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- The University of MelbourneAU14 papers
- Monash UniversityAU13 papers
- Curtin UniversityAU11 papers
- National Institute for Materials ScienceJP11 papers
- Queen's University BelfastGB10 papers
- RMIT UniversityAU9 papers
- Swinburne University of TechnologyAU9 papers
- The University of SydneyAU9 papers
- Commonwealth Scientific and Industrial Research OrganisationAU7 papers
- UNSW SydneyAU7 papers
- Wenzhou UniversityCN6 papers
- Australian SynchrotronAU5 papers
10 papers · 1 filter
Molecule-Induced Conformational Change in Boron Nitride Nanosheets with Enhanced Surface Adsorption
Qiran Cai, Aijun Du, Guoping Gao +11
Surface interaction is extremely important to both fundamental research and practical application. Physisorption can induce shape and structural distortion (i.e. conformational cha…
Programmable graphene doping via electron beam irradiation
Yangbo Zhou, Jakub Jadwiszczak, Darragh Keane +3
Graphene is a promising candidate to succeed silicon based devices and doping holds the key to graphene electronics. Conventional doping methods through surface functionalization o…
A Robust 3D-2D Interactive Tool for Scene Segmentation and Annotation
Duc Thanh Nguyen, Binh-Son Hua, Lap-Fai Yu +1
Recent advances of 3D acquisition devices have enabled large-scale acquisition of 3D scene data. Such data, if completely and well annotated, can serve as useful ingredients for a…
Wind ramp event prediction with parallelized Gradient Boosted Regression Trees
Saurav Gupta, Nitin Anand Shrivastava, Abbas Khosravi +1
Accurate prediction of wind ramp events is critical for ensuring the reliability and stability of the power systems with high penetration of wind energy. This paper proposes a clas…
Stabilizing Linear Prediction Models using Autoencoder
Shivapratap Gopakumar, Truyen Tran, Dinh Phung +1
To date, the instability of prognostic predictors in a sparse high dimensional model, which hinders their clinical adoption, has received little attention. Stable prediction is oft…
Outlier Detection on Mixed-Type Data: An Energy-based Approach
Kien Do, Truyen Tran, Dinh Phung +1
Outlier detection amounts to finding data points that differ significantly from the norm. Classic outlier detection methods are largely designed for single data type such as contin…