Artificial Intelligence and Soft Computing : 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part II (Lecture Notes in Artificial Intelligence)

Rutkowski, Leszek (EDT)/ Scherer, Rafał (EDT)/ Korytkowski, Marcin (EDT)

Springer International Publishing AG（2023/01発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 401 p.
• 言語 ENG
• 商品コード 9783031234798
• DDC分類 006.3

Full Description

The two-volume set LNAI 13588 and 13589 constitutes the refereed post-conference proceedings of the 21st International Conference on Artificial Intelligence and Soft Computing, ICAISC 2022, held in Zakopane, Poland, during June 19-23, 2022.
The 69 revised full papers presented in these proceedings were carefully reviewed and selected from 161 submissions. The papers are organized in the following topical sections:
Volume I:

Neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; artificial intelligence in modeling and simulation.
Volume II:
Computer vision, image and speech analysis; data mining; various problems of artificial intelligence; bioinformatics, biometrics and medical applications.

Contents

Computer Vision, Image and Speech Analysis.- Unsupervised Pose Estimation by means of an innovative Vision Transformer.- CamCarv - Expose the source Camera at the rear of seam insertion.- Text Line Segmentation in Historical Newspapers.- Stacked ensemble of convolutional neural networks for follicles detection on scalp images.- RGB-D SLAM with Deep Depth Completion.- Semantically consistent sim-to-real image translation with neural networks.- Hand gesture recognition for medical purposes using CNN.- Data Mining.- A streaming approach to the Core Vector Machine.- Identifying Cannabis Use Risk through Social Media Based on Deep Learning Methods.- On a Combination of Clustering Methods and Isolation Forest.- K-Medoids-Surv: A patients risk stratification algorithm considering censored data.- A Benchmark of Process Drift Detection Tools: Experimental Protocol and Statistical Analysis.- Improving Solar Flare Prediction by Time Series Outlier Detection.- Various Problems of Artificial Intelligence.- Tourism Stock Prices, Systemic Risk and Tourism Growth: A Kalman Filter with Prior Update DSGE-VAR Model.- An expert system to detect and classify CNS disorders based on eye test data using SVM and Nature-Inspired Algorithms.- Assessment of Semi-Supervised approaches applied to Convolutional Neural Networks.- Bi-Space Search: Optimizing the Hybridization of Search Spaces in Solving the One Dimensional Bin Packing Problem.- Assessing the Sentiment of Book Characteristics Using Machine Learning NLP Models.- Autoencoder neural network for detecting non-human web traffic.- Edge Detection-Based Full-Disc Solar Image Hashing.- Employee Turnover Prediction From Email Communication Analysis.- Buggy Pinball: A Novel Single-point Meta-heuristic for Global Continuous Optimization.- Privacy Preserving by Removing Sensitive Data from Documents with Fully Convolutional Networks.- A New Approach to Statistical Iterative Reconstruction Algorithm for a CT Scanner with Flying Focal Spot Using a Rebinning method.- Algorithm for solving optimal placement of routers in mines.- An Improved Structure-Based Partial Solution Search for the Examination Timetabling Problem.- Human Activity Recognition for Online Examination Environment using CNN.- BIM-based Approach to House Renovation Projects Assessment.- Machine Learning-based Conditioning and Drying of Sewage Sludge as Part of the Management of Co-fermentation Processes.- An efficient algorithm to find a maximum weakly stable matching for SPA-ST problem.- Author Attribution of Literary Texts in Polish by the Sequence Averaging.- Bioinformatics, Biometrics and Medical Applications.- Prediction of Protein Molecular Functions Using Transformers.- Dynamic signature verification using selected regions.