Artificial Intelligence and Soft Computing

24th International Conference, ICAISC 2025, Zakopane, Poland, June 22-26, 2025, Proceedings, Part II
Erscheinungsjahr 2025
ISBN: 978-3-032-03707-7
Verlag: Springer

Buch, Englisch, 378 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 598 g

Reihe: Lecture Notes in Artificial Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Rutkowski, Leszek

Scherer, Rafa¿

Scherer, Rafal

Korytkowski, Marcin

Pedrycz, Witold

Tadeusiewicz, Ryszard

Zurada, Jacek M.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

.- 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.