LEADER 05484nam 22007335 450 001 9910767562003321 005 20251009082058.0 010 $a9783031416309 010 $a3031416309 024 7 $a10.1007/978-3-031-41630-9 035 $a(MiAaPQ)EBC30980185 035 $a(Au-PeEL)EBL30980185 035 $a(CKB)29128123800041 035 $a(DE-He213)978-3-031-41630-9 035 $a(EXLCZ)9929128123800041 100 $a20231130d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProgress on Pattern Classification, Image Processing and Communications $eProceedings of the CORES and IP&C Conferences 2023 /$fedited by Robert Burduk, Micha? Chora?, Rafa? Kozik, Pawe? Ksieniewicz, Tomasz Marciniak, Pawe? Trajdos 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (241 pages) 225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v766 311 08$aPrint version: Burduk, Robert Progress on Pattern Classification, Image Processing and Communications Cham : Springer,c2024 9783031416293 327 $aA novel approach of multi-string parsing for syntactic pattern recognition -- Hollow n-grams vectorizer for Natural Language Processing problems -- A non-deep approach to classifying movie genres based on multimodal data -- Incremental Extreme Learning Machine for Binary Data Stream Classification -- Interpreting Intrusions - The Role of Explainability in AI-based Intrusion Detection System -- Real-time deformation of three-dimensional volumetric models using mesh models -- Hyperparameters Optimization using GridSearchCV Method for TinyML models -- Analysis of the Possibility to Employ Relationship Between the Problem Complexity and the Classification Quality as Model Optimization Proxy -- Deep Learning for pit detection in cherries -- Image analysis system for augmented reality games -- Coregistration of selected sequences in MRI imaging based on edge analysis of image difference -- Actinic Keratosis Prediction Basedon Deep Learning Methods -- A New Assessment of Convolutional Neural Networks for Texture Directionality Detection -- Knowledge Distillation with Relative Representations for Image Representation Learning -- An Approach for CT Image Conversion Using Filtering Based on Quaternion Mathematics -- Exploring Text-Guided Synthetic Distribution Shifts for Robust Image Classification -- Color Tracking Application Using AI-based Docker Container Scheduling in Fog Computing -- Air pollution monitoring and information distribution system -- Detection of conspiracy theories from tweets using NLI-based Zero Shot Text Classification models -- Battery management system for Polish hybrid residential photovoltaic power plants -- Document Annotation Tool For News Content Analysis -- Dynamic time warping technique applied to the user?s intent recognition for myoelectric-based control of upper limb prosthesis -- A Hybrid Long Short-Term Memory Network Based on Wind and Rain Sensitive and its Application to PM2.5 Prediction. 330 $aThis book presents a collection of high-quality research papers accepted to multi-conference consisting of the 13th International Conference on Image Processing and Communications (IP&C 2023), the 13th International Conference on Computer Recognition Systems (CORES 2023) held jointly in Wroclaw, Poland (virtually), in June 2023. The accepted papers address current computer science and computer systems-related technological challenges and solutions, as well as many practical applications and results. The first part of the book deals with advances in pattern recognition and classifiers, the second part is devoted to image processing and computer vision, while the third part addresses practical applications of computer recognition systems. We believe this book will be interesting for researchers and practitioners in many fields of computer science and IT applications. 410 0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v766 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aPattern recognition systems 606 $aSignal processing 606 $aComputer vision 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aAutomated Pattern Recognition 606 $aDigital and Analog Signal Processing 606 $aComputer Vision 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aPattern recognition systems. 615 0$aSignal processing. 615 0$aComputer vision. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aAutomated Pattern Recognition. 615 24$aDigital and Analog Signal Processing. 615 24$aComputer Vision. 676 $a006.3 700 $aBurduk$b Robert$01453539 701 $aChoras?$b Micha?$01453540 701 $aKozik$b Rafa?$01453541 701 $aKsieniewicz$b Pawe?$01453542 701 $aMarciniak$b Tomasz$01453543 701 $aTrajdos$b Pawe?$01453544 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910767562003321 996 $aProgress on Pattern Classification, Image Processing and Communications$93656187 997 $aUNINA