Engineering Applications of Neural Networks (Record no. 88347)
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| fixed length control field | 07197nam a22006135i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-031-62495-7 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730172504.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240622s2024 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783031624957 |
| -- | 978-3-031-62495-7 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.3 |
| 245 10 - TITLE STATEMENT | |
| Title | Engineering Applications of Neural Networks |
| Sub Title | 25th International Conference, EANN 2024, Corfu, Greece, June 27-30, 2024, Proceedings / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2024. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XXVII, 583 p. 198 illus., 169 illus. in color. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Communications in Computer and Information Science, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Deep Learning -- Active Learning with Aggregated Uncertainties from Image AugmentationsAn Approach to Predict Optimal Configurations for LDA-based Topic Modeling -- An Autoencoder-based approach for Anomaly Detection of Machining Processes using Acoustic Emission signals -- An EANN-Based Recommender System for Drug RecommendationAutomation of the error-prone PAM-4 sequence discovery for the purpose of high-speed serial receiver testing using reinforcement learning methods -- Binary Black Hole Parameter Estimation from Gravitational Waves with Deep Learning MethodsComparative Analysis of Large Language Models in Structured Information Extraction from Job Postings -- Comparative study between Q-NAS and traditional CNNs for Brain Tumor classification -- Deep Echo State Networks for modelling of industrial systems -- Empirical Insights into Deep Learning Models for Misinformation Classification within Constrained Data EnvironmentEnhancing Bandwidth Efficiency for Video Motion Transfer Applications using Deep Learning Based Keypoint Prediction -- Enhancing Natural Language Query to SQL Query Generation through Classification-Based Table SelectionExploiting LMM-based knowledge for image classification tasks -- HEADS: Hybrid Ensemble Anomaly Detection System for Internet-of-Things NetworksHEDL-IDS2: An Innovative Hybrid Ensemble Deep Learning Prototype for Cyber Intrusion DetectionIntelligent framework for monitoring student emotions during online learning -- Leveraging Diverse Data Sources for Enhanced Prediction of Severe Weather-Related Disruptions Across Different Time Horizons -- Machine Learning-Based Detection and Classification of Neurodevelopmental Disorders from Speech Patterns -- Neural SDE-based Epistemic Uncertainty Quantification in Deep Neural Networks -- Robust Traffic Prediction using Probabilistic Spatio-temporal Graph Convolutional Network -- Support Vector Based Anomaly Detection in Federated LearningTowards Digitisation of Technical Drawings in Architecture: Evaluation of CNN Classification on the Perdaw DatasetYOLOv5 and Residual Network for Intelligent Text Recognition on Degraded Serial Number Plates -- Neural Networks -- A Spike Vision Approach for Multi-Object Detection and Generating Dataset Using Multi-Core Architecture on Edge DeviceEnsembles of bidirectional LSTM and GRU neural nets for predicting mother-infant synchrony in videos -- Feature selection with L1 regularization in formal neurons -- Graph-Based Fault Localization in Python Projects with Class-Imbalanced Learning -- HCER: Hierarchical Clustering-Ensemble Regressor -- Machine Learning Modeling in Industrial Processes for Visual AnalysisMachine Learning modeling to provide assistance to basketball coaches -- Understanding Users' Confidence in Spoken Queries for Conversational Search Systems -- Unsupervised Anomaly Detection Combining PCA and Neural Gases -- Machine Learning -- A new approach to learn spatio-spectral texture representation with randomized networks: Application to Brazilian plant species identification -- Application of Directional Vectors for Independent Subspaces in Bio-inspired NetworksAssessing the Impact of Preprocessing Pipelines on fMRI based Autism Spectrum Disorder Classification: ABIDE II resultsData-Driven Methods for Wi-Fi Anomaly DetectionDiscrete-Time Replicator Equations and The Price of Cognition on Parallel Neural Networks -- Evaluating forecast distributions in neural network HAR-type models for range-based volatility -- Machine Learning Classification of Water Conductivity raw values of "Faneromeni" Reservoir in Crete -- Machine Learning-Based Feature Mapping for Enhanced Understanding of the Housing MarketMachine Learning-Driven Improvements in HRV Artifact Correction for Psychosis Prediction in the Schizophrenia Spectrum -- Machine Unlearning; A Comparative AnalysisSecurity Analysis of Cryptographic Algorithms: Hints from Machine Learning. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This book constitutes the refereed proceedings of the 25th International Conference on Engineering Applications of Neural Networks, EANN 2024, held in Corfu, Greece, during June 27-30, 2024. The 41 full and 2 short papers included in this book were carefully reviewed and selected from 85 submissions. They deal with reinforcement; natural language; biomedical applications; classificaiton; deep learning; convolutional neural networks. . |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Data processing. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Iliadis, Lazaros. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Maglogiannis, Ilias. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Papaleonidas, Antonios. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Pimenidis, Elias. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Jayne, Chrisina. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-62495-7 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer Nature Switzerland : |
| -- | Imprint: Springer, |
| -- | 2024. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
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| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
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| 347 ## - | |
| -- | text file |
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| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer networks . |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Software engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Social sciences |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Communication Networks. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Software Engineering. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Application in Social and Behavioral Sciences. |
| 700 1# - AUTHOR 2 | |
| -- | (orcid) |
| -- | 0000-0002-6404-1528 |
| 700 1# - AUTHOR 2 | |
| -- | (orcid) |
| -- | 0000-0003-2860-399X |
| 700 1# - AUTHOR 2 | |
| -- | (orcid) |
| -- | 0000-0002-0545-7638 |
| 700 1# - AUTHOR 2 | |
| -- | (orcid) |
| -- | 0000-0003-3593-8640 |
| 700 1# - AUTHOR 2 | |
| -- | (orcid) |
| -- | 0000-0001-7292-2109 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 1865-0937 ; |
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