PAF-Net: Phase-Aligned Frequency Decoupling Network for Multi-Process Manufacturing Quality Prediction
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Luo, Yang, Luan, Haoyang, Pan, Haoyun, Jia, Yongquan, Gao, Xiaofeng, Chen, Guihai |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Temporal Interest Network for User Response Prediction
par: Zhou, Haolin, et autres
Publié: (2023)
par: Zhou, Haolin, et autres
Publié: (2023)
Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-Making
par: Luo, Yang, et autres
Publié: (2024)
par: Luo, Yang, et autres
Publié: (2024)
Symmetry-Preserving Architecture for Multi-NUMA Environments (SPANE): A Deep Reinforcement Learning Approach for Dynamic VM Scheduling
par: Chan, Tin Ping, et autres
Publié: (2025)
par: Chan, Tin Ping, et autres
Publié: (2025)
Delta: A Cloud-assisted Data Enrichment Framework for On-Device Continual Learning
par: Gong, Chen, et autres
Publié: (2024)
par: Gong, Chen, et autres
Publié: (2024)
CC-OR-Net: A Unified Framework for LTV Prediction through Structural Decoupling
par: Zhao, Mingyu, et autres
Publié: (2026)
par: Zhao, Mingyu, et autres
Publié: (2026)
Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-based Input-Output Decoupled Network
par: Pan, Zhuofu, et autres
Publié: (2024)
par: Pan, Zhuofu, et autres
Publié: (2024)
Negative Ontology of True Target for Machine Learning: Towards Evaluation and Learning under Democratic Supervision
par: Yang, Yongquan
Publié: (2026)
par: Yang, Yongquan
Publié: (2026)
DeFusion: An Effective Decoupling Fusion Network for Multi-Modal Pregnancy Prediction
par: Ouyang, Xueqiang, et autres
Publié: (2025)
par: Ouyang, Xueqiang, et autres
Publié: (2025)
LAF-Based Evaluation and UTTL-Based Learning Strategies with MIATTs
par: Yang, Yongquan
Publié: (2026)
par: Yang, Yongquan
Publié: (2026)
Reinfier and Reintrainer: Verification and Interpretation-Driven Safe Deep Reinforcement Learning Frameworks
par: Yang, Zixuan, et autres
Publié: (2024)
par: Yang, Zixuan, et autres
Publié: (2024)
Generative Model Predictive Control in Manufacturing Processes: A Review
par: Lee, Suk Ki, et autres
Publié: (2025)
par: Lee, Suk Ki, et autres
Publié: (2025)
STAIR: Addressing Stage Misalignment through Temporal-Aligned Preference Reinforcement Learning
par: Luan, Yao, et autres
Publié: (2025)
par: Luan, Yao, et autres
Publié: (2025)
ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting
par: Ye, Hengyu, et autres
Publié: (2024)
par: Ye, Hengyu, et autres
Publié: (2024)
AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction
par: Hettige, Kethmi Hirushini, et autres
Publié: (2024)
par: Hettige, Kethmi Hirushini, et autres
Publié: (2024)
Analysis of Anonymous User Interaction Relationships and Prediction of Advertising Feedback Based on Graph Neural Network
par: Dai, Yanjun, et autres
Publié: (2025)
par: Dai, Yanjun, et autres
Publié: (2025)
RaX-Crash: A Resource Efficient and Explainable Small Model Pipeline with an Application to City Scale Injury Severity Prediction
par: Zhu, Di, et autres
Publié: (2025)
par: Zhu, Di, et autres
Publié: (2025)
Air Quality Prediction with A Meteorology-Guided Modality-Decoupled Spatio-Temporal Network
par: Yin, Hang, et autres
Publié: (2025)
par: Yin, Hang, et autres
Publié: (2025)
Utilising Explainable Techniques for Quality Prediction in a Complex Textiles Manufacturing Use Case
par: Forsberg, Briony, et autres
Publié: (2024)
par: Forsberg, Briony, et autres
Publié: (2024)
DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature Reuse
par: Pei, Yan, et autres
Publié: (2023)
par: Pei, Yan, et autres
Publié: (2023)
Moderately Supervised Learning: Definition, Framework and Generality
par: Yang, Yongquan
Publié: (2020)
par: Yang, Yongquan
Publié: (2020)
FMC-DETR: Frequency-Decoupled Multi-Domain Coordination for Aerial-View Object Detection
par: Liang, Ben, et autres
Publié: (2025)
par: Liang, Ben, et autres
Publié: (2025)
Physics-Informed Neural Network for Concrete Manufacturing Process Optimization
par: Varghese, Sam, et autres
Publié: (2024)
par: Varghese, Sam, et autres
Publié: (2024)
PhaseNet++: Phase-Aware Frequency-Domain Anomaly Detection for Industrial Control Systems via Phase Coherence Graphs
par: Bommireddy, Raviteja, et autres
Publié: (2026)
par: Bommireddy, Raviteja, et autres
Publié: (2026)
Segment-Aligned Policy Optimization for Multi-Modal Reasoning
par: Gao, Lei, et autres
Publié: (2026)
par: Gao, Lei, et autres
Publié: (2026)
Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services
par: Chen, Jiadong, et autres
Publié: (2025)
par: Chen, Jiadong, et autres
Publié: (2025)
Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model
par: Chen, Zeping, et autres
Publié: (2025)
par: Chen, Zeping, et autres
Publié: (2025)
MMFNet: Multi-Scale Frequency Masking Neural Network for Multivariate Time Series Forecasting
par: Ma, Aitian, et autres
Publié: (2024)
par: Ma, Aitian, et autres
Publié: (2024)
Preference-based Multi-Objective Reinforcement Learning
par: Mu, Ni, et autres
Publié: (2025)
par: Mu, Ni, et autres
Publié: (2025)
Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems
par: Li, Shaohan, et autres
Publié: (2025)
par: Li, Shaohan, et autres
Publié: (2025)
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling
par: Dong, Jinzong, et autres
Publié: (2024)
par: Dong, Jinzong, et autres
Publié: (2024)
APEX: Amplitude Anchors and Phase Priors for Target-Scarce Higher-Frequency Wave Prediction
par: Sun, Yifan, et autres
Publié: (2026)
par: Sun, Yifan, et autres
Publié: (2026)
SFADNet: Spatio-temporal Fused Graph based on Attention Decoupling Network for Traffic Prediction
par: Wu, Mei, et autres
Publié: (2025)
par: Wu, Mei, et autres
Publié: (2025)
Decoupling Search and Learning in Neural Net Training
par: Vegesna, Akshay, et autres
Publié: (2025)
par: Vegesna, Akshay, et autres
Publié: (2025)
Decoupling Amplitude and Phase Attention in Frequency Domain for RGB-Event based Visual Object Tracking
par: Wang, Shiao, et autres
Publié: (2026)
par: Wang, Shiao, et autres
Publié: (2026)
Robust and Reliable AI for Predictive Quality in Semiconductor Materials Manufacturing with MLOps and Uncertainty Quantification
par: Gao, Min, et autres
Publié: (2026)
par: Gao, Min, et autres
Publié: (2026)
InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes under Herd Behavior
par: Wang, Huisheng, et autres
Publié: (2025)
par: Wang, Huisheng, et autres
Publié: (2025)
MechProNet: Machine Learning Prediction of Mechanical Properties in Metal Additive Manufacturing
par: Akbari, Parand, et autres
Publié: (2022)
par: Akbari, Parand, et autres
Publié: (2022)
Manufacturing Service Capability Prediction with Graph Neural Networks
par: Li, Yunqing, et autres
Publié: (2024)
par: Li, Yunqing, et autres
Publié: (2024)
Disentangling History and Propagation Dependencies in Cross-Subject Knee Contact Stress Prediction Using a Shared MeshGraphNet Backbone
par: Pan, Zhengye, et autres
Publié: (2026)
par: Pan, Zhengye, et autres
Publié: (2026)
The Phase Is the Gradient: Equilibrium Propagation for Frequency Learning in Kuramoto Networks
par: Ahmadi, Mani Rash
Publié: (2026)
par: Ahmadi, Mani Rash
Publié: (2026)
Documents similaires
-
Temporal Interest Network for User Response Prediction
par: Zhou, Haolin, et autres
Publié: (2023) -
Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-Making
par: Luo, Yang, et autres
Publié: (2024) -
Symmetry-Preserving Architecture for Multi-NUMA Environments (SPANE): A Deep Reinforcement Learning Approach for Dynamic VM Scheduling
par: Chan, Tin Ping, et autres
Publié: (2025) -
Delta: A Cloud-assisted Data Enrichment Framework for On-Device Continual Learning
par: Gong, Chen, et autres
Publié: (2024) -
CC-OR-Net: A Unified Framework for LTV Prediction through Structural Decoupling
par: Zhao, Mingyu, et autres
Publié: (2026)