Machine Learning-based Layer-wise Detection of Overheating Anomaly in LPBF using Photodiode Data
Fuente:
arXiv
Saved in:
| Main Authors: | Hasan, Nazmul, Saha, Apurba Kumar, Wessman, Andrew, Shafae, Mohammed |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Machine Learning-based Anomaly Detection Framework in Life Insurance Contracts
by: Groll, Andreas, et al.
Published: (2024)
by: Groll, Andreas, et al.
Published: (2024)
Advance Real-time Detection of Traffic Incidents in Highways using Vehicle Trajectory Data
by: Roy, Sudipta, et al.
Published: (2024)
by: Roy, Sudipta, et al.
Published: (2024)
A Machine Learning Framework for Breast Cancer Treatment Classification Using a Novel Dataset
by: Hasan, Md Nahid, et al.
Published: (2025)
by: Hasan, Md Nahid, et al.
Published: (2025)
Anomaly Detection in Power Grids via Context-Agnostic Learning
by: Park, SangWoo, et al.
Published: (2024)
by: Park, SangWoo, et al.
Published: (2024)
Predicting VBAC Outcomes from U.S. Natality Data using Deep and Classical Machine Learning Models
by: Anand, Ananya
Published: (2025)
by: Anand, Ananya
Published: (2025)
Monitoring Machine Learning Forecasts for Platform Data Streams
by: Rombouts, Jeroen, et al.
Published: (2024)
by: Rombouts, Jeroen, et al.
Published: (2024)
Anomaly detection using data depth: multivariate case
by: Mozharovskyi, Pavlo, et al.
Published: (2022)
by: Mozharovskyi, Pavlo, et al.
Published: (2022)
Conformal time series decomposition with component-wise exchangeability
by: Prinzhorn, Derck W. E., et al.
Published: (2024)
by: Prinzhorn, Derck W. E., et al.
Published: (2024)
Classification of Epileptic iEEG using Topological Machine Learning
by: Tanweer, Sunia, et al.
Published: (2026)
by: Tanweer, Sunia, et al.
Published: (2026)
Data Curation for Machine Learning Interatomic Potentials by Determinantal Point Processes
by: Zou, Joanna, et al.
Published: (2026)
by: Zou, Joanna, et al.
Published: (2026)
Human Limits in Machine Learning: Prediction of Plant Phenotypes Using Soil Microbiome Data
by: Aghdam, Rosa, et al.
Published: (2023)
by: Aghdam, Rosa, et al.
Published: (2023)
Interpretable Machine Learning for Cognitive Aging: Handling Missing Data and Uncovering Social Determinant
by: Mao, Xi, et al.
Published: (2025)
by: Mao, Xi, et al.
Published: (2025)
Fusion Sampling Validation in Data Partitioning for Machine Learning
by: Udomboso, Christopher Godwin, et al.
Published: (2025)
by: Udomboso, Christopher Godwin, et al.
Published: (2025)
Bayesian algorithmic perfumery: A Hierarchical Relevance Vector Machine for the Estimation of Personalized Fragrance Preferences based on Three Sensory Layers and Jungian Personality Archetypes
by: Martinez, Rolando Gonzales
Published: (2024)
by: Martinez, Rolando Gonzales
Published: (2024)
Mapping Methane -- The Impact of Dairy Farm Practices on Emissions Through Satellite Data and Machine Learning
by: Bi, Hanqing, et al.
Published: (2024)
by: Bi, Hanqing, et al.
Published: (2024)
SPINEX: Similarity-based Predictions and Explainable Neighbors Exploration for Regression and Classification Tasks in Machine Learning
by: Naser, M. Z., et al.
Published: (2023)
by: Naser, M. Z., et al.
Published: (2023)
Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data
by: Aouar, Lynda, et al.
Published: (2024)
by: Aouar, Lynda, et al.
Published: (2024)
Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies
by: Lau, Matthew, et al.
Published: (2025)
by: Lau, Matthew, et al.
Published: (2025)
Multi-scale Masked Autoencoder for Electrocardiogram Anomaly Detection
by: Zhou, Ya, et al.
Published: (2025)
by: Zhou, Ya, et al.
Published: (2025)
Bayesian Hybrid Machine Learning of Gallstone Risk
by: Chakraborty, Chitradipa, et al.
Published: (2025)
by: Chakraborty, Chitradipa, et al.
Published: (2025)
Time-Series Anomaly Classification for Launch Vehicle Propulsion Systems: Fast Statistical Detectors Enhancing LSTM Accuracy and Data Quality
by: Engelstad, Sean P., et al.
Published: (2026)
by: Engelstad, Sean P., et al.
Published: (2026)
Evaluation of Missing Data Analytical Techniques in Longitudinal Research: Traditional and Machine Learning Approaches
by: Tang, Dandan, et al.
Published: (2024)
by: Tang, Dandan, et al.
Published: (2024)
Comprehensive Benchmarking of Machine Learning Methods for Risk Prediction Modelling from Large-Scale Survival Data: A UK Biobank Study
by: Oexner, Rafael R., et al.
Published: (2025)
by: Oexner, Rafael R., et al.
Published: (2025)
Change-point Detection and Segmentation of Discrete Data using Bayesian Context Trees
by: Lungu, Valentinian, et al.
Published: (2022)
by: Lungu, Valentinian, et al.
Published: (2022)
Machine learning-based probabilistic forecasting of solar irradiance in Chile
by: Baran, Sándor, et al.
Published: (2024)
by: Baran, Sándor, et al.
Published: (2024)
Utilizing Model Residuals to Identify Rental Properties of Interest: The Price Anomaly Score (PAS) and Its Application to Real-time Data in Manhattan
by: Sultan, Youssef, et al.
Published: (2023)
by: Sultan, Youssef, et al.
Published: (2023)
Intelligent Diagnosis of Alzheimer's Disease Based on Machine Learning
by: Li, Mingyang, et al.
Published: (2024)
by: Li, Mingyang, et al.
Published: (2024)
A Comprehensive Approach to Carbon Dioxide Emission Analysis in High Human Development Index Countries using Statistical and Machine Learning Techniques
by: Khosravi, Hamed, et al.
Published: (2024)
by: Khosravi, Hamed, et al.
Published: (2024)
Dispersion based Recurrent Neural Network Model for Methane Monitoring in Albertan Tailings Ponds
by: Saha, Esha, et al.
Published: (2024)
by: Saha, Esha, et al.
Published: (2024)
Towards Unbiased Evaluation of Time-series Anomaly Detector
by: Bhattacharya, Debarpan, et al.
Published: (2024)
by: Bhattacharya, Debarpan, et al.
Published: (2024)
Predicting Air Pollution in Cork, Ireland Using Machine Learning
by: Rashidunnabi, Md, et al.
Published: (2025)
by: Rashidunnabi, Md, et al.
Published: (2025)
Predicting House Rental Prices in Ghana Using Machine Learning
by: Adzanoukpe, Philip
Published: (2025)
by: Adzanoukpe, Philip
Published: (2025)
Diagnostics for Individual-Level Prediction Instability in Machine Learning for Healthcare
by: Miller, Elizabeth W., et al.
Published: (2026)
by: Miller, Elizabeth W., et al.
Published: (2026)
Efficient Model Compression for Bayesian Neural Networks
by: Saha, Diptarka, et al.
Published: (2024)
by: Saha, Diptarka, et al.
Published: (2024)
Joint Models for Handling Non-Ignorable Missing Data using Bayesian Additive Regression Trees: Application to Leaf Photosynthetic Traits Data
by: Goh, Yong Chen, et al.
Published: (2024)
by: Goh, Yong Chen, et al.
Published: (2024)
Prediction of Respiratory Syncytial Virus-Associated Hospitalizations Using Machine Learning Models Based on Environmental Data
by: Guo, Eric
Published: (2025)
by: Guo, Eric
Published: (2025)
Heterogeneous Transfer Learning for Building High-Dimensional Generalized Linear Models with Disparate Datasets
by: Zhao, Ruzhang, et al.
Published: (2023)
by: Zhao, Ruzhang, et al.
Published: (2023)
Applications of Machine Learning in Pharmacogenomics: Clustering Plasma Concentration-Time Curves
by: Lautier, Jackson P., et al.
Published: (2022)
by: Lautier, Jackson P., et al.
Published: (2022)
Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks
by: Longjohn, Rachel, et al.
Published: (2025)
by: Longjohn, Rachel, et al.
Published: (2025)
A Comprehensive Analysis of Churn Prediction in Telecommunications Using Machine Learning
by: Chen, Xuhang, et al.
Published: (2025)
by: Chen, Xuhang, et al.
Published: (2025)
Similar Items
-
A Machine Learning-based Anomaly Detection Framework in Life Insurance Contracts
by: Groll, Andreas, et al.
Published: (2024) -
Advance Real-time Detection of Traffic Incidents in Highways using Vehicle Trajectory Data
by: Roy, Sudipta, et al.
Published: (2024) -
A Machine Learning Framework for Breast Cancer Treatment Classification Using a Novel Dataset
by: Hasan, Md Nahid, et al.
Published: (2025) -
Anomaly Detection in Power Grids via Context-Agnostic Learning
by: Park, SangWoo, et al.
Published: (2024) -
Predicting VBAC Outcomes from U.S. Natality Data using Deep and Classical Machine Learning Models
by: Anand, Ananya
Published: (2025)