Process signature-driven high spatio-temporal resolution alignment of multimodal data
Fuente:
arXiv
Saved in:
| Main Authors: | Hanchate, Abhishek, Balhara, Himanshu, Chindepalli, Vishal S., Bukkapatnam, Satish T. S. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
In-situ surface porosity prediction in DED (directed energy deposition) printed SS316L parts using multimodal sensor fusion
by: Karthikeyan, Adithyaa, et al.
Published: (2023)
by: Karthikeyan, Adithyaa, et al.
Published: (2023)
Physics-guided machine learning predicts the planet-scale performance of solar farms with sparse, heterogeneous, public data
by: Jahangir, Jabir Bin, et al.
Published: (2024)
by: Jahangir, Jabir Bin, et al.
Published: (2024)
Generating gradients in the energy landscape using rectified linear type cost functions for efficiently solving 0/1 matrix factorization in Simulated Annealing
by: Konoshima, Makiko, et al.
Published: (2023)
by: Konoshima, Makiko, et al.
Published: (2023)
KAN-Matrix: Visualizing Nonlinear Pairwise and Multivariate Contributions for Physical Insight
by: De la Fuente, Luis A., et al.
Published: (2025)
by: De la Fuente, Luis A., et al.
Published: (2025)
Low-power multi-mode fiber projector overcomes shallow neural networks classifiers
by: Ancora, Daniele, et al.
Published: (2022)
by: Ancora, Daniele, et al.
Published: (2022)
Development of a high-resolution indoor radon map using a new machine learning-based probabilistic model and German radon survey data
by: Petermann, Eric, et al.
Published: (2023)
by: Petermann, Eric, et al.
Published: (2023)
Physics-constrained polynomial chaos expansion for scientific machine learning and uncertainty quantification
by: Sharma, Himanshu, et al.
Published: (2024)
by: Sharma, Himanshu, et al.
Published: (2024)
Learning thermodynamically constrained equations of state with uncertainty
by: Sharma, Himanshu, et al.
Published: (2023)
by: Sharma, Himanshu, et al.
Published: (2023)
Hitchhiker's guide on the relation of Energy-Based Models with other generative models, sampling and statistical physics: a comprehensive review
by: Carbone, Davide
Published: (2024)
by: Carbone, Davide
Published: (2024)
Application of machine learning in grain-related clustering of Laue spots in a polycrystalline energy dispersive Laue pattern
by: Tosson, Amir, et al.
Published: (2024)
by: Tosson, Amir, et al.
Published: (2024)
Reducing hyperparameter sensitivity in measurement-feedback based Ising machines
by: Sevenants, Toon, et al.
Published: (2026)
by: Sevenants, Toon, et al.
Published: (2026)
Physics-guided impact localisation and force estimation in composite plates with uncertainty quantification
by: Xiao, Dong, et al.
Published: (2025)
by: Xiao, Dong, et al.
Published: (2025)
Beyond empirical models: Discovering new constitutive laws in solids with graph-based equation discovery
by: Xu, Hao, et al.
Published: (2025)
by: Xu, Hao, et al.
Published: (2025)
Data-driven Progressive Discovery of Physical Laws
by: Xia, Mingkun, et al.
Published: (2026)
by: Xia, Mingkun, et al.
Published: (2026)
Tunable correlation retention: A statistical method for generating synthetic data
by: Jävergård, Nicklas, et al.
Published: (2024)
by: Jävergård, Nicklas, et al.
Published: (2024)
Optimal Symmetries in Binary Classification
by: Ngairangbam, Vishal S., et al.
Published: (2024)
by: Ngairangbam, Vishal S., et al.
Published: (2024)
Machine learning for exoplanet detection in high-contrast spectroscopy Combining cross correlation maps and deep learning on medium-resolution integral-field spectra
by: Nath-Ranga, Rakesh, et al.
Published: (2024)
by: Nath-Ranga, Rakesh, et al.
Published: (2024)
Assessing high-order effects in feature importance via predictability decomposition
by: Ontivero-Ortega, Marlis, et al.
Published: (2024)
by: Ontivero-Ortega, Marlis, et al.
Published: (2024)
Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors
by: Tan, Shulin
Published: (2025)
by: Tan, Shulin
Published: (2025)
Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory
by: Kavrakov, Igor, et al.
Published: (2024)
by: Kavrakov, Igor, et al.
Published: (2024)
DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection
by: Mei, Lin-Feng, et al.
Published: (2024)
by: Mei, Lin-Feng, et al.
Published: (2024)
Diffractive Magic Cube Network with Super-high Capacity Enabled by Mechanical Reconfiguration
by: Feng, Peijie, et al.
Published: (2024)
by: Feng, Peijie, et al.
Published: (2024)
Learning effective good variables from physical data
by: Barletta, Giulio, et al.
Published: (2024)
by: Barletta, Giulio, et al.
Published: (2024)
Exploring applications of topological data analysis in stock index movement prediction
by: Huang, Dazhi, et al.
Published: (2024)
by: Huang, Dazhi, et al.
Published: (2024)
Learning from the past: predicting critical transitions with machine learning trained on surrogates of historical data
by: Ma, Zhiqin, et al.
Published: (2024)
by: Ma, Zhiqin, et al.
Published: (2024)
From Occurrence to Consequence: A Comprehensive Data-driven Analysis of Building Fire Risk
by: Ma, Chenzhi, et al.
Published: (2025)
by: Ma, Chenzhi, et al.
Published: (2025)
Information-theoretic analysis of temporal dependence in discrete stochastic processes: Application to precipitation predictability
by: De Gregorio, Juan, et al.
Published: (2025)
by: De Gregorio, Juan, et al.
Published: (2025)
Information FOMO: The unhealthy fear of missing out on information. A method for removing misleading data for healthier models
by: Pickering, Ethan, et al.
Published: (2022)
by: Pickering, Ethan, et al.
Published: (2022)
Human-aligned Quantification of Numerical Data
by: Kolonin, Anton
Published: (2025)
by: Kolonin, Anton
Published: (2025)
Statistical limits of correlation detection in trees
by: Ganassali, Luca, et al.
Published: (2022)
by: Ganassali, Luca, et al.
Published: (2022)
An information-matching approach to optimal experimental design and active learning
by: Kurniawan, Yonatan, et al.
Published: (2024)
by: Kurniawan, Yonatan, et al.
Published: (2024)
Hierarchical Dimensionless Learning (Hi-π): A physics-data hybrid-driven approach for discovering dimensionless parameter combinations
by: Xia, Mingkun, et al.
Published: (2025)
by: Xia, Mingkun, et al.
Published: (2025)
Surface roughness-informed fatigue life prediction of L-PBF Hastelloy X at elevated temperature
by: Pal, Ritam, et al.
Published: (2024)
by: Pal, Ritam, et al.
Published: (2024)
Brightify: A tool for calculating directionally-resolved brightness in neutron sources
by: Akhyani, Mina, et al.
Published: (2025)
by: Akhyani, Mina, et al.
Published: (2025)
A Physics-Augmented Machine Learning Constitutive Model for Damage in Solids
by: Amiri-Hezaveh, Amirhossein, et al.
Published: (2025)
by: Amiri-Hezaveh, Amirhossein, et al.
Published: (2025)
Micro-Doppler-Coded Drone Identification
by: Vovchuk, Dmytro, et al.
Published: (2024)
by: Vovchuk, Dmytro, et al.
Published: (2024)
Advancing Noise-Resilient Twist Angle Characterization in Bilayer Graphene through Raman Spectroscopy via GAN-CNN Modeling
by: Hu, Dan, et al.
Published: (2024)
by: Hu, Dan, et al.
Published: (2024)
Data-driven Approach for Interpolation of Sparse Data
by: Ferguson, R. F., et al.
Published: (2025)
by: Ferguson, R. F., et al.
Published: (2025)
Data-driven Initial Gap Identification of Piecewise-linear Systems using Sparse Regression and Universal Approximation Theorem
by: Kanki, Ryosuke, et al.
Published: (2026)
by: Kanki, Ryosuke, et al.
Published: (2026)
Reliable data clustering with Bayesian community detection
by: Neuman, Magnus, et al.
Published: (2025)
by: Neuman, Magnus, et al.
Published: (2025)
Similar Items
-
In-situ surface porosity prediction in DED (directed energy deposition) printed SS316L parts using multimodal sensor fusion
by: Karthikeyan, Adithyaa, et al.
Published: (2023) -
Physics-guided machine learning predicts the planet-scale performance of solar farms with sparse, heterogeneous, public data
by: Jahangir, Jabir Bin, et al.
Published: (2024) -
Generating gradients in the energy landscape using rectified linear type cost functions for efficiently solving 0/1 matrix factorization in Simulated Annealing
by: Konoshima, Makiko, et al.
Published: (2023) -
KAN-Matrix: Visualizing Nonlinear Pairwise and Multivariate Contributions for Physical Insight
by: De la Fuente, Luis A., et al.
Published: (2025) -
Low-power multi-mode fiber projector overcomes shallow neural networks classifiers
by: Ancora, Daniele, et al.
Published: (2022)