evolutionary Algorithms and Their Applications. .- Selection of subpopulations in the multi-population-based algorithms. .- Towards Application of Multi-dimensional ACO Pheromone for Multi-criteria Optimization. .- TOPSIS-like metaheuristic for LABS problem. .- Migration Timing in Hybrid Island-Based Metaheuristic Algorithms.

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