000 07817nam a22005655i 4500
001 978-3-031-42505-9
003 DE-He213
005 20240730203129.0
007 cr nn 008mamaa
008 230913s2023 sz | s |||| 0|eng d
020 _a9783031425059
_9978-3-031-42505-9
024 7 _a10.1007/978-3-031-42505-9
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aArtificial Intelligence and Soft Computing
_h[electronic resource] :
_b22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18-22, 2023, Proceedings, Part I /
_cedited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2023.
300 _aXX, 592 p. 161 illus., 136 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v14125
505 0 _aNeural Networks and Their Applications -- A novel approach to the GQR algorithm for neural networks training -- On Speeding Up the Levenberg-Marquardt Learning Algorithm -- Reinforcement Learning with Brain-Inspired Modulation Improves Adaptation to Environmental Changes -- Multi-Agent Deep Q-Network in Voxel-based Automated Electrical Routing -- Evaluation of the importance of optimizer selection in streaming neural network learning -- Training Neural Tensor Networks With Corrupted Relations -- Application of Monte Carlo Algorithms with Neural Network-Based Intermediate Area to the Thousand Card Game -- Learning representations by crystallized back-propagating errors -- Fuzzy Hyperplane based K-SVCR Multi-class Classification with Its Applications to Stock Prediction Problem -- Dynamic Hand Gesture Recognition for Human-Robot Collaborative Assembly -- Transfer of knowledge among instruments in automatic music transcription -- TheGeometry of Decision Borders Between Affine Space Prototypes for Nearest Prototype Classifiers -- An Interpretable Two-Layered Neural Network Structure - Based on Component-wise Reasoning -- Viscosity Estimation of Water-PVP Solutions from Droplets using Artificial Neural Networks and Image Processing -- Pruning convolutional filters via reinforcement learning with entropy minimization -- Unsupervised Representation Learning: Target Regularization for Cross-domain Sentiment Classification -- Decentralized federated learning loop with constrained trust mechanism -- Learning Activation Functions for Adversarial Attack Resilience in CNNs -- Federated Learning for Human Activity Recognition on the MHealth Dataset -- Image Classification through Graph Neural Networks and Random Walks -- Bus Route Classification for Rural Areas using Graph Convolutional Networks -- Expansion rate parametrization and K-Fold inference with U-Net neural networks for multiclass medical image segmentation -- Transfer learning from ImageNet to the domain of pigmented nevi -- Towards Detecting Freezing of Gait Events using Wearable Sensors and Genetic Programming -- CNN-LSTM Optimized by Genetic Algorithm in Time Series Forecasting: An Automatic Method to use Deep Learning -- Authorship Attribution of Literary Texts using Named Entity Masking and MaxLogit-based Sequence Classification for Varying Text Lengths -- Gates Are Not What You Need in RNNs -- Generating Image Captions in Polish using Transformer Architecture -- Evolutionary Algorithms and Their Applications -- An hybrid NSGA-II algorithm for the Bi-objective Mobile Mammography Unit Routing Problem -- Controlled Refresh of the Population in Differential Evolution for Real-World Problems -- A new Hybrid Particle Swarm Optimization and Evolutionary Algorithm with Self-Adaptation Mechanism -- Data Mining Car Configurator Clickstream Data to Identify Potential Consumers: A Genetic Algorithm Approach -- Multi-population algorithm using surrogate models and different training plans -- Multi-population-based algorithms with different migration topologies and their improvement by population re-initialization -- Machine Learning Assisted Interactive Multi-Objectives Optimization Framework: A Proposed Formulation and Method for Overtime Planning in Software Development Projects . -- Improved Barnacles Movement Optimizer (IBMO) Algorithm for Engineering Design Problems -- Evolutionary-based generative design for electric transmission towers -- Enhanced Grey Wolf Optimizer -- Artificial Intelligence in Modeling and Simulation -- Security Intelligence for real-time security monitoring software -- Examine Effects of Class Imbalance on Conditional GAN Training -- Stochastic Model for Wildfire Simulation based on the characteristics of the Brazilian Cerrado -- Test Case Generator for Problems of Complete Coverage and Path Planning for Emergency Response by UAVs -- Application of artificial neural networks in electric arc furnace modeling -- Profiling users of the online store in terms of price sensitivity . -- Learning Bezier-Durrmeyer type descriptors for classifying curves - preliminary studies -- Prediction accuracy of direction changes with ELM, MLP and LSTM on the example of exchange rates -- Child tracking and Prediction of Violence on Children in social media using Natural Language Processing and Machine Learning -- Adequate basis for the data-driven and machine-learning-based identification.
520 _aThe two-volume set LNAI 14125 and 14126 constitutes the refereed conference proceedings of the 22nd International Conference on Artificial Intelligence and Soft Computing, ICAISC 2023, held in Zakopane, Poland, during June 18-22, 2023. The 84 revised full papers presented in these proceedings were carefully reviewed and selected from 175 submissions. The papers are organized in the following topical sections: Part I: Neural Networks and Their Applications; Evolutionary Algorithms and Their Applications; and Artificial Intelligence in Modeling and Simulation. Part II: Computer Vision, Image and Speech Analysis; Various Problems of Artificial Intelligence; Bioinformatics, Biometrics and Medical Applications; and Data Mining and Pateern Classification. .
650 0 _aArtificial intelligence.
_93407
650 1 4 _aArtificial Intelligence.
_93407
700 1 _aRutkowski, Leszek.
_eeditor.
_0(orcid)
_10000-0001-6960-9525
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9174605
700 1 _aScherer, Rafał.
_eeditor.
_0(orcid)
_10000-0001-9592-262X
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9174606
700 1 _aKorytkowski, Marcin.
_eeditor.
_0(orcid)
_10000-0002-6002-2733
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9174607
700 1 _aPedrycz, Witold.
_eeditor.
_0(orcid)
_10000-0002-9335-9930
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9174608
700 1 _aTadeusiewicz, Ryszard.
_eeditor.
_0(orcid)
_10000-0001-9675-5819
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9174609
700 1 _aZurada, Jacek M.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9174610
710 2 _aSpringerLink (Online service)
_9174611
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031425042
776 0 8 _iPrinted edition:
_z9783031425066
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v14125
_9174612
856 4 0 _uhttps://doi.org/10.1007/978-3-031-42505-9
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cELN
999 _c97353
_d97353