
Artificial Intelligence and Soft Computing
Description
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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Content
.- Computer Vision, Image and Speech Analysis.
.- An Autonomous Weeding Robot with Novel Unsupervised Domain
Adaptation.
.- Swin-Editor: Enhancing Consistency in Text-Driven Video Editing.
.- A Study on Highly Efficient Compact Transformer Features for
Histopathological Image Recognition.
.- Invariant Pattern Recognition with Selectively Denoising and
Ridgelet-Fourier Features.
.- Accessibility of Graphical User Interfaces for Autistic People.
.- Is It Large Enough? A Prompt Learning for Large Multi-Modal Models.
.- Neural Network-Based Verification of Document Authenticity via Paper
Structure and Scan Analysis.
.- Fuzzy attention module for CNNs in the application of space analysis.
.- Dataset Augmentation for Detecting Small Objects in Fisheye Road
Images.
.- Attention U-Net Image Deblurring via Hybrid Loss Optimization.
.- A Predictive Model for Mean Opinion Score in Text-to-Image Quality
Assessment.
.- Vision Transformer Representations for Efficient Content-Based Image
Retrieval.
.- Intensification of Dermatological Asymmetry Measure of Skin Lesions
using PCA.
.- The role of text and vision modalities in solving Bongard Problems
with VLMs.
.- Leveraging Vision in Transformers model for Point Cloud Pattern
Matching.
.- One Shot, Few Perspectives: Ensemble Learning for Image Segmentation.
.- Comparison of the effectiveness of optical flow methods in determining
the velocity of a UAV.
.- Fine-tuned Data Augmentation Techniques for Digit Recognition in AIoT.
.- Segmented Medical Image Classification with Deep Convolutional
Neural Networks Architectures for WBC Detection.
.- Data Mining.
.- Deterministic and Nondeterministic Decision Trees for Decision Rule
Systems from Closed Classes.
.- Some Regularized Tools for Dimensionality Reduction.
.- New approach to instance selection leveraging clustering and
neighboring strategies.
.- Bottleneck Analysis in Software Development: A Case Study Using
Process Mining.
.- Pattern Classification.
.- Channel Attention for Fusarium Head Blight Detection in Hyperspectral
Images.
.- Invariant Aircraft Recognition with Fourier and Dual-tree Complex
Wavelet Features.
.- Combining classifiers for texture classification.
.- Elliptic Separator: A Geometric Approach to Linear Classification.
.- Artificial Intelligence in Modeling and Simulation.
.- Entropic metrics in feature selection for neural network-based data
error detection in CMDB.
.- UAV Forensics: Transformer-Based Identification of Mobile Devices for
Drone Piloting.
.- Predictive Monitoring of Workforce Dynamics via Neural Networks.