Search Results - "DATA augmentation"

面向海杂波的复值网络条件引导扩散模型数据增广.

Alternate Title: A Complex-valued Guided Diffusion Model Data Augmentation Algorithm for Radar Sea Clutter.

Authors: 梁泰宁 杨昊成 匡华星

Source: Telecommunication Engineering. 11/28/2025, Vol. 65 Issue 11, p1812-1819. 8p.

Subject Terms: *ARTIFICIAL neural networks, RADAR, DATA augmentation, CLUTTER (Radar), STATISTICAL measurement, ELECTROMAGNETIC fields

Time series fault prediction via dual enhancement.

Authors: Wang, Yi Xu, Wencong Wang, Chaofei et al.

Source: Journal of Intelligent Manufacturing. Dec2025, Vol. 36 Issue 8, p5247-5262. 16p.

Subject Terms: *TIME series analysis, *INDUSTRIAL robots, *TRANSFORMER models, *FAILURE analysis, DATA augmentation, MACHINE learning

Label Scarcity– and Class Imbalance–Aware Current-Based Pipeline for Concrete Vibration Activity Recognition.

Authors: Yang, Shuai Guan, Tao Wang, Jiajun et al.

Source: Journal of Construction Engineering & Management. Oct2025, Vol. 151 Issue 10, p1-16. 16p.

Subject Terms: DATA augmentation, GENERATIVE adversarial networks, MACHINE learning, CONCRETE analysis, HUMAN activity recognition, ELECTRIC current measurement

Conditional Data Synthesis Augmentation*.

Authors: Tian, Xinyu Shen, Xiaotong

Source: Journal of the American Statistical Association. Nov2025, p1-22. 22p. 5 Illustrations.

Subject Terms: *STATISTICS, DATA augmentation, PROBABILISTIC generative models, STATISTICAL bias, KNOWLEDGE transfer, MACHINE learning

Leveraging classifier-guidance diffusion model for improved surface roughness prediction through synthesized audible sound signal

Authors: Zhu, Yaoxuan Rashid, Amir Österlind, Tomas et al.

Source: Procedia CIRP. 134:789-794

Subject Terms: Guided diffusion model, Audible sound signal, Data augmentation, Surface roughness prediction, Deep transfer learning, Machining, Production Engineering, Industriell produktion

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-368478
https://kth.diva-portal.org/smash/get/diva2:1989412/FULLTEXT01.pdf

Enhancing property prediction in building materials through data-augmented neural networks

Authors: Souza Rosa, Ana Carolina

Contributors: University/Department: Universitat Rovira i Virgili. Departament d'Enginyeria Mecànica

Thesis Advisors: Dieter-Thomas, Boer, Haddad, Assed Naked

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Materials de construcció, Aprenentatge automàtic, Augment de dades, Materiales de construcción, aprendizaje automático, Aumento de datos, Building materials, Machine learning, Data Augmentation, Enginyeria i arquitectura

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/692333

Generative models for data augmentation in low-resource scenarios.

Authors: Kumar, Raman Kaur, Jatinder Badhoutiya, Arti et al.

Source: AIP Conference Proceedings. 10/31/2025, Vol. 3343 Issue 1, p1-7. 7p.

Subject Terms: *GENERATIVE adversarial networks, *DATA augmentation, *PROBABILISTIC generative models, *LATENT variables, *MACHINE learning, *METADATA

Breednet: A comprehensive analysis of dog breed classification using deep learning models.

Authors: Pratham Prateek Dhiman, Richa et al.

Source: AIP Conference Proceedings. 10/31/2025, Vol. 3343 Issue 1, p1-5. 5p.

Subject Terms: *DEEP learning, *DATA augmentation, *TRANSFER of training, *DOG breeds

Augmentation-driven convolutional neural networks for brain tumor classification.

Authors: Vashisth, Surya Puri, Arundhati Sharma, Sejal et al.

Source: AIP Conference Proceedings. 10/31/2025, Vol. 3343 Issue 1, p1-7. 7p.

Subject Terms: *CONVOLUTIONAL neural networks, *DATA augmentation, *MENINGIOMA, *MAGNETIC resonance imaging, *GLIOMAS, *PITUITARY tumors, *CANCER diagnosis

Improved wafer map defect pattern classification using automatic data augmentation based lightweight encoder network in contrastive learning.

Authors: Sheng, Yi Yan, Jinda Piao, Minghao

Source: Journal of Intelligent Manufacturing. Aug2025, Vol. 36 Issue 6, p4129-4141. 13p.

Subject Terms: *ARTIFICIAL intelligence, PATTERN recognition systems, DATA augmentation, IMAGE processing, AUTOMATIC classification

Exploring data augmentation techniques for advancing emotion recognition in text - An ANOVA-RFE fusion approach with emotion fusion ensemble.

Authors: Varghese Babu, Nirmal Grace Mary Kanaga, E.

Source: Intelligent Data Analysis. Sep2025, Vol. 29 Issue 5, p1219-1247. 29p.

Subject Terms: EMOTION recognition, DATA augmentation, FEATURE extraction, LANGUAGE models, FEATURE selection, TEXT mining, ENSEMBLE learning

Augmentation invariant manifold learning.

Authors: Wang, Shulei¹ (AUTHOR)

Source: Journal of the Royal Statistical Society: Series B (Statistical Methodology). Sep2025, Vol. 87 Issue 4, p978-1000. 23p.

Subject Terms: *MATHEMATICAL models, DATA augmentation, K-nearest neighbor classification, STOCHASTIC programming, FEATURE extraction, DIMENSIONAL reduction algorithms, TOPOLOGY

A novel data augmentation method for fault diagnosis in spindle assembly based on key-variable selection with AdaBoost-Kriging model.

Authors: Ding, Siyi Meng, Yan Wang, Sen et al.

Source: International Journal of Computer Integrated Manufacturing. Sep2025, p1-16. 16p. 8 Illustrations.

Subject Terms: *INDUSTRY 4.0, DATA augmentation, FAULT diagnosis, FEATURE selection, MANUFACTURING process management, KRIGING

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs.

Authors: Mo, Zhaobin Xiang, Haotian Di, Xuan

Source: Transportation Science. Jul/Aug2025, Vol. 59 Issue 4, p782-801. 20p.

Subject Terms: DATA augmentation, MACHINE learning, GENERALIZATION, CAUSAL models, PREDICTION models

Enhancing ID-based Recommendation with Large Language Models.

Authors: Chen, Lei Gao, Chen Du, Xiaoyi et al.

Source: ACM Transactions on Information Systems. Sep2025, Vol. 43 Issue 5, p1-30. 30p.

Subject Terms: *RECOMMENDER systems, LANGUAGE models, DATA augmentation, CAPABILITIES approach (Social sciences)

HORAE: Temporal Multi-Interest Pre-training for Sequential Recommendation.

Authors: Hu, Shirui Wu, Weichang Tang, Zuoli et al.

Source: ACM Transactions on Information Systems. Jul2025, Vol. 43 Issue 4, p1-29. 29p.

Subject Terms: *RECOMMENDER systems, DATA augmentation, INFORMATION modeling, DATA modeling, MIRACLES

Utilization of Data Augmentation Techniques in Automated Inspection Systems for Defect Detection in Metals With Limited Data.

Authors: Mohammadzadeh, Mohammad Günay, Elif Elçin Jackman, John et al.

Source: Journal of Advanced Manufacturing & Processing. Jul2025, Vol. 7 Issue 3, p1-8. 8p.

Subject Terms: *QUALITY control, DATA augmentation, DEEP learning, METALS, OBJECT recognition (Computer vision), IMAGE databases

Improved Faster R-CNN Based on Multi-Scale Module for Detecting Weak Ground Targets in Remote Sensing Images.

Authors: He, Yinggang¹ (AUTHOR) heyinggang@jmu.edu.cn

Source: International Journal of High Speed Electronics & Systems. Sep2025, Vol. 34 Issue 3, p1-19. 19p.

Subject Terms: REMOTE sensing, DATA augmentation, FEATURE extraction, ROTATIONAL motion, CLASSIFICATION

Parameter-expanded data augmentation for analyzing multinomial probit models.

Authors: Zhang, Xiao¹ (AUTHOR) xzhang35@mtu.edu

Source: Communications in Statistics: Theory & Methods. Sep2025, p1-14. 14p. 3 Illustrations.

Subject Terms: *SIMULATION methods & models, *DISCRETE choice models, *CONSUMER behavior, DATA augmentation, GIBBS sampling, MAXIMUM likelihood statistics, COVARIANCE matrices

Semisupervised Lithography Hotspot Detection Model Based on Dual-Branch Auxiliary Classification.

Authors: Xu, Hui Huang, Wenxin Xiao, Xinzhong et al.

Source: IEEE Transactions on Semiconductor Manufacturing. Aug2025, Vol. 38 Issue 3, p522-532. 11p.

Subject Terms: PHOTOLITHOGRAPHY, DATA augmentation, STATISTICAL models, CLASSIFICATION, MACHINE learning, SENSITIVITY analysis