Machine Learning in High Volume Media Manufacturing
Fuente:
arXiv
Saved in:
| Main Authors: | Karuka, Siddarth Reddy, Sunderrajan, Abhinav, Zheng, Zheng, Tiean, Yong Woon, Nagappan, Ganesh, Luk, Allan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Modeling Information Blackouts in Missing Not-At-Random Time Series Data
by: Sunesh, Aman, et al.
Published: (2026)
by: Sunesh, Aman, et al.
Published: (2026)
Motor Vehicle Accident Severity Prediction Via Machine Learning
by: Chandolu, Abhinav
Published: (2025)
by: Chandolu, Abhinav
Published: (2025)
Machine Learning Hamiltonian Dynamical Systems with Sparse and Noisy Data
by: Thapar, Vedanta, et al.
Published: (2026)
by: Thapar, Vedanta, et al.
Published: (2026)
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF: A Reproducibility Study
by: Ganesh, Anirudh, et al.
Published: (2025)
by: Ganesh, Anirudh, et al.
Published: (2025)
BLAZE: Cross-Language and Cross-Project Bug Localization via Dynamic Chunking and Hard Example Learning
by: Chakraborty, Partha, et al.
Published: (2024)
by: Chakraborty, Partha, et al.
Published: (2024)
1st-Order Magic: Analysis of Sharpness-Aware Minimization
by: Tiwary, Nalin, et al.
Published: (2024)
by: Tiwary, Nalin, et al.
Published: (2024)
Machine Translation with Large Language Models: Decoder Only vs. Encoder-Decoder
by: M., Abhinav P., et al.
Published: (2024)
by: M., Abhinav P., et al.
Published: (2024)
Reward-Aware Proto-Representations in Reinforcement Learning
by: Tse, Hon Tik, et al.
Published: (2025)
by: Tse, Hon Tik, et al.
Published: (2025)
A Comprehensive Performance Comparison of Traditional and Ensemble Machine Learning Models for Online Fraud Detection
by: Khekare, Ganesh, et al.
Published: (2025)
by: Khekare, Ganesh, et al.
Published: (2025)
Systemizing Multiplicity: The Curious Case of Arbitrariness in Machine Learning
by: Ganesh, Prakhar, et al.
Published: (2025)
by: Ganesh, Prakhar, et al.
Published: (2025)
Review of Machine Learning Methods for Additive Manufacturing of Functionally Graded Materials
by: Karimzadeh, Mohammad, et al.
Published: (2023)
by: Karimzadeh, Mohammad, et al.
Published: (2023)
Physics-Informed Machine Learning for Pouch Cell Temperature Estimation
by: Liu, Zheng
Published: (2026)
by: Liu, Zheng
Published: (2026)
Survey-aware Machine Learning: A Guideline for Valid Population Health Inference based on Scoping Review
by: Oh, YongKyung, et al.
Published: (2026)
by: Oh, YongKyung, et al.
Published: (2026)
Research on Milling Machine Predictive Maintenance Based on Machine Learning and SHAP Analysis in Intelligent Manufacturing Environment
by: Zhao, Wen, et al.
Published: (2025)
by: Zhao, Wen, et al.
Published: (2025)
General Post-Processing Framework for Fairness Adjustment of Machine Learning Models
by: Eberhard, Léandre, et al.
Published: (2025)
by: Eberhard, Léandre, et al.
Published: (2025)
Applications of Machine Learning to Optimizing Polyolefin Manufacturing
by: Sharma, Niket, et al.
Published: (2024)
by: Sharma, Niket, et al.
Published: (2024)
2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing
by: Lee, Jay, et al.
Published: (2026)
by: Lee, Jay, et al.
Published: (2026)
At the Mahakumbh, Faith Met Tragedy: Computational Analysis of Stampede Patterns Using Machine Learning and NLP
by: Pratap, Abhinav
Published: (2025)
by: Pratap, Abhinav
Published: (2025)
Self-Supervised Learning-Based Multimodal Prediction on Prosocial Behavior Intentions
by: Naini, Abinay Reddy, et al.
Published: (2025)
by: Naini, Abinay Reddy, et al.
Published: (2025)
Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks
by: Han, Seunghee, et al.
Published: (2024)
by: Han, Seunghee, et al.
Published: (2024)
Root Cause Analysis Of Productivity Losses In Manufacturing Systems Utilizing Ensemble Machine Learning
by: Gram, Jonas, et al.
Published: (2024)
by: Gram, Jonas, et al.
Published: (2024)
Online Learning to Rank under Corruption: A Robust Cascading Bandits Approach
by: Ghaffari, Fatemeh, et al.
Published: (2025)
by: Ghaffari, Fatemeh, et al.
Published: (2025)
VIRL: Volume-Informed Representation Learning towards Few-shot Manufacturability Estimation
by: Chen, Yu-hsuan, et al.
Published: (2024)
by: Chen, Yu-hsuan, et al.
Published: (2024)
Physics-Informed Machine Learning for Smart Additive Manufacturing
by: Sharma, Rahul, et al.
Published: (2024)
by: Sharma, Rahul, et al.
Published: (2024)
The Data Minimization Principle in Machine Learning
by: Ganesh, Prakhar, et al.
Published: (2024)
by: Ganesh, Prakhar, et al.
Published: (2024)
The Laplacian Keyboard: Beyond the Linear Span
by: Chandrasekar, Siddarth, et al.
Published: (2026)
by: Chandrasekar, Siddarth, et al.
Published: (2026)
Discovery of Spatter Constitutive Models in Additive Manufacturing Using Machine Learning
by: Ajenifujah, Olabode T., et al.
Published: (2025)
by: Ajenifujah, Olabode T., et al.
Published: (2025)
Large Language Model Enhanced Machine Learning Estimators for Classification
by: Wu, Yuhang, et al.
Published: (2024)
by: Wu, Yuhang, et al.
Published: (2024)
Physics-informed Machine Learning for Battery Pack Thermal Management
by: Liu, Zheng, et al.
Published: (2024)
by: Liu, Zheng, et al.
Published: (2024)
Accelerating Multilevel Markov Chain Monte Carlo Using Machine Learning Models
by: Reddy, Sohail, et al.
Published: (2024)
by: Reddy, Sohail, et al.
Published: (2024)
Category-Theoretical and Topos-Theoretical Frameworks in Machine Learning: A Survey
by: Jia, Yiyang, et al.
Published: (2024)
by: Jia, Yiyang, et al.
Published: (2024)
Digital Twin Calibration for Biological System-of-Systems: Cell Culture Manufacturing Process
by: Cheng, Fuqiang, et al.
Published: (2024)
by: Cheng, Fuqiang, et al.
Published: (2024)
Novel Topological Machine Learning Methodology for Stream-of-Quality Modeling in Smart Manufacturing
by: Lee, Jay, et al.
Published: (2024)
by: Lee, Jay, et al.
Published: (2024)
Machine Learning-Based Prediction of Metal-Organic Framework Materials: A Comparative Analysis of Multiple Models
by: Zheng, Zhuo, et al.
Published: (2025)
by: Zheng, Zhuo, et al.
Published: (2025)
Comparison of Deterministic and Probabilistic Machine Learning Algorithms for Precise Dimensional Control and Uncertainty Quantification in Additive Manufacturing
by: Sanpui, Dipayan, et al.
Published: (2025)
by: Sanpui, Dipayan, et al.
Published: (2025)
Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing
by: Patel, D., et al.
Published: (2025)
by: Patel, D., et al.
Published: (2025)
Management Decisions in Manufacturing using Causal Machine Learning -- To Rework, or not to Rework?
by: Schwarz, Philipp, et al.
Published: (2024)
by: Schwarz, Philipp, et al.
Published: (2024)
Optimal Batch Allocation for Wireless Federated Learning
by: Song, Jaeyoung, et al.
Published: (2024)
by: Song, Jaeyoung, et al.
Published: (2024)
Breaking the Bias Barrier in Concave Multi-Objective Reinforcement Learning
by: Ganesh, Swetha, et al.
Published: (2026)
by: Ganesh, Swetha, et al.
Published: (2026)
SoK: Data Minimization in Machine Learning
by: Staab, Robin, et al.
Published: (2025)
by: Staab, Robin, et al.
Published: (2025)
Similar Items
-
Modeling Information Blackouts in Missing Not-At-Random Time Series Data
by: Sunesh, Aman, et al.
Published: (2026) -
Motor Vehicle Accident Severity Prediction Via Machine Learning
by: Chandolu, Abhinav
Published: (2025) -
Machine Learning Hamiltonian Dynamical Systems with Sparse and Noisy Data
by: Thapar, Vedanta, et al.
Published: (2026) -
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF: A Reproducibility Study
by: Ganesh, Anirudh, et al.
Published: (2025) -
BLAZE: Cross-Language and Cross-Project Bug Localization via Dynamic Chunking and Hard Example Learning
by: Chakraborty, Partha, et al.
Published: (2024)