Engineering Applications of Neural Networks: 25th International Conference, EANN 2024, Corfu, Greece, June 27-30, 2024, Proceedings

by Lazaros Iliadis (Editor), Ilias Maglogiannis (Editor), Antonios Papaleonidas (Editor), Elias Pimenidis (Editor), Chrisina Jayne (Editor)

Overview

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. 

Product Details

ISBN-13:	9783031624957
Publisher:	Springer-Verlag New York, LLC
Publication date:	06/21/2024
Series:	Communications in Computer and Information Science , #2141
Sold by:	Barnes & Noble
Format:	eBook
File size:	76 MB
Note:	This product may take a few minutes to download.

Table of Contents

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.