東華大學圖書館 |

Engineering applications of neural networks = 25th International Conference, EANN 2024, Corfu, Greece, June 27-30, 2024 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Engineering applications of neural networks/ edited by Lazaros Iliadis ... [et al.].
Reminder of title:	25th International Conference, EANN 2024, Corfu, Greece, June 27-30, 2024 : proceedings /
remainder title:	EANN 2024
other author:	Iliadis, Lazaros.
corporate name:	EANN (Conference)
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xxvii, 583 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Neural networks (Computer science) - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-62495-7
ISBN:	9783031624957

Engineering applications of neural networks = 25th International Conference, EANN 2024, Corfu, Greece, June 27-30, 2024 : proceedings /
Engineering applications of neural networks25th International Conference, EANN 2024, Corfu, Greece, June 27-30, 2024 : proceedings /[electronic resource] :EANN 2024edited by Lazaros Iliadis ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xxvii, 583 p. :ill. (some col.), digital ;24 cm. - Communications in computer and information science,21411865-0937 ;. - Communications in computer and information science ;2141..

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.

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.

ISBN: 9783031624957

Standard No.: 10.1007/978-3-031-62495-7doiSubjects--Topical Terms:

582186
Neural networks (Computer science)
--Congresses.

LC Class. No.: QA76.87

Dewey Class. No.: 006.32

Engineering applications of neural networks = 25th International Conference, EANN 2024, Corfu, Greece, June 27-30, 2024 : proceedings /
LDR:05553nmm a2200349 a 4500 001 2372139
003 DE-He213
005 20240622125231.0
006 m d
007 cr nn 008maaau
008 241127s2024 sz s 0 eng d
020 $a 9783031624957 $q (electronic bk.)
020 $a 9783031624940 $q (paper)
024 7 $a 10.1007/978-3-031-62495-7 $2 doi
035 $a 978-3-031-62495-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.87
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.32 $2 23
090 $a QA76.87 $b .E12 2024
111 2 $a EANN (Conference) $n (25th : $d 2024 : $c Corfu, Greece) $3 3718650
245 1 0 $a Engineering applications of neural networks $h [electronic resource] : $b 25th International Conference, EANN 2024, Corfu, Greece, June 27-30, 2024 : proceedings / $c edited by Lazaros Iliadis ... [et al.].
246 3 $a EANN 2024
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xxvii, 583 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Communications in computer and information science, $x 1865-0937 ; $v 2141
505 0 $a 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 $a 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 $a Neural networks (Computer science) $x Congresses. $3 582186
650 0 $a Systems engineering $x Congresses. $3 695851
650 1 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Computer Communication Networks. $3 775497
650 2 4 $a Software Engineering. $3 890874
650 2 4 $a Computer Application in Social and Behavioral Sciences. $3 3538516
700 1 $a Iliadis, Lazaros. $3 1620594
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Communications in computer and information science ; $v 2141. $3 3718651
856 4 0 $u https://doi.org/10.1007/978-3-031-62495-7
950 $a Computer Science (SpringerNature-11645)