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Artificial Intelligence and Soft Computing: 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 1620, 2024, Proceedings, Part III [Pehme köide]

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  • Formaat: Paperback / softback, 394 pages, kõrgus x laius: 235x155 mm, 106 Illustrations, color; 40 Illustrations, black and white; XIV, 394 p. 146 illus., 106 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Artificial Intelligence 15166
  • Ilmumisaeg: 26-Feb-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031815955
  • ISBN-13: 9783031815959
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  • Formaat: Paperback / softback, 394 pages, kõrgus x laius: 235x155 mm, 106 Illustrations, color; 40 Illustrations, black and white; XIV, 394 p. 146 illus., 106 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Artificial Intelligence 15166
  • Ilmumisaeg: 26-Feb-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031815955
  • ISBN-13: 9783031815959
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 1620, 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.
.- Various Problems of Artificial Intelligence.



.- Agent-Based Model for Field Service Management.



.- Evaluating policy effectiveness to enhance smart farming technologies
adoption using fuzzy logic and Sugeno integral.



.- Functional based fuzzy logic query library.



.- Automatic Program Assessment, Grading and Code Generation: Possible
AI-Support in a Software Development Course.



.- Computer Network User Profiling using Firewall Logs and ANFIS-based Hybrid
Systems.



.- Different Approaches for Customer Lifetime Value in e-Book Subscription
Domain.



.- Tweeting on an Empty Stomach: Unpacking Food Price Hikes and Inflation via
Twitter.



.- Memory Augmented Multi-Agent Reinforcement Learning for Cooperative
Environment.



.- The use of fuzzy sets in the classification of metagenomic data..- Speech
deepfake recognition with data-efficient vision transformers.



.- Explainable Cubic Attention-based Autoencoder for Skin Cancer
Classification.



.- A Study of Classifiers for Marking Short Answers in Intelligent Tutoring
Systems.



.- Ontology-based rare disease database integration - practical issues and
challenges.



.- A Review of the Challenges with Massive Web-mined Corpora Used in Large
Language Models PreTraining.



.- A Hybrid Approach towards Vertical Handover in 5G Networks using Genetic
Neuro-Fuzzy Controller.



.- Swarm Optimization for Enhanced Random Forest-Based IoT Security.



.- PV solar power forecasting using a subset of characteristic features
selected by AI methods.



.- Pain intensity assessment using Recurrent Neural Networks..- Improving
YOLOv8: An Algorithm Based on EfficientRepHead and BIFPN.



.- T-REX: Trustworthy and Reliable EXplainability Framework.



.- Bioinformatics, Biometrics and Medical Applications.



.- Multi-Label Long-Tailed Disease Recognition on Chest X-ray Images.



.- Myo-to-Gesture: Evolving AI-Based Innovations in Myoelectric Signal
Processing State-of-the-Art Survey and Research Proposal.



.- A new image enhancement-based framework for spoofing detection in
ear-based biometric authentication systems.



.- From Omics Data to Candidate Genes: An Innovative Machine Learning
Approach for Biomarker Identification.



.- Machine Learning-Based Tool for Efficient Discrimination Between
Deleterious and Neutral Missense Mutations.



.- Classification of cardiac arrhythmias using 1D and 2D convolutional neural
networks.



.- Can algorithms used in automatic preprocessing affect the final value of
brain volume? - preliminary study.



.- Pupil Constrictions and Dilations Effects as Data Augmentation on an Iris
Recognition CNN Approach.



.- Breaking the Mold: ViT-CNN Fusion for Enhanced Glaucoma Prediction in OCT
Images.



.- Positioning the Reconstruction Plane for a Statistical Iterative
Reconstruction Algorithm with Rebinning in CT Scanners with a Flying Focal
Spot.



.- Biometric iris authentication using a segmentation network with attention
and a key-points detection algorithm.



.- Polyps Segmentation in Colonoscopy Images using SegFormer Transformer.



.- Wavelet feature extraction for dermoscopy images by tree-like wrappers.