Artificial Intelligence and Soft Computing

.- 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.