VinSpace: Recent submissions
Hiển thị tài liệu từ 301-320 của 550
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Optical glucose sensors based on chitosan-capped ZnS-doped Mn nanomaterials
(2023-03-06)The primary goal of glucose sensing at the point of care is to identify glucose concentrations within the diabetes range. However, lower glucose levels also pose a severe health risk. In this paper, we propose quick, simple, ... -
Toward efcient and intelligent video analytics with visual privacy protection for large‐scale surveillance
(2021-05-15)Nowadays, the explosion of CCTV cameras has resulted in an increasing demand for distributed solutions to efficiently process the vast volume of video data. However, the use of surveillance, where people are being watched ... -
On the effect of isotropy on VAE representations of text
(2022-05)Injecting desired geometric properties into text representations has attracted a lot of attention. A property that has been argued for, due to its better utilisation of representation space, is isotropy. In parallel, VAEs ... -
Toward Efficient Hierarchical Federated Learning Design Over Multi-Hop Wireless Communications Networks
(2022-10-19)Federated learning (FL) has recently received considerable attention and is becoming a popular machine learning (ML) framework that allows clients to train machine learning models in a decentralized fashion without sharing ... -
Novel technique for scapulothoracic arthroscopy: A case report of the application of intraoperative 3D imaging
(2021-11-03)Excision of the scapular superomedial corner is assumed to help lower the recurrence rate. However, the amount of resection is still controversial. Furthermore, we lack a technique to measure if the resected amount was ... -
Towards a Comprehensive Solution for a Vision-Based Digitized Neurological Examination
(2022-08-08)The ability to use digitally recorded and quantified neurological exam information is important to help healthcare systems deliver better care, in-person and via telehealth, as they compensate for a growing shortage of ... -
Multi-stream fusion for class incremental learning in pill image classification
(2022)Classifying pill categories from real-world images is crucial for various smart healthcare applications. Although existing approaches in image classification might achieve a good performance on fixed pill categories, they ... -
Ultra‐broadband and fexible metamaterial absorber based on MoS2 cuboids with Mie resonances
(2023-03-02)In this work, we present a type of flexible and broadband metamaterial absorber operating in the GHz range. The proposed structure consists of three layers: a periodic square-shaped array made of molybdenum disulfide (MoS2) ... -
Understanding Hierarchical Processes
(2022-11-22)Hierarchical stochastic processes, such as the hierarchical Dirichlet process, hold an important position as a modelling tool in statistical machine learning, and are even used in deep neural networks. They allow, for ... -
Under the regulatory radar: Unregulated rural healthcare in Bangladesh and Australia
(2022-02-04)This study examines health regulation under conditions of geographical constraint in two strikingly different settings, one on a remote island in Bangladesh and the other in an impoverished rural region in Australia. Both ... -
Unified Energy-Based Generative Network for Supervised Image Hashing
(2023)Hashing methods often face critical efficiency challenges, such as generalization with limited labeled data, and robustness issues (such as changes in the data distribution and missing information in the input data) in ... -
Use of a convolutional neural network and quantitative ultrasound for diagnosis of fatty liver
(2022-03-01)Quantitative ultrasound (QUS) was used to classify rabbits that were induced to have liver disease by placing them on a fatty diet for a defined duration and/or periodically injecting them with CCl4. The ground truth of ... -
Vietnam Tourism: a View from Within
(2022)Vietnam Tourism: Policies and Practices is a unique work offering an emic view of tourism in Vietnam. Thirteen chapters in the book cover a broad range of tourism development issues with reference to the historical, ... -
VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations
(2022)Most of the existing chest X-ray datasets include labels from a list of findings without specifying their locations on the radiographs. This limits the development of machine learning algorithms for the detection and ... -
VinDr-Mammo: A large-scale benchmark dataset for computer- aided diagnosis in full-feld digital mammography
(2023)Mammography, or breast X-ray imaging, is the most widely used imaging modality to detect cancer and other breast diseases. Recent studies have shown that deep learning-based computer-assisted detection and diagnosis (CADe/x) ... -
Migrant and refugee youth’s sexual and reproductive health and rights: A scoping review to inform policies and programs
(2923-06-05)Objectives: Migrants and refugee youth (MRY) in Western nations are less likely to participate in sexual reproductive health (SRH) services. Consequently, MRY are more likely to encounter adverse SRH experiences due to ... -
Mediating role of educational environment in the relationship between workload and generic skills of nursing students in Vietnam
(2023-07-04)Students’ learning experiences are considered useful indicators to evaluate the effectiveness of teaching in tertiary education. With limited theory-driven research, this study aimed to examine whether the educational ... -
Learning from multiple expert annotators for enhancing anomaly detection in medical image analysis
(2023-04-10)Cardiovascular diseases (CVDs) are a group of heart and blood vessel disorders that is one of the most serious dangers to human health, and the number of such patients is still growing. Early and accurate detection plays ... -
Learning from multiple expert annotators for enhancing anomaly detection in medical image analysis
(2022-03-20)Building an accurate computer-aided diagnosis system based on data-driven approaches requires a large amount of high-quality labeled data. In medical imaging analysis, multiple expert annotators often produce subjective ... -
Vg9gd T Cell Induction by Human Umbilical Cord Blood Monocytes-Derived, Interferon-a-Stimulated Dendritic Cells
(2020-10-23)Dendritic cells (DC) are professional antigen-presenting cells that activate T cells to kill cancer cells. The extracellular products of DCs have also been reported to perform the same function. In this study, we examined ...
