Now showing items 101-120 of 187

    • VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs 

      Nguyen, Hieu T.; Pham, Hieu H.; Nguyen, Nghia T.; Nguyen, Ha Q.; Huynh, Thang Q.; Dao, Minh; Vu, Van (2021-06-24)
      Radiographs are used as the most important imaging tool for identifying spine anomalies in clinical practice. The evaluation of spinal bone lesions, however, is a challenging task for radiologists. This work aims at ...
    • Usage and Impact of Information and Communication Technologies in Healthcare Delivery 

      Kong, Lu; Sadatsafavi, Hessam; Verma, Rohit (2019-06-24)
      This paper discusses two aspects of the use of information and communication technologies (ICTs) in healthcare: first, the prevalence of using tablets and laptop computers by physicians during clinical visits and, second, ...
    • Trend Analysis of Forest Fire in Pahang, Malaysia from 2001-2021 with Google Earth Engine Platform 

      Chew, Yee Jian; Ooi, Shih Yin; Pang, Ying Han; Wong, Kok-Seng (2022-12)
      Remote sensing imagery is one of the cost-efficient solutions to observe forest fire occurrence in a particular region. With the accessibility of more public remote sensing data, researchers and field experts can exploit ...
    • Towards an Overall QoE Model for 360-Degree Video 

      Tran, Huyen T. T.; Pham, Ngoc Nam; Truong, Cong Thang (2021-01-13)
      Although 360-degree video is becoming more and more popular on the Internet, understanding of Quality of Experience (QoE) of 360-degree video is still limited. In this paper, we aim to investigate for the first time the ...
    • Toward forecasting future day air pollutant index in Malaysia 

      Wong, Kok-Seng; Chew, Yee Jian; Ooi, Shih Yin; Pang, Ying Han (2020-10-14)
      The association of air pollution and the magnitude of adverse health effects are receiving close attention from the world. The effects of air pollution were found to be most significant for children, elderly, and patients ...
    • The COVID-19 Pandemic: A View From Vietnam 

      Trevisan, Maurizio; Le, Linh Cu; Le, Anh Vu (2020-04-27)
      Vietnam can be considered a success story in its handling of the COVID-19 pandemic. As of April 27, 2020, the country has had 270 cases (225 recovered), no deaths, and no new cases for the past 10 days (since April 18). ...
    • The association between birth order and childhood brain tumors: a systematic review and meta-analysis 

      Nguyen, Mai V.; Tran, Mo T.; Tran, Chi TDu; Tran, Quang H.; Phung, Lam N.; Vu, Huyen X.; Tuong, Thuy TV; Boffetta, Paolo; Le, Linh Cu; Lu, Hung N. (2018-07-06)
      The incidence of childhood brain tumors (CBT) has increased worldwide, likely resulting from the improvements of early diagnostics. We conducted a systematic review and meta-analysis to clarify the association between birth ...
    • Social Disrupters: Constructing a New Way to Deliver Primary Health Services in a Rural Setting 

      Andrew, W. Taylor-Robinson; Olav, T. Muurlink; Lisa, A. Caffery (2021)
      In this paper, we delve into the role of social enterprise in addressing gaps in health provision common in rural Australia. Through an exploratory case study centered on Emerald, a small town in Central Queensland, we ...
    • Service Chains’ Operational Strategies: Standardization or Customization? Evidence from the Nursing Home Industry 

      Rohit, Verma; Lu, Kong; Kejia, Hu (2022-04-21)
      Problem Definition: We explore how the Degree of Standardization (DoS) across units within service chains affects their performance outcomes, focusing on the nursing home industry. Specifically, we analyze DoS across three ...
    • SEGTRANSVAE: Hybrid CNN-Transformer with Regularization for Medical Image Segmentation 

      Nguyen, Do Trung Chanh; Pham, Quan Dung; Nguyen, Truong Hai; Nguyen, Phuong Nam; Nguyen, Khoa N. A.; Bui, Trung; Truong, Steven Q.H. (2022)
      Current research on deep learning for medical image segmentation highlights limitations in learning either global semantic information or local contextual information effectively. To address these challenges, this paper ...
    • SDN – based Dynamic Bandwidth Allocation for Multiple Video-on-Demand Players over HTTP 

      Pham, Ngoc Nam; Pham, Hong Thinh; Nguyen, Huu Thinh; Truong, Thu Huong (2019)
      Nowadays, HTTP adaptive streaming (HAS) has become the standard for video streaming over multimedia networks. However, HAS alone cannot ensure a seamless viewing experience. The adaptation of HAS in network management faces ...
    • Scalable 360 Video Streaming using HTTP/2 

      Nguyen, Duc V.; Hoang, Van Trung; Hoang, Le Dieu Huong; Truong, Thu Huong; Pham, Ngoc Nam; Truong, Cong Thang (2019-07)
      360-degree video is the primary content type in Virtual Reality, offering users an immersive viewing experience. This paper introduces a novel adaptation method for streaming 360-degree video over HTTP/2, aimed at enhancing ...
    • Retina-based quality assessment of tile-coded 360-degree videos 

      Nguyen, Viet Hung; Pham, Ngoc Nam; Truong, Cong Thang; Bui, Duy Tien; Nguyen, Huu Thanh; Truong, Thu Huong (2022-06-21)
      Nowadays, omnidirectional content, which delivers 360-degree views of scenes, is a significant aspect of Virtual Reality systems. While 360 video requires a lot of bandwidth, users only see visible tiles, therefore a large ...
    • QoE Models for Adaptive Streaming: A Comprehensive Evaluation 

      Nguyen, Duc; Pham, Ngoc Nam; Truong, Cong Thang (2022-05-13)
      Adaptive streaming has become a key technology for various multimedia services, such as online learning, mobile streaming, Internet TV, etc. However, because of throughput fluctuations, video quality may be dramatically ...
    • Strategic responses of the hotel sector to COVID-19: Toward a refined pandemic crisis management framework 

      Le, Dung; Phi, Giang (2020-12-03)
      The Covid-19 pandemic has long-lasting impacts that require the hotel sector to revise, innovate, and transform their businesses. However, the literature related to this area remains vastly under-developed. Based on 219 ...
    • An ethnographic study of Vietnamese-Ukrainian identity 

      Harrison, David Kevin; Wessling, Robert; Fam, Min Tkhan; Bui, Dmytro (Asian Ethnicity, 2024-07-23)
      Vietnamese Ukrainians are a largely unstudied identity group that has recently attracted attention due to the impacts of the Russo-Ukrainian War. Our study examines Vietnamese-Ukrainian bicultural identity as experienced ...
    • Out of the Closet, Not Yet Out of the House: Gay Men’s Experiences of Homonegativity and Internalized Homonegativity 

      Thepsourinthone, Jack; Dune, Tinashe; Liamputtong, Pranee; Arora, Amit (2021-09-07)
      This paper explores how Australian gay men experience gender and sexuality in relation to heteronormative gender norms, particularly masculinity. A sample of 32 gay men aged 22–72 participated in an online interview using ...
    • Neural Radiance Projection 

      Pham, Ngoc Huy; Tran, Minh Quan (2022-03-20)
      The proposed method, Neural Radiance Projection (NeRP), addresses three fundamental challenges in training convolutional neural networks for X-ray image segmentation: handling limited or missing human-annotated datasets, ...
    • Network-aware Prefetching Method for Short-Form Video Streaming 

      Nguyen, Duc; Nguyen, Phong; Nguyen, Vu Long; Pham, Ngoc Nam; Truong, Thu Huong (2022-09-07)
      Recent years have witnessed the rising popularity of short-form video platforms such as TikTok. Unlike conventional videos, short-form videos are significantly shorter, and users frequently switch between content. Therefore, ...
    • Mobile technology adoption among hotels: Managerial issues and opportunities 

      Han, Spring H; Lee, Jungwoo; Edvardsson, Bo; Verma, Rohit (2021-03-10)
      Mobile technology in hotels aims to offer innovative service solutions for both employees and customers, yet remains underexplored, with unresolved managerial and operational issues. This study seeks to identify these ...

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