Artificial Intelligence and Soft Computing 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part I /

The two-volume set ICAISC 2024 15164, 15165 and 15166 constitutes the refereed proceedings of the 23rd International Conference on Artificial Intelligence and Soft Computing, ICAISC 2024, held in Zakopane, Poland, during June 16–20, 2024. The 96 full papers included in this book were carefully revie...

Descripció completa

Guardat en:
Dades bibliogràfiques
Autor corporatiu: SpringerLink (Online service)
Altres autors: Rutkowski, Leszek (Editor), Scherer, Rafał (Editor), Korytkowski, Marcin (Editor), Pedrycz, Witold (Editor), Tadeusiewicz, Ryszard (Editor), Zurada, Jacek M. (Editor)
Format: Electrònic eBook
Idioma:anglès
Publicat: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edició:1st ed. 2025.
Col·lecció:Lecture Notes in Artificial Intelligence, 15164
Matèries:
Accés en línia:https://doi.org/10.1007/978-3-031-84353-2
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!

MARC

LEADER 00000nam a22000005i 4500
001 978-3-031-84353-2
003 DE-He213
005 20260706115808.0
007 cr nn 008mamaa
008 250226s2025 sz | s |||| 0|eng d
020 |a 9783031843532  |9 978-3-031-84353-2 
024 7 |a 10.1007/978-3-031-84353-2  |2 doi 
050 4 |a Q334-342 
050 4 |a TA347.A78 
072 7 |a UYQ  |2 bicssc 
072 7 |a COM004000  |2 bisacsh 
072 7 |a UYQ  |2 thema 
082 0 4 |a 006.3  |2 23 
245 1 0 |a Artificial Intelligence and Soft Computing  |h [electronic resource] :  |b 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part I /  |c edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada. 
250 |a 1st ed. 2025. 
264 1 |a Cham :  |b Springer Nature Switzerland :  |b Imprint: Springer,  |c 2025. 
300 |a XXII, 392 p. 143 illus., 114 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Lecture Notes in Artificial Intelligence,  |x 2945-9141 ;  |v 15164 
505 0 |a  -- Neural Networks and Their Applications. -- Evaluating Neural Network Models for Accurate Prediction of Network Traffic Load. -- Practical considerations in implementing neural network training with vector instructions. -- Utilizing Pointer Generator Network for Vietnamese Spelling Error Correction. -- Assessing generalization capability of text ranking models in Polish. -- Advancing GDPR Adherence: Leveraging Generative AI for In-Depth Privacy Policy Analysis in Android Apps. -- Speedup of training deep neural networks in the streaming approach using genetic algorithms with an application of drift detection. -- The Use of Synthetic Data in the Development of a Webshop User Profiling System. -- Fuzzy Hyperplane based Least Squares K-SVCR with Its Applications to Stock Trend Classification. -- Stock Movement Prediction by Using a Multi-Tasks Multi-Kernel Fuzzy Support Vector Machine with Parametric Margin. -- Graph-based Dialog Structure Modeling. -- Distracted driver recognition using CNN with dual self-attention module. -- Complex-Valued Restricted Boltzmann Machines for Learning Image Data Distributions. -- On Method of Training of LSTM Neural Network Based on Stability Conditions. -- Smooth Quadrature-Inspired Generalized Choquet Integral in an Application to Drone Engine Failures Detection. -- Researching ML Algorithms for Predicting FHB in Corn: A Case Study in Dnipro Region of Ukraine. -- Investigating HuBERT-based Speech Emotion Recognition Generalisation Capability. -- Comparison of Hyperparameter Tuning Optimization Methods for LSTM and Stock Price Prediction. -- Detecting and Warning Duplicate Job Postings on Job Portals. -- Randomness Versus Backpropagation in Machine Learning . -- Using BERT to Generate Contextualised Textual Images for Sentiment Analysis. -- Personality of AI. -- Crossing the Divide: Designing Layers of Explainability. -- Pattern Classification. -- Empowering Intelligent Database Systems Using an Adaptive Recommendation Algorithm. -- Hancrafted vs. Non-handcrafted features for acoustic scene classification. -- Effective High Utility Itemsets Mining Algorithm for Incremental Databases. -- Machine Learning for Gesture Recognition using Leap Motion Controller. -- Sun Magnetogram Search by Circle Sector Histograms and LSH. -- Enhancing Semantic Search through Domain Adaptation: A Case Study on the Mobifone News Dataset. -- Improving Anomaly Detection Methods Through Attribute Exclusion Using Isolation Forest. -- Classifier Ensemble Learning using Discrete Optimization. -- Class-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction. -- An Efficient Clique-based Level-wise Search Algorithm for Spatial Prevalent Co-location Pattern Mining. 
520 |a The two-volume set ICAISC 2024 15164, 15165 and 15166 constitutes the refereed proceedings of the 23rd International Conference on Artificial Intelligence and Soft Computing, ICAISC 2024, held in Zakopane, Poland, during June 16–20, 2024. The 96 full papers included in this book were carefully reviewed and selected from 179 submissions. They are organized in topical sections as follows: Part I -neural networks and their applications; pattern classification. Part II -evolutionary algorithms and their applications; artificial intelligence in modeling and simulation; computer vision, image and speech analysis. Part III - various problems of artificial intelligence; bioinformatics, biometrics and medical applications. 
650 0 |a Artificial intelligence. 
650 0 |a Algorithms. 
650 0 |a Computer networks . 
650 0 |a Application software. 
650 0 |a Education  |x Data processing. 
650 1 4 |a Artificial Intelligence. 
650 2 4 |a Design and Analysis of Algorithms. 
650 2 4 |a Computer Communication Networks. 
650 2 4 |a Computer and Information Systems Applications. 
650 2 4 |a Computers and Education. 
700 1 |a Rutkowski, Leszek.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Scherer, Rafał.  |e editor.  |0 (orcid)0000-0001-9592-262X  |1 https://orcid.org/0000-0001-9592-262X  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Korytkowski, Marcin.  |e editor.  |0 (orcid)0000-0002-6002-2733  |1 https://orcid.org/0000-0002-6002-2733  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Pedrycz, Witold.  |e editor.  |0 (orcid)0000-0002-9335-9930  |1 https://orcid.org/0000-0002-9335-9930  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Tadeusiewicz, Ryszard.  |e editor.  |0 (orcid)0000-0001-9675-5819  |1 https://orcid.org/0000-0001-9675-5819  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Zurada, Jacek M.  |e editor.  |0 (orcid)0000-0001-6622-534X  |1 https://orcid.org/0000-0001-6622-534X  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783031843525 
776 0 8 |i Printed edition:  |z 9783031843549 
830 0 |a Lecture Notes in Artificial Intelligence,  |x 2945-9141 ;  |v 15164 
856 4 0 |u https://doi.org/10.1007/978-3-031-84353-2 
912 |a ZDB-2-SCS 
912 |a ZDB-2-SXCS 
912 |a ZDB-2-SXPS 
912 |a ZDB-2-LNC 
912 |a ZDB-2-243 
950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710) 
950 |a Springer Nature Proceedings Computer Science (SpringerNature-85344) 
950 |a Focus Bundle Proceedings in AI Research (SpringerNature-85413)