Results 101 to 110 of about 247,960 (211)

Improving Recognition of Defective Epoxy Images in Integrated Circuit Manufacturing by Data Augmentation

Sensors
This paper discusses the problem of recognizing defective epoxy drop images for the purpose of performing vision-based die attachment inspection in integrated circuit (IC) manufacturing based on deep neural networks.
Lamia Alam, Nasser Kehtarnavaz
doaj   +1 more source

Variational Autoencoder to Obtain High Resolution Wind Fields from Reanalysis Data

Wind
Accurate wind flow prediction is essential for various applications, including the placement of wind turbines and a multitude of environmental assessments.
Bernhard Rösch, Konstantin Zacharias, Luca Fabian Schlaug, Daniel Westerfeld, Stefan Geißelsöder, Alexander Buchele   +5 more
doaj   +1 more source

A hybrid Fuzzy-Autoencoder based approach for resilient zero-day malware detection under adversarial conditions

Discover Artificial Intelligence
Amid the growing use of artificial intelligence (AI) and machine learning, the risk of adversarial zero-day malware attacks has increased and thus, enhancements to intelligent detection systems are necessary.
Shivangi Mehta, Lata Gadhavi, Mohendra Roy, Aishwarya Mishra   +3 more
doaj   +1 more source

AE-MCDM: an autoencoder-based multi-criteria decision-making approach for unsupervised feature selection

The Journal of Supercomputing
Feature selection is a fundamental technique for reducing the dimensionality of high-dimensional data by identifying the most relevant features while discarding redundant or irrelevant ones. In unsupervised settings, where labeled data are unavailable and labeling is costly, effective feature selection becomes even more challenging. This paper proposes
Hashemi, Amin, Dowlatshahi, Mohammad Bagher, Farshidi, Siamak, Moradi, Parham   +3 more
openaire   +1 more source

Model Validation for Multivariate Functional Responses via Autoencoder-Based Dual-Layer Feature Extraction

Mathematics
Model validation for complex simulation models with multivariate functional responses poses significant challenges, as it involves the dual coupling of physical correlations among variables and field correlations in time-series data.
Dengyu Wu, Xiaodong Zhang, Daobo Sun, Haidong Lin, Jinhui Li, Baoqiang Zhang   +5 more
doaj   +1 more source

BIRCH-AE: A Hierarchical Ensemble Framework for Scalable E-Commerce User Segmentation with Autoencoder-Enhanced Feature Learning

The rapid expansion of e-commerce platforms has intensified demand for scalable, high-quality user segmentation systems capable of efficiently processing millions of behavioral records.
Ibrahim, Hamidah, Li, Caili, Li, Caiwen, Sidi, Fatimah, Ishak, Iskandar, Zolkepli, Maslina   +5 more
core   +1 more source

Data Augmentation for Text Classification Using Autoencoders

IEEE Access
Deep learning models have greatly improved various natural language processing tasks. However, their effectiveness depends on large data sets, which can be difficult to acquire.
Mustafa Cataltas, Ilyas Cicekli, Nurdan Akhan Baykan   +2 more
doaj   +1 more source

Leveraging autoencoder models and data augmentation to uncover transcriptomic diversity of gingival keratinocytes in single cell analysis

Scientific Reports
Periodontitis, a chronic inflammatory condition of the periodontium, is associated with over 60 systemic diseases. Despite advancements, precision medicine approaches have had limited success, emphasizing the need for deeper insights into cellular ...
Pradeep Kumar Yadalam, Prabhu Manickam Natarajan, Carlos M. Ardila   +2 more
doaj   +1 more source

FM-AE: Frequency-masked Multimodal Autoencoder for Zinc Electrolysis Plate Contact Abnormality Detection

CoRR
2023 The 34th Chinese Process Control Conference (CPCC 2023)
Canzong Zhou, Can Zhou 0005, Hongqiu Zhu, Tianhao Liu   +3 more
openaire   +3 more sources

Out-of-roundness damage wheel idenficaon in railway vehicles using autoencoder models

The present study investigates the use of unsupervised Machine Learning (ML) techniques applied to the Structural Health Monitoring (SHM) of railway wheels with different stages of polygonalization in the running band.
Melo, Renato da Silva
core