179 citations
- University of Technology SydneyAU3 papers
- Northeastern UniversityUS2 papers
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- Aarhus UniversityDK1 paper
- Amsterdam University Medical CentersNL1 paper
- ARC Centre of Excellence for Engineered Quantum SystemsAU1 paper
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14 papers
DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT Sensor Data
Muhammad Sakib Khan Inan, Kewen Liao, Haifeng Shen +3
Internet of Things (IoT) sensor data or readings evince variations in timestamp range, sampling frequency, geographical location, unit of measurement, etc. Such presented sequence…
A three-year comparative study of dominant misconceptions among first-year physics students at a South African university
Anna Chrysostomou, Alan S. Cornell, Wade Naylor
This article discusses a three-year study (2020 - 2022) of dominant misconceptions (DMs) for a large cohort of first-year physics course students at the University of Johannesburg…
A fuzzy adaptive evolutionary-based feature selection and machine learning framework for single and multi-objective body fat prediction
Farshid Keivanian, Raymond Chiong, Zongwen Fan
Predicting body fat can provide medical practitioners and users with essential information for preventing and diagnosing heart diseases. Hybrid machine learning models offer better…
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples
Wei Duan, Junyu Xuan, Maoying Qiao +1
Graph Convolutional Neural Networks (GCNs) has been generally accepted to be an effective tool for node representations learning. An interesting way to understand GCNs is to think…
Using Open Data and Open-Source Software to Develop Spatial Indicators of Urban Design and Transport Features for Achieving Healthy and Sustainable Cities
Geoff Boeing, Carl Higgs, Shiqin Liu +27
Benchmarking and monitoring urban design and transport features is critical to achieving local and international health and sustainability goals. However, most urban indicator fram…
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification
Zhibin Liao, Kewen Liao, Haifeng Shen +6
Convolutional neural networks (CNNs) have gained significant popularity in orthopedic imaging in recent years due to their ability to solve fracture classification problems. A comm…