Imagen de Portada

Attention-stacked Generative Adversarial Network (AS-GAN)-empowered Sensor Data Augmentation for Online Monitoring of Manufacturing System

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Yuxuan, Liu, Chenang
Formato:	Preprint
Publicado:	2023
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Model-Informed Generative Adversarial Network (MI-GAN) for Learning Optimal Power Flow
por: Li, Yuxuan, et al.
Publicado: (2022)

ADs: Active Data-sharing for Data Quality Assurance in Advanced Manufacturing Systems
por: Zhao, Yue, et al.
Publicado: (2024)

Pseudo Replay-based Class Continual Learning for Online New Category Anomaly Detection in Advanced Manufacturing
por: Li, Yuxuan, et al.
Publicado: (2023)

An Unsupervised Time Series Anomaly Detection Approach for Efficient Online Process Monitoring of Additive Manufacturing
por: Cantu, Frida, et al.
Publicado: (2025)

ToxiGAN: Toxic Data Augmentation via LLM-Guided Directional Adversarial Generation
por: Li, Peiran, et al.
Publicado: (2026)

zGAN: An Outlier-focused Generative Adversarial Network For Realistic Synthetic Data Generation
por: Azimi, Azizjon, et al.
Publicado: (2024)

Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges
por: Saimon, Amirul Islam, et al.
Publicado: (2024)

MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators
por: Choi, Jinyoung, et al.
Publicado: (2021)

DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning
por: Hu, Xuemin, et al.
Publicado: (2024)

Towards Mitigation of Hallucination for LLM-empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor
por: Liu, Siyuan, et al.
Publicado: (2025)

CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
por: Zhao, Jiangwei, et al.
Publicado: (2021)

ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation
por: EskandariNasab, MohammadReza, et al.
Publicado: (2024)

Risk Management with Feature-Enriched Generative Adversarial Networks (FE-GAN)
por: Chen, Ling
Publicado: (2024)

PhotoGAN: Generative Adversarial Neural Network Acceleration with Silicon Photonics
por: Suresh, Tharini, et al.
Publicado: (2025)

MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data
por: Ling, Yaobin, et al.
Publicado: (2024)

Adversarial Robustness of NTK Neural Networks
por: Hou, Yuxuan
Publicado: (2026)

DSF-GAN: DownStream Feedback Generative Adversarial Network
por: Perets, Oriel, et al.
Publicado: (2024)

Unsupervised Multimodal Fusion of In-process Sensor Data for Advanced Manufacturing Process Monitoring
por: McKinney, Matthew, et al.
Publicado: (2024)

PrAda-GAN: A Private Adaptive Generative Adversarial Network with Bayes Network Structure
por: Jia, Ke, et al.
Publicado: (2025)

AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
por: Fu, Yonggan, et al.
Publicado: (2020)

Synthesis of pulses from particle detectors with a Generative Adversarial Network (GAN)
por: Regadío, Alberto, et al.
Publicado: (2024)

Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks
por: Ramachandranpillai, Resmi, et al.
Publicado: (2024)

MGMD-GAN: Generalization Improvement of Generative Adversarial Networks with Multiple Generator Multiple Discriminator Framework Against Membership Inference Attacks
por: Arefin, Nirob
Publicado: (2024)

Auxiliary Discrminator Sequence Generative Adversarial Networks (ADSeqGAN) for Few Sample Molecule Generation
por: Tang, Haocheng, et al.
Publicado: (2025)

IGADA-IoT: IoT Sensor Energy Optimization in Wireless Sensor Networks Driven by Automatic Data Augmentation
por: Sun, Mingchun, et al.
Publicado: (2026)

CFTS-GAN: Continual Few-Shot Teacher Student for Generative Adversarial Networks
por: Ali, Munsif, et al.
Publicado: (2024)

Implementing Quantum Generative Adversarial Network (qGAN) and QCBM in Finance
por: Ganguly, Santanu
Publicado: (2023)

SSI-GAN: Semi-Supervised Swin-Inspired Generative Adversarial Networks for Neuronal Spike Classification
por: Sharifrazi, Danial, et al.
Publicado: (2026)

BRSR-OpGAN: Blind Radar Signal Restoration using Operational Generative Adversarial Network
por: Zahid, Muhammad Uzair, et al.
Publicado: (2024)

Data-Driven Adversarial Online Control for Unknown Linear Systems
por: Liu, Zishun, et al.
Publicado: (2023)

Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction
por: Shang, Suiyan, et al.
Publicado: (2025)

RainScaleGAN: a Conditional Generative Adversarial Network for Rainfall Downscaling
por: Iotti, Marcello, et al.
Publicado: (2025)

Enhancing Activity Recognition After Stroke: Generative Adversarial Networks for Kinematic Data Augmentation
por: Hadley, Aaron J., et al.
Publicado: (2024)

SFC-GAN: A Generative Adversarial Network for Brain Functional and Structural Connectome Translation
por: Tan, Yee-Fan, et al.
Publicado: (2025)

Adversarial Label Invariant Graph Data Augmentations for Out-of-Distribution Generalization
por: Zhang, Simon, et al.
Publicado: (2026)

EVA-GAN: Enhanced Various Audio Generation via Scalable Generative Adversarial Networks
por: Liao, Shijia, et al.
Publicado: (2024)

Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation
por: Liu, Haoyang, et al.
Publicado: (2023)

AROID: Improving Adversarial Robustness Through Online Instance-Wise Data Augmentation
por: Li, Lin, et al.
Publicado: (2023)

SeriesGAN: Time Series Generation via Adversarial and Autoregressive Learning
por: EskandariNasab, MohammadReza, et al.
Publicado: (2024)

From MIM-Based GAN to Anomaly Detection:Event Probability Influence on Generative Adversarial Networks
por: She, Rui, et al.
Publicado: (2022)