Artificial Intelligence and Soft Computing

TRAMA

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.

SOMMARIO

.- 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 CropDisease Detection. .- Automated Fusarium Head Blight Detection using a ResNet18 Modelon High-Resolution Hyperspectral UAV Images. .- Evaluating Polish linguistic and cultural competency in large languagemodels. .- Approximate Importance-Based Sampling for Neural Network Training. .- Prototype Learning for Classification On Spherical Manifolds and itsRelation to Quantum Classification Approaches. .- Enhancing Crop Disease Detection with Deep Learning andHyperspectral Imaging: A Focus on Fusarium Head Blight. .- A centralized federated learning framework with security aspectsagainst Byzantine and Sybil attacks. .- System for automatic bug detection in code and programs using LLMsand AI agents. .- The Quasirecurrent Neural Networks in Selected Natural LanguageProcessing Tasks. .- SD-LSTM: A Novel Semi–Decentralized LSTM Architecture forScalable and Accurate Stock Price Prediction. .- Impact of Convolutional Neural Network Architectures on Predictingthe Viscosity of Water-PVP Solutions. .- Custom Glial Network Architectures for the Classification of LargeText Corpora: a Case Study of Complaint Analysis in the Polish StateRailways. .- An LSTM and Markov Chain-based Approach for Urban Crime Prediction. .- Forecasting Air Quality: A Comparative Study of Various Time SeriesApproaches. .- Reliable Classification Learning for Medical Data Analysis UsingPrototype-Based Models. .- Classification of Literary Epochs by TF-IDF, Transformers, and LargeLanguage Models. .- Fuzzy Systems and Their Applications. .- Dimensionality-based evaluation of fuzzy models developed forhigh-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 forMulti-criteria Optimization. .- TOPSIS-like metaheuristic for LABS problem. .- Migration Timing in Hybrid Island-Based Metaheuristic Algorithms.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783032037046
• Collana: Lecture Notes in Computer Science
• Dimensioni: 235 x 155 mm
• Formato: Brossura
• Illustration Notes: XX, 289 p.
• Pagine Arabe: 289
• Pagine Romane: xx