25th International Conference, ICAISC 2026, Zakopane, Poland, June 14–18, 2026, Proceedings, Part I
Buch, Englisch, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-39289-3
Verlag: Springer International Publishing
This volume set constitutes the proceedings of the 25th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2026, held in Zakopane, Poland, during June 14–18, 2026.
The 107 full papers included in this book were carefully reviewed and selected from 175 submissions. The papers cover the following topical sections:
Part I: Neural Networks and Their Applications; Various Problems of Artificial Intelligence; Agent Systems, Robotics and Control; and Bioinformatics, Biometrics and Medical Applications.
Part II: Computer Vision, Image and Speech Analysis; Data Mining; Evolutionary Algorithms and Their Applications; Artificial Intelligence in Modeling and Simulation.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
.- Neural Networks and Their Applications
.- Forecasting Particulate Matter with Neural Networks: Accuracy and Explainability using Meteorological Data.
.- Linear Output GQR: A Layer-wise Efficient Neural Network Training Algorithm.
.- Spatio-Temporal Forecasting of Domestic Traffic in Metropolitan Areas.
.- Evaluating Vector Quantisation for Mixed Tabular GANs.
.- Long-Context Encoder Models for Polish Language Understanding.
.- Learning Diffusion Parameters in Graph-Based Recurrent Neural Networks from Social Network Data.
.- Performance Analysis of Selected Gradient-Based Learning Algorithms and Regularisation Methods in Convolutional Neural Networks.
.- Continual Learning at the Edge: Adapter Swapping with Performance Guarantees for Multilingual Assistants.
.- A Novel Autoencoder-Based Framework for Document Authenticity Verification via Structural Scan Analysis.
.- Large Language Models for Dialogue Graph Generation.
.- MIOD: Mask-Iterative Object Detection.
.- Selective Interval Refinement for Feature-Weight Optimization in Analogy Associative Graphs.
.- Recurrent Neural Networks on Nonuniform Time Scales: A Lyapunov-Stable Training Framework for Financial Data.
.- A Deep Learning-based Hybrid Method for Network Flow Prediction.
.- Evaluating Deep Learning Models for Fault Location in Transmission Lines.
.- DINO-A: Adapting Self-Distillation Vision Transformers to General Audio Representation Learning.
.- Cost–Sensitive and Calibration–Aware Transformers for Detecting Environmental Misinformation.
.- Evaluation of Retrieval Augmented Generation for Time Series Foundation Model.
.- Teacher-student model verification based on guided Grad-CAM saliency maps for chest X-ray analysis.
.- Minimal-Redundancy Targeted Morphisms for Dynamic Transformer Network Structures.
.- Learning Regimes in Shallow Multilayer Perceptron Based on Gradient-Loss Coupling.
.- Regime-Aware Feature Selection for DDQN-Based Stock Market Trading with ARM and Sentiment Signals.
.- Various Problems of Artificial Intelligence
.- Machine Learning Models for Android Field-Test Result Prediction: A Comparative Study.
.- Traffic Sign Recognition with Adaptive Histogram Equalization, Multiple Filter Faces and Committee of Residual Networks.
.- Handwritten Digits Recognition with Multiple Filter Faces, CNNs and Voting/Averaging Technique.
.- Efficient Polish Domain-Specific Extractive Question Answering for Enterprise Knowledge Retrieval.
.- Prediction of Future Customer Purchases in an Online Store Based on Web Session Behavioral Data.
.- Reproducible Carbon and Latency Benchmarking for LLM Inference: Toward a Standardized Evaluation Methodology and Open Tooling.
.- Steerability of Instrumental-Convergence Tendencies in LLMs.
.- Effects of Quantization in Principal Component Analysis and Related Models.
.- Combining Retrieval-Augmented Text Generation with LLMs for Reading Content Recommendations.
.- RocketWord: A New Hybrid Kernel and Distance-Based Method for Time Series Classification.
.- Performance Analysis of Classifiers Based on Computer Games Matche.
.- The Impact of Task Information on AHP Results Generated by AI Language Models.
.- The System Posture Detection Supported by Choquet Integral in Federated Learning Model based on Interval-Valued Fuzzy Inference System.
.- Artificial Immune System-Based Speech Classification for Spoken Digit Recognition.
.- Agent Systems, Robotics and Control
.- Infrastructure Abstract Graph for Modeling and Optimization.
.- Adaptive Regulation in Multi-Agent Reinforcement Learning: A Fuzzy Control Perspective on Cooperative Stability.
.- RL-Driven Meta-Reasoning for BDI Agents.
.- Comparison of the effectiveness of MLP and KAN in the task of policy approximation in online deep reinforcement learning.
.- A Comparative Analysis of Beacon-Based and Leader–Follower UAV Swarm Coordination Using Particle Swarm Optimization.
.- Bioinformatics, Biometrics and Medical Applications
.- Cancer identification in Renal Corpuscle Histopathological Images.
.- Collective Learning in Myo-to-Gesture Devices through Cloud-Based Sequence Analysis.
.- Segmentation-based Eye Tracking Filtering based on LLava and Grounding Dino Models.
.- Path-Weighted Integrated Gradients for Interpretable Dementia Classification.
.- Stability-Aware Analysis of Decision Tree Models for Small-Sample Biochemical Classification.
.- Parallel Hybrid Vision Transformer-CNN Model for Detecting Aseptic Loosening in Hip Implants.
.- Cluster-Specialized XGBoost Pipeline for Early Detection of Alzheimer’s Disease.
.- Detecting influential classifier features by testing their relationships with SHAP values.
.- Learning Invariant Representations for Myoelectric Gesture Classification.
.- Wavelet packet transform energy features for pancreatic ductal adenocarcinoma classification in CT images.
.- Automatic detection of single EHT contractions and their frequency in 2D videos.
.- EEG Denoising on the SPD Manifold via Artifact-Informed Diffusion Modeling.
