Ashfaqur Rahman
Ashfaqur Rahman
Team Leader and Principal Research Scientist, Data61, CSIRO, Senior Member, IEEE
Verified email at - Homepage
Cited by
Cited by
Efficient orthogonal parametrisation of recurrent neural networks using householder reflections
Z Mhammedi, A Hellicar, A Rahman, J Bailey
International Conference on Machine Learning, 2401-2409, 2017
Cattle behaviour classification from collar, halter, and ear tag sensors
A Rahman, DV Smith, B Little, AB Ingham, PL Greenwood, ...
Information processing in agriculture 5 (1), 124-133, 2018
Behavior classification of cows fitted with motion collars: Decomposing multi-class classification into a set of binary problems
D Smith, A Rahman, GJ Bishop-Hurley, J Hills, S Shahriar, D Henry, ...
Computers and Electronics in Agriculture 131, 40-50, 2016
Cluster-oriented ensemble classifier: Impact of multicluster characterization on ensemble classifier learning
B Verma, A Rahman
IEEE Transactions on knowledge and data engineering 24 (4), 605-618, 2011
Detecting heat events in dairy cows using accelerometers and unsupervised learning
MS Shahriar, D Smith, A Rahman, M Freeman, J Hills, R Rawnsley, ...
Computers and Electronics in Agriculture 128, 20-26, 2016
Novel layered clustering-based approach for generating ensemble of classifiers
A Rahman, B Verma
IEEE Transactions on Neural Networks 22 (5), 781-792, 2011
Multi-objective resource allocation for Edge Cloud based robotic workflow in smart factory
M Afrin, J Jin, A Rahman, YC Tian, A Kulkarni
Future Generation Computer Systems 97, 119-130, 2019
Design and evaluation of a metropolitan air pollution sensing system
K Hu, V Sivaraman, BG Luxan, A Rahman
IEEE Sensors Journal 16 (5), 1448-1459, 2015
HazeEst: machine learning based metropolitan air pollution estimation from fixed and mobile sensors
K Hu, A Rahman, H Bhrugubanda, V Sivaraman
IEEE Sensors Journal 17 (11), 3517-3525, 2017
Ensemble classifier generation using non-uniform layered clustering and Genetic Algorithm
A Rahman, B Verma
Knowledge-Based Systems 43, 30-42, 2013
Use of sensor-determined behaviours to develop algorithms for pasture intake by individual grazing cattle
PL Greenwood, DR Paull, J McNally, T Kalinowski, D Ebert, B Little, ...
Crop and Pasture Science 68 (12), 1091-1099, 2017
Multiple steps ahead solar photovoltaic power forecasting based on univariate machine learning models and data re-sampling
M Rana, A Rahman
Sustainable Energy, Grids and Networks 21, 100286, 2020
Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey
M Afrin, J Jin, A Rahman, A Rahman, J Wan, E Hossain
IEEE Communications Surveys & Tutorials, 2021
Robust malware defense in industrial IoT applications using machine learning with selective adversarial samples
ME Khoda, T Imam, J Kamruzzaman, I Gondal, A Rahman
IEEE Transactions on Industry Applications 56 (4), 4415-4424, 2019
Communication-aware cloud robotic task offloading with on-demand mobility for smart factory maintenance
A Rahman, J Jin, AL Cricenti, A Rahman, A Kulkarni
IEEE Transactions on Industrial Informatics 15 (5), 2500-2511, 2018
A cloud robotics framework of optimal task offloading for smart city applications
A Rahman, J Jin, A Cricenti, A Rahman, D Yuan
2016 IEEE Global Communications Conference (GLOBECOM), 1-7, 2016
Air pollution exposure estimation and finding association with human activity using wearable sensor network
K Hu, T Davison, A Rahman, V Sivaraman
Proceedings of the MLSDA 2014 2nd workshop on machine learning for sensory …, 2014
An image based approach to compute object distance
A Rahman, A Salam, M Islam, P Sarker
International Journal of Computational Intelligence Systems 1 (4), 304-312, 2008
Cluster‐based ensemble of classifiers
A Rahman, B Verma
Expert Systems 30 (3), 270-282, 2013
A comparison of autoencoder and statistical features for cattle behaviour classification
A Rahman, D Smith, J Hills, G Bishop-Hurley, D Henry, R Rawnsley
2016 international joint conference on neural networks (IJCNN), 2954-2960, 2016
The system can't perform the operation now. Try again later.
Articles 1–20