Artificial Intelligence and Soft Computing (eBook, PDF)

24th International Conference, ICAISC 2025, Zakopane, Poland, June 22-26, 2025, Proceedings, Part I
Redaktion: Rutkowski, Leszek; Zurada, Jacek M.; Tadeusiewicz, Ryszard; Pedrycz, Witold; Korytkowski, Marcin; Scherer, Rafal

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 306
• Erscheinungstermin: 31. Oktober 2025
• Englisch
• ISBN-13: 9783032037053
• Artikelnr.: 75792236

Inhaltsangabe

.- 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.