User profiles for "author:Carol Hargreaves"
Carol HargreavesNational University of Singapore Verified email at nus.edu.sg Cited by 507 |
[HTML][HTML] Leveraging Twitter data to understand public sentiment for the COVID‐19 outbreak in Singapore
KM Ridhwan, CA Hargreaves - International Journal of Information …, 2021 - Elsevier
Microblogging has become one of the most useful tools for sharing everyday life events and
news and for expressing opinions about those events. As Twitter posts are short and …
news and for expressing opinions about those events. As Twitter posts are short and …
[HTML][HTML] How can we use artificial intelligence for stock recommendation and risk management? A proposed decision support system
RMD Gonzales, CA Hargreaves - International Journal of Information …, 2022 - Elsevier
Background Decision-making in the stock market is convoluted as it requires significant
trading experience and knowledge. Faced with a huge range of stocks, investors in the stock …
trading experience and knowledge. Faced with a huge range of stocks, investors in the stock …
[PDF][PDF] Analysis of hotel guest satisfaction ratings and reviews: An application in Singapore
CA Hargreaves - American Journal of Marketing Research, 2015 - academia.edu
The hotel industry in Singapore is an important part of the hospitality and tourism
infrastructure and a strategic part of Singapore's growth story. Hotels are primarily viewed as …
infrastructure and a strategic part of Singapore's growth story. Hotels are primarily viewed as …
The impact of shipping CO2 emissions from marine traffic in Western Singapore Straits during COVID-19
Y Ju, CA Hargreaves - Science of The Total Environment, 2021 - Elsevier
The maritime industry plays a key role in reducing greenhouse gas (GHG) emissions, as an
effort to combat the global issue of climate change. The International Maritime Organization …
effort to combat the global issue of climate change. The International Maritime Organization …
[HTML][HTML] A machine learning approach for early diagnosis of cognitive impairment using population-based data
WY Tan, C Hargreaves, C Chen… - Journal of Alzheimer's …, 2023 - content.iospress.com
Background: The major mechanisms of dementia and cognitive impairment are vascular and
neurodegenerative processes. Early diagnosis of cognitive impairment can facilitate timely …
neurodegenerative processes. Early diagnosis of cognitive impairment can facilitate timely …
[HTML][HTML] A review study of the deep learning techniques used for the classification of chest radiological images for COVID-19 diagnosis
Y Wang, CA Hargreaves - International Journal of Information Management …, 2022 - Elsevier
In the fight against COVID-19, the immediate and accurate screening of infected patients is
of great significance. Chest X-Ray (CXR) and Computed Tomography (CT) screening play …
of great significance. Chest X-Ray (CXR) and Computed Tomography (CT) screening play …
Establishing the national top 10 priority research questions to improve diabetes-related foot health and disease: a Delphi study of Australian stakeholders
BM Perrin, A Raspovic, CM Williams… - BMJ Open Diabetes …, 2021 - drc.bmj.com
Introduction Diabetes-related foot disease is a large cause of the global disease burden yet
receives very little research funding to address this large burden. To help address this gap, it …
receives very little research funding to address this large burden. To help address this gap, it …
[PDF][PDF] The Selection of winning stocks using principal component analysis
CA Hargreaves, CK Mani - American Journal of Marketing …, 2015 - researchgate.net
One of the primary challenges with stock selection is the identification of the best stock
features to use for the selection of winning stocks. Typically, there are easily more than 50 …
features to use for the selection of winning stocks. Typically, there are easily more than 50 …
[PDF][PDF] Prediction of stock performance using analytical techniques
C Hargreaves, Y Hao - Journal of Emerging Technologies in Web …, 2013 - academia.edu
With an easy access to share information and data nowadays, many investors worldwide are
interested in predicting stock prices. The prediction of stock prices using data mining …
interested in predicting stock prices. The prediction of stock prices using data mining …
Topological machine learning for multivariate time series
C Wu, CA Hargreaves - Journal of Experimental & Theoretical …, 2022 - Taylor & Francis
We develop a method for analyzing multivariate time series using topological data analysis
(TDA) methods. The proposed methodology involves converting the multivariate time series …
(TDA) methods. The proposed methodology involves converting the multivariate time series …