Engineering Applications of Neural Networks : 25th International Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings / edited by Lazaros Iliadis, Ilias Maglogiannis, Antonios Papaleonidas, Elias Pimenidis, Chrisina Jayne.

Format:

Book

Author/Creator:

Iliadis, Lazaros.

Contributor:

Maglogiannis, Ilias.

Papaleonidas, Antonios.

Pimenidis, Elias.

Jayne, Chrisina.

Series:

Communications in Computer and Information Science, 1865-0937 ; 2141

Language:

English

Subjects (All):

Artificial intelligence.

Computer networks.

Software engineering.

Social sciences--Data processing.

Social sciences.

Artificial Intelligence.

Computer Communication Networks.

Software Engineering.

Computer Application in Social and Behavioral Sciences.

Local Subjects:

Artificial Intelligence.

Computer Communication Networks.

Software Engineering.

Computer Application in Social and Behavioral Sciences.

Physical Description:

1 online resource (603 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

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. .

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.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Iliadis, Lazaros Engineering Applications of Neural Networks

ISBN:

9783031624957

OCLC:

1442790809