RSS 1.0Welcome to DR-NTU (Open Access)
We aim to capture, store and preserve the scholarly output of Nanyang Technological University (NTU) and make it available to the global research community. The repository contains open access collections.
We accept the following categories of publications in our Open Repository. Please email us for clarification.
- Journal Articles
- Conference Articles
Communities in DR-NTU
Select a community to browse its collections.
Recently Added
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Chemical biology approaches to identify novel anti-pseudomonas aeruginosa agents
(2019)The emergence of multidrug-resistance pathogens has called for alternative therapies to treat bacterial infections. Pseudomonas aeruginosa is an opportunistic pathogen that often causes persistent infections associated ... -
Automatic detection approach for bioresorbable vascular scaffolds using a u-shaped convolutional neural network
(2019)Artificial stent implantation is one of the most effective ways to treat vascular diseases. However, commonly used metal stents have many negative effects, such as being difficult to remove and recover, whereas bio-absorbable ... -
Which channel to ask my question? : personalized customer service request stream routing using deep reinforcement learning
(2019)Customer services are critical to all companies, as they may directly connect to the brand reputation. Due to a great number of customers, e-commerce companies often employ multiple communication channels to answer customers' ... -
An ICI suppression analysis testbed for harbor unmanned ground vehicle deployment
(2019)In recent years, intelligent transport system (ITS) applications with unmanned ground vehicles (UGV) have increased dramatically to improve the safety, efficiency, and unique services in low- to medium-range communication ... -
Threshold estimation models for linear threshold-based influential user mining in social networks
(2019)Influence Maximization (IM) is a popular social network mining mechanism that mines influential users for viral marketing in social networks. Most of the Influence Maximization techniques employ either the independent ...
