Artificial Intelligence and Soft Computing
21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part II
Herausgegeben:Rutkowski, Leszek; Scherer, Rafal; Korytkowski, Marcin; Pedrycz, Witold; Tadeusiewicz, Ryszard; Zurada, Jacek M.
Artificial Intelligence and Soft Computing
21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part II
Herausgegeben:Rutkowski, Leszek; Scherer, Rafal; Korytkowski, Marcin; Pedrycz, Witold; Tadeusiewicz, Ryszard; Zurada, Jacek M.
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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…mehr
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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.
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.
Produktdetails
- Produktdetails
- Lecture Notes in Computer Science 13589
- Verlag: Springer / Springer International Publishing / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-23479-8
- 1st ed. 2023
- Seitenzahl: 420
- Erscheinungstermin: 24. Januar 2023
- Englisch
- Abmessung: 235mm x 155mm x 23mm
- Gewicht: 633g
- ISBN-13: 9783031234798
- ISBN-10: 3031234790
- Artikelnr.: 66392881
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
- Lecture Notes in Computer Science 13589
- Verlag: Springer / Springer International Publishing / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-23479-8
- 1st ed. 2023
- Seitenzahl: 420
- Erscheinungstermin: 24. Januar 2023
- Englisch
- Abmessung: 235mm x 155mm x 23mm
- Gewicht: 633g
- ISBN-13: 9783031234798
- ISBN-10: 3031234790
- Artikelnr.: 66392881
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
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.
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.