Description
Book Synopsis.- 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.
