| SSIM -A Deep Learning Approach for Recovering Missing Time Series Sensor Data YF Zhang, P Thorburn, W Xiang, P Fitch IEEE Internet of Things Journal 6 (4), 6618-6628, 2019 | 136 | 2019 |
| Handling missing data in near real-time environmental monitoring: A system and a review of selected methods Y Zhang, P Thorburn Future Generation Computer Systems 128, 63-72, 2022 | 70 | 2022 |
| Predicting the Trend of Dissolved Oxygen based on kPCA-RNN Model YF Zhang, P Fitch, P Thorburn Water 12 (2), 585, 2020 | 67 | 2020 |
| Applying Multi-Layer Artificial Neural Network and Mutual Information to the Prediction of Trends in Dissolved Oxygen YF Zhang, P Fitch, PM Vilas, P Thorburn Frontiers in Environmental Science 7, 46, 2019 | 54 | 2019 |
| ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-step-Ahead Time-Series Forecasting JJ Dabrowski, YF Zhang, A Rahman 27th International Conference on Neural Information Processing (ICONIP2020 …, 2020 | 47 | 2020 |
| Evolution and application of digital technologies to predict crop type and crop phenology in agriculture AB Potgieter, Y Zhao, PJ Zarco-Tejada, K Chenu, Y Zhang, K Porker, ... in silico Plants 3 (1), diab017, 2021 | 37 | 2021 |
| Active Fault-Tolerant Control for Discrete Vehicle Active Suspension via Reduced-Order Observer SY Han, J Zhou, YH Chen, YF Zhang, GY Tang, L Wang IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020 | 33 | 2020 |
| 1622WQ: A web-based application to increase farmer awareness of the impact of agriculture on water quality MP Vilas, PJ Thorburn, S Fielke, T Webster, M Mooij, JS Biggs, YF Zhang, ... Environmental Modelling & Software 132, 104816, 2020 | 25 | 2020 |
| A dual-head attention model for time series data imputation YF Zhang, P Thorburn Computers and Electronics in Agriculture 189, 106377, 2021 | 21 | 2021 |
| Multi-Task Temporal Convolutional Network for Predicting Water Quality Sensor Data YF Zhang, P Thorburn, P Fitch Communications in Computer and Information Science (CCIS) 1142, 122-130, 2019 | 20 | 2019 |
| Data-aware task scheduling for all-to-all comparison problems in heterogeneous distributed systems YF Zhang, YC Tian, C Fidge, W Kelly Journal of parallel and distributed computing 93, 87-101, 2016 | 19 | 2016 |
| Scalable and efficient data distribution for distributed computing of all-to-all comparison problems YF Zhang, YC Tian, W Kelly, C Fidge Future Generation Computer Systems 67, 152-162, 2017 | 11 | 2017 |
| A distributed computing framework for all-to-all comparison problems YF Zhang, YC Tian, W Kelly, C Fidge IECON 2014-40th Annual Conference of the IEEE Industrial Electronics Society …, 2014 | 11 | 2014 |
| Consensus forecast of rainfall using hybrid climate learning model N Madhukumar, E Wang, YF Zhang, W Xiang IEEE Internet of Things Journal 8 (9), 7270-7278, 2020 | 10 | 2020 |
| HELPING FARMERS MITIGATE NUTRIENT LOSSES TO THE GREAT BARRIER REEF THROUGH “DIGITAL AGRICULTURE” P Thorburn, P Fitch, YF Zhang, Y Shendryk, T Webster, J Biggs, M Mooij, ... Occasional Report 32, 6, 2019 | 5 | 2019 |
| Application of simulated annealing to data distribution for all-to-all comparison problems in homogeneous systems YF Zhang, YC Tian, W Kelly, C Fidge, J Gao Lecture Notes in Computer Science (LNCS) 9491, 683-691, 2015 | 5 | 2015 |
| Distributed computing of all-to-all comparison problems in heterogeneous systems YF Zhang, YC Tian, W Kelly, C Fidge IECON 2015-41st Annual Conference of the IEEE Industrial Electronics Society …, 2015 | 3 | 2015 |
| A deep surrogate model with spatio-temporal awareness for water quality sensor measurement YF Zhang, PJ Thorburn Expert Systems with Applications 200, 116914, 2022 | 2 | 2022 |
| Machine Learning Approaches to Improve and Predict Water Quality Data YF Zhang, P Thorburn, P Fitch The 23rd International Congress on Modelling and Simulation (MODSIM2019 …, 2019 | 2 | 2019 |
| ‘Digital agriculture’helping farmers reduce impacts of cropping on the Great Barrier Reef PJ Thorburn, P Fitch, YF Zhang, Y Shendryk, T Webster, J Biggs, M Mooij, ... 19th Australian Society of Agronomy Conference, 2019 | 2 | 2019 |
