NSTL国家科技图书文献中心

1. Improvements in the Imbalanced Hemogram Data Classification NSTL国家科技图书文献中心

Phuoc-Hai Huynh | Ngoc-Minh Nguyen ... - 《Proceeding of the 4th International Conference on Electronics, Biomedical Engineering, and Health Informatics》 - International Conference on Electronics, Biomedical Engineering, and Health Informatics - 2024, - 347～359 - 共13页

摘要：The exponential growth of hospital information systems (HIS) has led to the accumulation of vast amounts of medical data, necessitating effective analysis methods to enhance the quality and efficiency...

关键词： Machine learning | Classification | Random forest | SMOTE | Hemogram blood test | Medical informatics

2. Budget-Aware Road Semantic Segmentation in Unseen Foggy Scenes NSTL国家科技图书文献中心

Tan-Hiep To | Thanh-Nghi Do ... - 《2023 RIVF International Conference on Computing and Communication Technologies: RIVF 2023, Hanoi, Vietnam, 23-25 December 2023》 - RIVF International Conference on Computing and Communication Technologies - 2023, - 171～176 - 共6页

摘要：In autonomous driving, the reliable and accurate identification of road-related objects plays a crucial role in ensuring safe and efficient navigation services. Unfortunately, traditional semantic seg...

关键词： Training | Adaptation models | Navigation | Semantic segmentation | Roads | Semantics | Reliability

3. Extractive Text Summarization on Large-scale Dataset Using K-Means Clustering NSTL国家科技图书文献中心

Ti-Hon Nguyen | Thanh-Nghi Do - 《Advances and Trends in Artificial Intelligence: Theory and Practices in Artificial Intelligence: 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022, Kitakyushu, Japan, July 19-22, 2022, Proceedings》 - International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems - 2022, - 737～746 - 共10页

摘要：Extractive text summarization is one of the most important tasks in natural language processing. In this work, we use K-Means clustering to create the clusters on the Vietnamese large-scale dataset, t...

关键词： Text summarization | K-Means | Clustering | Large-scale dataset

4. Multi-class Bagged Proximal Support Vector Machines for the ImageNet Challenging Problem NSTL国家科技图书文献中心

Thanh-Nghi Do - 《Future Data and Security Engineering: 8th International Conference, FDSE 2021, Virtual Event, November 24–26, 2021, Proceedings》 - International Conference on Future Data and Security Engineering - 2021, - 99～112 - 共14页

摘要：We propose the new multi-class of bagged proximal support vector machines (MC-Bag-PSVM) for handling the ImageNet challenging problem with very large number of images and a thousand classes. Our MC-Ba...

关键词： Large scale image classification | Support vector machines | Multi-class

NSTL主题词： Support Vector Network | multi-class

5. Fine-tuning Deep Network Models for Classifying Fingerprint Images NSTL国家科技图书文献中心

Thanh-Nghi Do | The-Phi Pham ... - 《The 2020 12th International Conference on Knowledge and Systems Engineering: 12th International Conference on Knowledge and Systems Engineering (KSE), 12-14 Nov. 2020, Can Tho city, Vietnam》 - International Conference on Knowledge and Systems Engineering - 2020, - 79～84 - 共6页

摘要：We propose to fine-tune pre-trained deep network models for efficiently classifying fingerprint images. Real datasets of fingerprint images are collected from students at the Can Tho University. We pr...

关键词： Support vector machines | Deep learning | Knowledge engineering | Image matching | Transforms | Fingerprint recognition | Modeling

NSTL主题词： Fingerprint images | network model | Information management | Creating metadata

6. Combining Support Vector Machines for Classifying Fingerprint Images NSTL国家科技图书文献中心

The-Phi Pham | Minh-Thu Tran-Nguyen ... - 《Future data and security engineering :》 - International Conference on Future Data and Security Engineering - 2020, - 399～410 - 共12页

摘要：We propose to combine support vector machine (SVM) models learned from different visual features for efficiently classifying fingerprint images. Real datasets of fingerprint images are collected from ...

关键词： Fingerprint image classification | Visual features | Combining classifiers

NSTL主题词： Support Vector Network | Fingerprint images | Information management | Creating metadata

7. Secure and Robust Watermarking Scheme in Frequency Domain Using Chaotic Logistic Map Encoding NSTL国家科技图书文献中心

Phuoc-Hung Vo | Thai-Son Nguyen ... - 《Advanced computational methods for knowledge engineering》 - International Conference on Computer Science, Applied Mathematics and Applications - 2020, - 346～357 - 共12页

摘要：The paper proposes a secure and robust stereo image watermarking scheme based on chaotic logistic map encoding and frequency transformations. The chaotic logistic map encoding is employed to confuse b...

关键词： Data hiding | Watermarking | DCT-SVD | Chaos | Logistic map

NSTL主题词： Secure | Logistic map | Watermarking | Frequency-domain analysis | Robustness | Scheme

8. Stacking of SVMs for Classifying Intangible Cultural Heritage Images NSTL国家科技图书文献中心

Thanh-Nghi Do | The-Phi Pham ... - 《Advanced computational methods for knowledge engineering》 - International Conference on Computer Science, Applied Mathematics and Applications - 2020, - 186～196 - 共11页

摘要：Our investigation aims at classifying images of the intangible cultural heritage (ICH) in the Mekong Delta, Vietnam. We collect an images dataset of 17 ICH categories and manually annotate them. The c...

关键词： Images of the intangible cultural heritage in the Mekong Delta | Image classification | Visual features | Support vector machines | Stacking

NSTL主题词： Stacking | Information management | Creating metadata | Support Vector Network | images

9. Real-time vehicle detection and counting based on YOLO and DeepSORT NSTL国家科技图书文献中心

Thanh-Nghi Doan | Minh-Tuyen Truong - 《The 2020 12th International Conference on Knowledge and Systems Engineering: 12th International Conference on Knowledge and Systems Engineering (KSE), 12-14 Nov. 2020, Can Tho city, Vietnam》 - International Conference on Knowledge and Systems Engineering - 2020, - 67～72 - 共6页

摘要：Intelligent vehicle detection and counting are becoming increasingly important in the field of highway and transport infrastructure management. Traditional methods based on image information have show...

关键词： Road transportation | Adaptation models | Computational modeling | Vehicle detection | Real-time systems | Object tracking | Object recognition

NSTL主题词： Vehicle detection

10. Parallel Learning Algorithms of Local Support Vector Regression for Dealing with Large Datasets NSTL国家科技图书文献中心

Thanh-Nghi Do | Le-Diem Bui - 《Transactions on Large-Scale Data- and Knowledge-Centered Systems XLI: Special Issue on Data and Security Engineering》 - International Conference on Future Data and Security Engineering - 2019, - 59～77 - 共19页

摘要：New parallel algorithms of local support vector regression (local SVR), called kSVR, krSVR are proposed in this paper to efficiently handle the prediction task for large datasets. The learning strateg...

摘要：The exponential growth of hospital information systems (HIS) has led to the accumulation of vast amounts of medical data, necessitating effective analysis methods to enhance the quality and efficiency...

关键词： Machine learning | Classification | Random forest | SMOTE | Hemogram blood test | Medical informatics

摘要：In autonomous driving, the reliable and accurate identification of road-related objects plays a crucial role in ensuring safe and efficient navigation services. Unfortunately, traditional semantic seg...

关键词： Training | Adaptation models | Navigation | Semantic segmentation | Roads | Semantics | Reliability

摘要：Extractive text summarization is one of the most important tasks in natural language processing. In this work, we use K-Means clustering to create the clusters on the Vietnamese large-scale dataset, t...

关键词： Text summarization | K-Means | Clustering | Large-scale dataset

摘要：We propose the new multi-class of bagged proximal support vector machines (MC-Bag-PSVM) for handling the ImageNet challenging problem with very large number of images and a thousand classes. Our MC-Ba...

关键词： Large scale image classification | Support vector machines | Multi-class

NSTL主题词： Support Vector Network | multi-class

摘要：We propose to fine-tune pre-trained deep network models for efficiently classifying fingerprint images. Real datasets of fingerprint images are collected from students at the Can Tho University. We pr...

关键词： Support vector machines | Deep learning | Knowledge engineering | Image matching | Transforms | Fingerprint recognition | Modeling

NSTL主题词： Fingerprint images | network model | Information management | Creating metadata

摘要：We propose to combine support vector machine (SVM) models learned from different visual features for efficiently classifying fingerprint images. Real datasets of fingerprint images are collected from ...

关键词： Fingerprint image classification | Visual features | Combining classifiers

NSTL主题词： Support Vector Network | Fingerprint images | Information management | Creating metadata

摘要：The paper proposes a secure and robust stereo image watermarking scheme based on chaotic logistic map encoding and frequency transformations. The chaotic logistic map encoding is employed to confuse b...

关键词： Data hiding | Watermarking | DCT-SVD | Chaos | Logistic map

NSTL主题词： Secure | Logistic map | Watermarking | Frequency-domain analysis | Robustness | Scheme

摘要：Our investigation aims at classifying images of the intangible cultural heritage (ICH) in the Mekong Delta, Vietnam. We collect an images dataset of 17 ICH categories and manually annotate them. The c...

关键词： Images of the intangible cultural heritage in the Mekong Delta | Image classification | Visual features | Support vector machines | Stacking

NSTL主题词： Stacking | Information management | Creating metadata | Support Vector Network | images

摘要：Intelligent vehicle detection and counting are becoming increasingly important in the field of highway and transport infrastructure management. Traditional methods based on image information have show...

关键词： Road transportation | Adaptation models | Computational modeling | Vehicle detection | Real-time systems | Object tracking | Object recognition

NSTL主题词： Vehicle detection

摘要：New parallel algorithms of local support vector regression (local SVR), called kSVR, krSVR are proposed in this paper to efficiently handle the prediction task for large datasets. The learning strateg...

关键词： Support vector regression (SVR) | Local support vector regression (local SVR) | Ensemble learning | Large datasets

NSTL主题词： Dealing | Support Vector Network | Local support | learning algorithms | Dataset | Regression (Psychology) | Parallel Lines

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国家科技图书文献中心