NASPrecision: Neural Architecture Search-Driven Multi-Stage Learning for Surface Roughness Prediction in Ultra-Precision Machining
Fuente:
arXiv
Saved in:
| Main Authors: | Ruan, Penghui, Saxena, Divya, Cao, Jiannong, Liu, Xiaoyun, Wang, Ruoxin, Cheung, Chi Fai |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MGAS: Multi-Granularity Architecture Search for Trade-Off Between Model Effectiveness and Efficiency
by: Liu, Xiaoyun, et al.
Published: (2023)
by: Liu, Xiaoyun, et al.
Published: (2023)
Inductive Spatial Temporal Prediction Under Data Drift with Informative Graph Neural Network
by: Zheng, Jialun, et al.
Published: (2024)
by: Zheng, Jialun, et al.
Published: (2024)
GPrune-LLM: Generalization-Aware Structured Pruning for Large Language Models
by: Liu, Xiaoyun, et al.
Published: (2026)
by: Liu, Xiaoyun, et al.
Published: (2026)
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction
by: Shang, Suiyan, et al.
Published: (2025)
by: Shang, Suiyan, et al.
Published: (2025)
Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning
by: Ruan, Penghui, et al.
Published: (2024)
by: Ruan, Penghui, et al.
Published: (2024)
Lattice-Boltzmann-Driven Physics-Informed Neural Networks for Droplet Wettability on Rough Surfaces
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)
Neuroevolution Neural Architecture Search for Evolving RNNs in Stock Return Prediction and Portfolio Trading
by: Lyu, Zimeng, et al.
Published: (2024)
by: Lyu, Zimeng, et al.
Published: (2024)
Geometry-Consistent 4D Gaussian Splatting for Sparse-Input Dynamic View Synthesis
by: Li, Yiwei, et al.
Published: (2025)
by: Li, Yiwei, et al.
Published: (2025)
Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems
by: Sahin, Tarik, et al.
Published: (2025)
by: Sahin, Tarik, et al.
Published: (2025)
Forecasting Volatility with Machine Learning and Rough Volatility: Example from the Crypto-Winter
by: Tang, Siu Hin, et al.
Published: (2023)
by: Tang, Siu Hin, et al.
Published: (2023)
Precision Glass Thermoforming Assisted by Neural Networks
by: Zhang, Yuzhou, et al.
Published: (2024)
by: Zhang, Yuzhou, et al.
Published: (2024)
Randomized Kolmogorov-Smirnov Analysis of Volatility Roughness
by: Bianchi, Sergio, et al.
Published: (2025)
by: Bianchi, Sergio, et al.
Published: (2025)
Amalgamation of Physics-Informed Neural Network and LBM for the Prediction of Unsteady Fluid Flows in Fractal-Rough Microchannels
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)
Deep Learning Option Pricing with Market Implied Volatility Surfaces
by: Ding, Lijie, et al.
Published: (2025)
by: Ding, Lijie, et al.
Published: (2025)
Rough Path Signatures: Learning Neural RDEs for Portfolio Optimization
by: Alzahrani, Ali Atiah
Published: (2025)
by: Alzahrani, Ali Atiah
Published: (2025)
Volatility models in practice: Rough, Path-dependent or Markovian?
by: Jaber, Eduardo Abi, et al.
Published: (2024)
by: Jaber, Eduardo Abi, et al.
Published: (2024)
Gamma Hedging and Rough Paths
by: Armstrong, John, et al.
Published: (2023)
by: Armstrong, John, et al.
Published: (2023)
AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential Datasets
by: Zhao, Yuqing, et al.
Published: (2022)
by: Zhao, Yuqing, et al.
Published: (2022)
Rough SABR Forward Market Model
by: Adachi, Reo, et al.
Published: (2025)
by: Adachi, Reo, et al.
Published: (2025)
To be or not to be: Roughness or long memory in volatility?
by: Bennedsen, Mikkel, et al.
Published: (2024)
by: Bennedsen, Mikkel, et al.
Published: (2024)
Rough PDEs for Local Stochastic Volatility Models
by: Peter Bank, et al.
Published: (2025)
by: Peter Bank, et al.
Published: (2025)
Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost
by: Zafeiriou, Theodoros, et al.
Published: (2024)
by: Zafeiriou, Theodoros, et al.
Published: (2024)
Rough volatility: evidence from range volatility estimators
by: Mouti, Saad
Published: (2023)
by: Mouti, Saad
Published: (2023)
Volatility Models in Practice: Rough, Path‐Dependent, or Markovian?
by: Eduardo Abi Jaber, et al.
Published: (2025)
by: Eduardo Abi Jaber, et al.
Published: (2025)
Multiscaling in the Rough Bergomi Model: A Tale of Tails
by: Brandi, Giuseppe, et al.
Published: (2026)
by: Brandi, Giuseppe, et al.
Published: (2026)
Structure-Guided Memory Consolidation for Mitigating Compounding Errors in Literature Review Generation
by: Zhang, Zhi, et al.
Published: (2025)
by: Zhang, Zhi, et al.
Published: (2025)
Multifractality in Bitcoin Realised Volatility: Implications for Rough Volatility Modelling
by: Pontiggia, Milan
Published: (2025)
by: Pontiggia, Milan
Published: (2025)
Efficient Simulation and Calibration of the Rough Bergomi Model via Wasserstein Distance
by: Teng, Changqing, et al.
Published: (2025)
by: Teng, Changqing, et al.
Published: (2025)
Interpretable Machine Learning Models for Predicting the Next Targets of Activist Funds
by: Kim, Minwu, et al.
Published: (2024)
by: Kim, Minwu, et al.
Published: (2024)
Multi-Horizon Echo State Network Prediction of Intraday Stock Returns
by: Ballarin, Giovanni, et al.
Published: (2025)
by: Ballarin, Giovanni, et al.
Published: (2025)
Beyond Black-Scholes: A Computational Framework for Option Pricing Using Heston, GARCH, and Jump Diffusion Models
by: Sidhu, Karmanpartap Singh, et al.
Published: (2026)
by: Sidhu, Karmanpartap Singh, et al.
Published: (2026)
Mixture of Knowledge Minigraph Agents for Literature Review Generation
by: Zhang, Zhi, et al.
Published: (2024)
by: Zhang, Zhi, et al.
Published: (2024)
Rough Path Approaches to Stochastic Control, Filtering, and Stopping
by: Mavroforas, Jonathan A., et al.
Published: (2025)
by: Mavroforas, Jonathan A., et al.
Published: (2025)
BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights
by: Zhu, Enmin, et al.
Published: (2024)
by: Zhu, Enmin, et al.
Published: (2024)
Ultra-short-term volatility surfaces
by: Bandi, Federico M., et al.
Published: (2026)
by: Bandi, Federico M., et al.
Published: (2026)
Data-Efficient Model for Psychological Resilience Prediction based on Neurological Data
by: Zhang, Zhi, et al.
Published: (2025)
by: Zhang, Zhi, et al.
Published: (2025)
FedSight AI: Multi-Agent System Architecture for Federal Funds Target Rate Prediction
by: Hou, Yuhan, et al.
Published: (2025)
by: Hou, Yuhan, et al.
Published: (2025)
Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through Machine Learning
by: Shi, Xinyu, et al.
Published: (2024)
by: Shi, Xinyu, et al.
Published: (2024)
Promise of Data-Driven Modeling and Decision Support for Precision Oncology and Theranostics
by: Sadanandan, Binesh, et al.
Published: (2025)
by: Sadanandan, Binesh, et al.
Published: (2025)
Machine Learning Methods for Pricing Financial Derivatives
by: Fan, Lei, et al.
Published: (2024)
by: Fan, Lei, et al.
Published: (2024)
Similar Items
-
MGAS: Multi-Granularity Architecture Search for Trade-Off Between Model Effectiveness and Efficiency
by: Liu, Xiaoyun, et al.
Published: (2023) -
Inductive Spatial Temporal Prediction Under Data Drift with Informative Graph Neural Network
by: Zheng, Jialun, et al.
Published: (2024) -
GPrune-LLM: Generalization-Aware Structured Pruning for Large Language Models
by: Liu, Xiaoyun, et al.
Published: (2026) -
Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction
by: Shang, Suiyan, et al.
Published: (2025) -
Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning
by: Ruan, Penghui, et al.
Published: (2024)