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Artificial Intelligence and Soft Computing [electronic resource] : 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part II / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada.

Contributor(s): Rutkowski, Leszek [editor.] | Scherer, Rafał [editor.] | Korytkowski, Marcin [editor.] | Pedrycz, Witold [editor.] | Tadeusiewicz, Ryszard [editor.] | Zurada, Jacek M [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Artificial Intelligence: 13589Publisher: Cham : Springer International Publishing : Imprint: Springer, 2023Edition: 1st ed. 2023.Description: XVIII, 401 p. 150 illus., 95 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031234804.Subject(s): Artificial intelligence | Computer science -- Mathematics | Algorithms | Computer networks  | Data mining | Education -- Data processing | Artificial Intelligence | Mathematics of Computing | Design and Analysis of Algorithms | Computer Communication Networks | Data Mining and Knowledge Discovery | Computers and EducationAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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.
In: Springer Nature eBookSummary: 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.
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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.

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.

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