scroll to top
0

EBSCO Auth Banner

Let's find your institution. Click here.

Advanced Search Results For "DATA augmentation"

1 - 10 of 5,077 results for
 "DATA augmentation"
Results per page:

Conditional TransGAN-Based Data Augmentation for PCB Electronic Component Inspection.

Publication Type: Academic Journal

Source(s): Computational Intelligence & Neuroscience. 1/10/2023, Vol. 2023, p1-12. 12p.

Abstract: Automatic recognition and positioning of electronic components on PCBs can enhance quality inspection efficiency for electronic products during manufacturing. Efficient PCB inspection requires identification and classification of PCB components as well...

View details

GAN Data Augmentation for Improved Automated Atherosclerosis Screening from Coronary CT Angiography.

Publication Type: Academic Journal

Source(s): EAI Endorsed Transactions on Scalable Information Systems. 2023, Vol. 10 Issue 1, p1-8. 8p.

Abstract: INTRODUCTION: Atherosclerosis is a chronic medical condition that can result in coronary artery disease, strokes, or even heart attacks. early detection can result in timely interventions and save lives. OBJECTIVES: In this work, a fully automatic tran...

View details

Enhancing the Power of CNN Using Data Augmentation Techniques for Odia Handwritten Character Recognition.

Publication Type: Academic Journal

Source(s): Advances in Multimedia. 12/22/2022, p1-13. 13p.

Abstract: The performance of any machine learning model largely depends on the type of input data provided. The higher the volume and variety of the data, the better the machine learning models get trained, thereby producing more accurate results. However, it is...

View details

Effects of Data Augmentation with the BNNSMOTE Algorithm in Seizure Detection Using 1D-MobileNet.

Publication Type: Academic Journal

Source(s): Journal of Healthcare Engineering. 12/19/2022, Vol. 2022, p1-13. 13p.

Abstract: Automatic seizure detection technology has important implications for reducing the workload of neurologists for epilepsy diagnosis and treatment. Due to the unpredictable nature of seizures, the imbalanced classification of seizure and nonseizure data ...

View details

Data Augmentation and Random Multi-Model Deep Learning for Data Classification.

Publication Type: Academic Journal

Source(s): Computers, Materials & Continua. 2023, Vol. 74 Issue 3, p5191-5207. 17p.

Abstract: In the machine learning (ML) paradigm, data augmentation serves as a regularization approach for creating ML models. The increase in the diversification of training samples increases the generalization capabilities, which enhances the prediction perfor...

View details

DA-ActNN-YOLOV5: Hybrid YOLO v5 Model with Data Augmentation and Activation of Compression Mechanism for Potato Disease Identification.

Publication Type: Academic Journal

Source(s): Computational Intelligence & Neuroscience. 9/23/2022, Vol. 2022, p1-16. 16p.

Abstract: To solve the problems of weak generalization of potato early and late blight recognition models in real complex scenarios, susceptibility to interference from crop varieties, colour characteristics, leaf spot shapes, disease cycles and environmental fa...

View details

TBR-NER: Research on COVID-19 Text Information Extraction Based on Joint Learning of Topic Recognition and Named Entity Recognition.

Publication Type: Academic Journal

Source(s): Journal of Sensors. 8/4/2022, p1-15. 15p.

Abstract: There is a centralization of the core content in the text information of the new crown epidemic notification. This paper proposes a joint learning text information extraction method: TBR-NER (topic-based recognition named entity recognition) based on t...

View details

An Artificial Intelligence-Based Bio-Medical Stroke Prediction and Analytical System Using a Machine Learning Approach.

Publication Type: Academic Journal

Source(s): Computational Intelligence & Neuroscience. 10/12/2022, p1-9. 9p.

Abstract: Stroke-related disabilities can have a major negative effect on the economic well-being of the person. When left untreated, a stroke can be fatal. According to the findings of this study, people who have had strokes generally have abnormal biosignals. ...

View details

Meta-heuristics for Feature Selection and Classification in Diagnostic Breast Cancer.

Publication Type: Academic Journal

Source(s): Computers, Materials & Continua. 2022, Vol. 73 Issue 1, p749-765. 17p.

Abstract: One of the most common kinds of cancer is breast cancer. The early detection of it may help lower its overall rates of mortality. In this paper, we robustly propose a novel approach for detecting and classifying breast cancer regions in thermal images....

View details

Diabetes Mellitus Disease Prediction Using Machine Learning Classifiers with Oversampling and Feature Augmentation.

Publication Type: Academic Journal

Source(s): Advances in Human-Computer Interaction. 9/19/2022, p1-14. 14p.

Abstract: The technical improvements in healthcare sector today have given rise to many new inventions in the field of artificial intelligence. Patterns for disease identification are carried out, and the onset of prediction of many diseases is detected. Disease...

View details
sponsored