Engineering Applications of Neural Networks 25th International Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings /
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...
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| Institution som forfatter: | |
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| Andre forfattere: | , , , , |
| Format: | Electronisk eBog |
| Sprog: | engelsk |
| Udgivet: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Udgivelse: | 1st ed. 2024. |
| Serier: | Communications in Computer and Information Science,
2141 |
| Fag: | |
| Online adgang: | https://doi.org/10.1007/978-3-031-62495-7 |
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Indholdsfortegnelse:
- 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.