LEADER 06892nam 22006735 450 001 9910866578203321 005 20240912151857.0 010 $a9783031624957$b(electronic bk.) 010 $z9783031624940 024 7 $a10.1007/978-3-031-62495-7 035 $a(MiAaPQ)EBC31500917 035 $a(Au-PeEL)EBL31500917 035 $a(CKB)32331411500041 035 $a(DE-He213)978-3-031-62495-7 035 $a(OCoLC)1442790809 035 $a(EXLCZ)9932331411500041 100 $a20240622d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEngineering Applications of Neural Networks $e25th International Conference, EANN 2024, Corfu, Greece, June 27?30, 2024, Proceedings /$fedited by Lazaros Iliadis, Ilias Maglogiannis, Antonios Papaleonidas, Elias Pimenidis, Chrisina Jayne 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (603 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v2141 311 08$aPrint version: Iliadis, Lazaros Engineering Applications of Neural Networks Cham : Springer,c2024 9783031624940 327 $aDeep 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. 330 $aThis book constitutes the refereed proceedings of the 25th International Conference on Engineering Applications of Neural Networks, EANN 2024, held in Corfu, Greece, during June 27-30, 2024. The 41 full and 2 short papers included in this book were carefully reviewed and selected from 85 submissions. They deal with reinforcement; natural language; biomedical applications; classificaiton; deep learning; convolutional neural networks. . 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v2141 606 $aArtificial intelligence 606 $aComputer networks 606 $aSoftware engineering 606 $aSocial sciences$xData processing 606 $aArtificial Intelligence 606 $aComputer Communication Networks 606 $aSoftware Engineering 606 $aComputer Application in Social and Behavioral Sciences 615 0$aArtificial intelligence. 615 0$aComputer networks. 615 0$aSoftware engineering. 615 0$aSocial sciences$xData processing. 615 14$aArtificial Intelligence. 615 24$aComputer Communication Networks. 615 24$aSoftware Engineering. 615 24$aComputer Application in Social and Behavioral Sciences. 676 $a006.3 700 $aIliadis$b Lazaros$0871694 701 $aMaglogiannis$b Ilias$0871692 701 $aPapaleonidas$b Antonios$01429354 701 $aPimenidis$b Elias$01380246 701 $aJayne$b Chrisina$01380245 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910866578203321 996 $aEngineering Applications of Neural Networks$94349682 997 $aUNINA