705 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Commonwealth Scientific and Industrial Research OrganisationAU25 papers
- UNSW SydneyAU24 papers
- Center for Astrophysics Harvard & SmithsonianUS16 papers
- Centre National de la Recherche ScientifiqueFR14 papers
- Australia Telescope National FacilityAU13 papers
- The University of SydneyAU13 papers
- University of LeedsGB12 papers
- Western Sydney UniversityAU12 papers
- Australian National UniversityAU11 papers
- University College LondonGB11 papers
- University of Southern QueenslandAU10 papers
- University of ManchesterGB9 papers
18 papers · 1 filter
Performance of a GPU- and Time-Efficient Pseudo 3D Network for Magnetic Resonance Image Super-Resolution and Motion Artifact Reduction
Hao Li, Jianan Liu, Marianne Schell +8
Shortening acquisition time and reducing motion artifacts are the most critical challenges in magnetic resonance imaging (MRI). Deep learning-based image restoration has emerged as…
Capturing Dynamics of Information Diffusion in SNS: A Survey of Methodology and Techniques
Huacheng Li, Chunhe Xia, Tianbo Wang +3
Studying information diffusion in SNS (Social Networks Service) has remarkable significance in both academia and industry. Theoretically, it boosts the development of other subject…
Deep Instance Segmentation with Automotive Radar Detection Points
Jianan Liu, Weiyi Xiong, Liping Bai +4
Automotive radar provides reliable environmental perception in all-weather conditions with affordable cost, but it hardly supplies semantic and geometry information due to the spar…
A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images
Alzayat Saleh, Issam H. Laradji, Corey Lammie +3
Health professionals extensively use Two- Dimensional (2D) Ultrasound (US) videos and images to visualize and measure internal organs for various purposes including evaluation of m…
Scattering of low energy neutrinos and antineutrinos by atomic electrons
Ian B. Whittingham
Studies of neutrino mixing and oscillations, solar neutrinos as background in dark matter searches involving electron detection, detection of sterile neutrino warm dark matter, and…
Applying Semi-Automated Hyperparameter Tuning for Clustering Algorithms
Elizabeth Ditton, Anne Swinbourne, Trina Myers +1
When approaching a clustering problem, choosing the right clustering algorithm and parameters is essential, as each clustering algorithm is proficient at finding clusters of a part…
TESS Data for Asteroseismology (T'DA) Stellar Variability Classification Pipeline: Set-Up and Application to the Kepler Q9 Data
Jeroen Audenaert, James S. Kuszlewicz, Rasmus Handberg +16
The NASA Transiting Exoplanet Survey Satellite (TESS) is observing tens of millions of stars with time spans ranging from 27 days to about 1 year of continuous observations.…
Toward a complete and comprehensive cross section database for electron scattering from NO using machine learning
Peter W. Stokes, Ronald D. White, Laurence Campbell +1
We review experimental and theoretical cross sections for electron scattering in nitric oxide (NO) and form a comprehensive set of plausible cross sections. To assess the accuracy…
Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey
Xiaoyu Zhang, Chao Chen, Yi Xie +3
Deep Neural Network (DNN), one of the most powerful machine learning algorithms, is increasingly leveraged to overcome the bottleneck of effectively exploring and analyzing massive…
Electronic statistics-on-demand: bunching, anti-bunching, positive and negative correlations in a molecular spin-valve
Nicholas S. Davis, Samuel L. Rudge, Daniel S. Kosov
One of the long-standing goals of quantum transport is to use the noise, rather than the average current, for information processing. However, achieving this requires on-demand con…
Memristive Stochastic Computing for Deep Learning Parameter Optimization
Corey Lammie, Jason K. Eshraghian, Wei D. Lu +1
Stochastic Computing (SC) is a computing paradigm that allows for the low-cost and low-power computation of various arithmetic operations using stochastic bit streams and digital l…
Denoising Higher-order Moments for Blind Digital Modulation Identification in Multiple-antenna Systems
Sofiane Kharbech, Eric Pierre Simon, Akram Belazi +1
The paper proposes a new technique that substantially improves blind digital modulation identification (DMI) algorithms that are based on higher-order statistics (HOS). The propose…
Towards Memristive Deep Learning Systems for Real-time Mobile Epileptic Seizure Prediction
Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi
The unpredictability of seizures continues to distress many people with drug-resistant epilepsy. On account of recent technological advances, considerable efforts have been made us…
Machine Learning Based Cyber Attacks Targeting on Controlled Information: A Survey
Yuantian Miao, Chao Chen, Lei Pan +3
Stealing attack against controlled information, along with the increasing number of information leakage incidents, has become an emerging cyber security threat in recent years. Due…
First-passage time theory of activated rate chemical processes in electronic molecular junctions
Riley J. Preston, Maxim F. Gelin, Daniel S. Kosov
Confined nanoscale spaces, electric fields and tunneling currents make the molecular electronic junction an experimental device for the discovery of new, out-of-equilibrium chemica…
A model for dynamical solvent control of molecular junction electronic properties
Maxim F. Gelin, Daniel S. Kosov
Experimental measurements of electron transport properties of molecular junctions are often performed in solvents. Solvent-molecule coupling and physical properties of the solvent…
An improved set of electron-THFA cross sections refined through a neural network-based analysis of swarm data
Peter W. Stokes, Sean P. Foster, Madalyn J. E. Casey +6
We review experimental and theoretical cross sections for electron transport in -tetrahydrofurfuryl alcohol (THFA) and, in doing so, propose a plausible complete set. To assess…
Internet of Underwater Things and Big Marine Data Analytics -- A Comprehensive Survey
Mohammad Jahanbakht, Wei Xiang, Lajos Hanzo +1
The Internet of Underwater Things (IoUT) is an emerging communication ecosystem developed for connecting underwater objects in maritime and underwater environments. The IoUT techno…