25th International Conference, ICAISC 2026, Zakopane, Poland, June 14–18, 2026, Proceedings, Part II
Buch, Englisch, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-39303-6
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
.- Computer Vision, Image and Speech Analysis
.- Pandar128 dataset for lane line detection.
.- Vision-Language Interaction Pipeline for Simulated Healthcare Robots.
.- Explaining Domain Shift Effects in Coffee Leaf Rust Detection.
.- Explainable Multi-Scale Deep Learning for Three-Class Breast FNA Malignancy Grading.
.- Few-Shot Isolated Sign Language Recognition with Spatiotemporal SlowFast Prototypes.
.- Polyp Detection with Deep Learning Models and Histogram Equalization in Colonoscopy Images.
.- Evaluating Interactive Image Retrieval via Iterative Query Reformulation Based on Vision–Language Models.
.- Deep Active Learning via Strategy Committees.
.- Fast and Deterministic Generation of Web-Navigable 360° Environments from Single Panoramas.
.- A method based on State Space Models for medical image classification applied to histology.
.- Weakly Supervised Deep Learning for Human Skin Segmentation.
.- G-YOLO-Mamba: Integrating State Space Models with Ghost Convolution for Efficient Defect Detection in Industrial IoT.
.- Impact of Color Variation on Robustness of Deep Neural Networks.
.- Hybrid Transformer-Mamba Architecture for enhanced patient-centric disease diagnosis.
.- Extending visual datasets with fine-grained classes via Grounding DINO: A case-study of license plates.
.- Data Mining
.- Binary-Adapted Feature Selection for Predicting Taxpayer Acceptance Levels.
.- A Cyclic Sleep-Wake Training Scheme for Feedforward Neural Networks.
.- Pattern Difference to Determine Similarity of Binary Patterns.
.- AI Tool Use and Student Retention in Higher Education: A Quantitative Study of Vietnam and the Philippines Based on Tinto’s Model.
.- On the Impact of Cluster Selection Methods on K-Means-Based Isolation Forest.
.- Experimental Evaluation of Uncertain Knowledge-Based Outlier Detection.
.- Applying Text Embedding Models for Efficient Analysis in Labeled Property Graphs.
.- An Empirical Study of Hyperparameter Tuning in Isolation Forest.
.- Evolutionary Algorithms and Their Applications
.- IMPRINT: An Immune-Inspired Generative Framework for Mitigating Class Imbalance in Financial Fraud Detection.
.- Minimum Qubit Requirements for 5-city TSP QAOA.
.- A new Hybrid Particle Swarm Optimization Algorithm with Genetic Operators and Pheromone Map.
.- EASE: An iterative solution evolution toolkit.
.- New Island-based Multi-objective Optimization Method Combining Single-and Multi-criteria Algorithms.
.- Application of PSO Algorithm in Optimization of Data Filtering in Smart City Systems.
.- Hybrid Neighborhood Evaluation in Tabu Search and Simulated Annealing for the Permutation Flow Shop Problem.
.- Artifcial Intelligence in Modeling and Simulation
.- Evolutionary Local Search with Continuous Encodings for Sorting Algorithm Synthesis in Poorly Conditioned Landscapes.
.- Improved U-Net Based Models for HI Signal Denoising in Astronomical Observations.
.- Detectable timing fingerprints of AI-generated HTTP traffic in container-based cyber range.
.- Two-Stage Method for Inverse Material Design Using a Differentiable Neural Model and Input Optimization.
.- Hybrid Rule-Guided Explainability and a Unified Faithfulness--Efficiency Index for Fraud Detection.
.- KUME: K Universal Matrix Enhancement for Continual Learning.
.- Dialogue Generation for StoryGraph-Based Narrative Games Using Large Language Models.
.- When Decisions Hesitate: Fusion of SVM and Random Forest Classifiers.
.- Deep Learning–Based Detection of Relics of Former Field Systems in the Bialowieza Forest Using LiDAR Data – Preliminary Results.
.- The reciprocal kernel: modeling long-range temporal dependencies.
.- An Approach to Technological Process Configuration Using an ANN-Based Predictive Model and a Population-Based Algorithm within a Digital Twin-Inspired Framework.
.- VACTOR: A Distributed Actor-Based Variational Autoencoder for Detection of Temperature Hot Spots in Data Centres.
.- Viscosity Estimation from Droplet Formation Dynamics Using Image-Based Feature Extraction.
.- Glial-controlled convolutional networks for detecting file types.
.- Novel structures of convolutional networks with glial cells for detecting anomalies in network traffic.
.- Sequential Behavioral Profiling of LoRaWAN Devices Using Deep MLP and Recurrent Neural Networks.
.- Introducing a Conditional 3D Dataset for Generative Models: A Case Study with GANs and Diffusion Model.
.- Improved SLIC via Hierarchical Neighbor Merging for Satellite Image Classification using a Graph Attention Network.
.- Detection and Reconstruction of Defects in Line-Based Pattern Images Using Image Processing and U-Net Networks with a Limited Dataset.
.- Transfer Learning for Sequential Neural Networks in Cybersecurity Detection via the Orange Cat Optimization Algorithm.
.- A Machine Learning and Genetic Algorithm Approach to Spatial Optimization of Photovoltaic Installation Locations.
.- No Extraction Archive Ransomware Detection Using Machine Learning.
.- Hypergame Rationalisability: Solving Agent Misalignment In Strategic Play.
.- Delay-Line Transformer.
