Ashfaqur Rahman

发表

Association Between Imaging and XRF Sensing: A Machine Learning Approach to Discover Mineralogy in Abandoned Mine Voids

Greg Smith, Craig A. Lindley, Md. Sumon Shahriar, 2016, IEEE Sensors Journal.

A machine learning approach to find association between imaging features and XRF signatures of rocks in underground mines

Md. Sumon Shahriar, Andrew D. Hellicar, Ashfaqur Rahman, 2015, 2015 IEEE SENSORS.

Cattle behaviour classification from collar, halter, and ear tag sensors

Aaron Ingham, Ashfaqur Rahman, Paul L. Greenwood, 2017 .

A Novel Machine Learning Approach Toward Quality Assessment of Sensor Data

Daniel V. Smith, Ashfaqur Rahman, Greg Timms, 2014, IEEE Sensors Journal.

A modified 2-D logarithmic search technique for video coding with reduced search points

Ashfaqur Rahman, Tahmina Akhtar, Rahima Akter, 2009, 2009 12th International Conference on Computers and Information Technology.

A Semi-supervised Approach for Activity Recognition from Indoor Trajectory Data

Daniel V. Smith, Ashfaqur Rahman, Mashud Rana, 2023, ArXiv.

Machine learning approach to investigate the influence of water quality on aquatic livestock in freshwater ponds

Ashfaqur Rahman, Mashud Rana, John Mcculloch, 2021, Biosystems Engineering.

Investigating data-driven approaches to understand the interaction between water quality and physiological response of sentinel oysters in natural environment

Mashud Rana, Andrew D. Hellicar, Ashfaqur Rahman, 2020, Comput. Electron. Agric..

A Data-driven Approach for Forecasting State Level Aggregated Solar Photovoltaic Power Production

Jiong Jin, Mashud Rana, Ashfaqur Rahman, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Multiple steps ahead solar photovoltaic power forecasting based on univariate machine learning models and data re-sampling

Mashud Rana, Ashfaqur Rahman, Ashfaqur Rahman, 2020 .

Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections pdf

James Bailey, Ashfaqur Rahman, Andrew D. Hellicar, 2016, ICML.

Detecting heat events in dairy cows using accelerometers and unsupervised learning

Mark Freeman, Md. Sumon Shahriar, Daniel V. Smith, 2016, Comput. Electron. Agric..

Heat event detection in dairy cows with collar sensors: An unsupervised machine learning approach

Ashfaqur Rahman, Greg Bishop-Hurley, Md. Sumon Shahriar, 2015, 2015 IEEE SENSORS.

Enforcing mean reversion in state space models for prawn pond water quality forecasting

Andrew George, Joel Janek Dabrowski, Ashfaqur Rahman, 2020, Comput. Electron. Agric..

Malware detection in edge devices with fuzzy oversampling and dynamic class weighting

Iqbal Gondal, Joarder Kamruzzaman, Ashfaqur Rahman, 2021, Appl. Soft Comput..

Mobile Malware Detection with Imbalanced Data using a Novel Synthetic Oversampling Strategy and Deep Learning

Joarder Kamruzzaman, Iqbal Gondal, Tasadduq Imam, 2020, 2020 16th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)(50308).

Dissolved oxygen prediction in prawn ponds from a group of one step predictors

Ashfaqur Rahman, John Mcculloch, J. Dabrowski, 2020 .

Air Pollution Exposure Estimation and Finding Association with Human Activity using Wearable Sensor Network

Vijay Sivaraman, Ashfaqur Rahman, Ke Hu, 2014, MLSDA'14.

Quantification of differences in resistance to gastrointestinal nematode infections in sheep using a multivariate blood parameter.

Ashfaqur Rahman, A. Ingham, P. Hunt, 2019, Veterinary parasitology.

A Multiple Classifier System for Predicting with missing Sensor Values

Ashfaqur Rahman, Qianyu Zhang, Claire D'Este, 2014, Adv. Data Sci. Adapt. Anal..

Dealing with missing sensor values in predicting shellfish farm closure

Greg P. Timms, Claire D'Este, Ashfaqur Rahman, 2013, 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

Claire D'Este, Ashfaqur Rahman, Ashfaqur Rahman, 2013, MCS.

Behavior Classification of Dairy Cows Fitted with GPS Collars

Robert Dunne, Ashfaqur Rahman, Richard Rawnsley, 2017, PAKDD.

An integrated framework of sensing, machine learning, and augmented reality for aquaculture prawn farm management

Mashud Rana, Matt Adcock, Ashfaqur Rahman, 2021 .

Smart Headset, Computer Vision and Machine Learning for Efficient Prawn Farm Management

Chuong H. Nguyen, Ashfaqur Rahman, Stuart Arnold, 2022, Aquacultural Engineering.

State Space Models for Forecasting Water Quality Variables: An Application in Aquaculture Prawn Farming

Stuart Arnold, Ashfaqur Rahman, Andrew George, 2018, KDD.

Multiple classifier system for automated quality assessment of marine sensor data

Ashfaqur Rahman, Greg P. Timms, Daniel V. Smith, 2013, 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

A comparison of autoencoder and statistical features for cattle behaviour classification

Daniel V. Smith, Richard Rawnsley, James Hills, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A study of sensor derived features in cattle behaviour classification models

Greg Bishop-Hurley, Aaron Ingham, Ashfaqur Rahman, 2015, 2015 IEEE SENSORS.

Design and Evaluation of a Metropolitan Air Pollution Sensing System

Vijay Sivaraman, Ke Hu, Ashfaqur Rahman, 2016, IEEE Sensors Journal.

Cloud-Enhanced Robotic System for Smart City Crowd Control

Marimuthu Palaniswami, Jiong Jin, Ashfaqur Rahman, 2016, J. Sens. Actuator Networks.

Behavior classification of cows fitted with motion collars: Decomposing multi-class classification into a set of binary problems

Md. Sumon Shahriar, Daniel V. Smith, Richard Rawnsley, 2016, Comput. Electron. Agric..

Robust Malware Defense in Industrial IoT Applications Using Machine Learning With Selective Adversarial Samples

Joarder Kamruzzaman, Iqbal Gondal, Tasadduq Imam, 2020, IEEE Transactions on Industry Applications.

Recurrent Neural Networks for One Day Ahead Prediction of Stream Flow

Ashfaqur Rahman, Zakaria Mhammedi, Andrew Hellicar, 2016, TSAA '16.

HazeEst: Machine Learning Based Metropolitan Air Pollution Estimation From Fixed and Mobile Sensors

Vijay Sivaraman, Ke Hu, Ashfaqur Rahman, 2017, IEEE Sensors Journal.

Multi-objective resource allocation for Edge Cloud based robotic workflow in smart factory

Jiong Jin, Ambarish Kulkarni, Yu-Chu Tian, 2019, Future Gener. Comput. Syst..

Benthic Habitat Mapping from Seabed Images using Ensemble of Color, Texture, and Edge Features

Ashfaqur Rahman, Ashfaqur Rahman, 2013, Int. J. Comput. Intell. Syst..

Effect of ensemble classifier composition on offline cursive character recognition

Brijesh Verma, Ashfaqur Rahman, Ashfaqur Rahman, 2013, Inf. Process. Manag..

Novel Layered Clustering-Based Approach for Generating Ensemble of Classifiers

Ashfaqur Rahman, Brijesh Verma, Ashfaqur Rahman, 2011, IEEE Transactions on Neural Networks.

Prediction of Dissolved Oxygen from pH and Water Temperature in Aquaculture Prawn Ponds

Ashfaqur Rahman, J. Dabrowski, A. George, 2018, Proceedings of the Australasian Joint Conference on Artificial Intelligence - Workshops.

Selective Adversarial Learning for Mobile Malware

Iqbal Gondal, Joarder Kamruzzaman, Tasadduq Imam, 2019, 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE).

Real-time temporal texture characterisation using block-based motion co-occurrence statistics

Ashfaqur Rahman, M. Manzur Murshed, Ashfaqur Rahman, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

HazeDose: Design and Analysis of a Personal Air Pollution Inhaled Dose Estimation System using Wearable Sensors pdf

Vijay Sivaraman, Ke Hu, Hassan Habibi Gharakheili, 2020, ArXiv.

Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations

D. P. Kuttichira, Ashfaqur Rahman, Lipo Wang, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting

Ashfaqur Rahman, Yifan Zhang, J. Dabrowski, 2020, ICONIP.

Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-step-ahead Solar Power Forecasting

Irena Koprinska, Mashud Rana, Ashfaqur Rahman, 2019, ICANN.

One Pass Outlier Detection for Streaming Categorical Data

Swee Chuan Tan, Ashfaqur Rahman, Si Hao Yip, 2013 .

Ensemble classifier generation using non-uniform layered clustering and Genetic Algorithm

Ashfaqur Rahman, Brijesh Verma, Ashfaqur Rahman, 2013, Knowl. Based Syst..

Cluster-Oriented Ensemble Classifier: Impact of Multicluster Characterization on Ensemble Classifier Learning

Ashfaqur Rahman, Brijesh Verma, Ashfaqur Rahman, 2012, IEEE Transactions on Knowledge and Data Engineering.

Identification of mature grape bunches using image processing and computational intelligence methods

Ashfaqur Rahman, Andrew D. Hellicar, Andrew D. Hellicar, 2014, 2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP).

Machine learning approach for pooled DNA sample calibration

Daniel V. Smith, Andrew D. Hellicar, Ashfaqur Rahman, 2015, BMC Bioinformatics.

A hierarchical learning approach to calibrate allele frequencies for SNP based genotyping of DNA pools

Ashfaqur Rahman, Ulrich Engelke, Daniel V. Smith, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Personalising pollution exposure estimates using wearable activity sensors

Yan Wang, Vijay Sivaraman, Ashfaqur Rahman, 2014, 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

Mobile Malware Detection: An Analysis of Deep Learning Model

Iqbal Gondal, Joarder Kamruzzaman, Tasadduq Imam, 2019, 2019 IEEE International Conference on Industrial Technology (ICIT).

Allele frequency calibration for SNP based genotyping of DNA pools: A regression based local-global error fusion method

Ashfaqur Rahman, Daniel V. Smith, Andrew D. Hellicar, 2015, Comput. Biol. Medicine.

Convolutional Neural Network for Time Series Cattle Behaviour Classification

Ashfaqur Rahman, Kasirat Turfi Kasfi, Andrew Hellicar, 2016, TSAA '16.

An automatic quality evaluation procedure for third-party daily rainfall observations and its application over Australia

Q. Shao, Ming Li, Ashfaqur Rahman, 2023, Stochastic Environmental Research and Risk Assessment.

Sequence-to-Sequence Imputation of Missing Sensor Data pdf

Joel Janek Dabrowski, Ashfaqur Rahman, Ashfaqur Rahman, 2019, Australasian Conference on Artificial Intelligence.

Cluster Based Ensemble Classifier Generation by Joint Optimization of accuracy and Diversity

ASHFAQUR RAHMAN, BRIJESH VERMA, Ashfaqur Rahman, 2013, Int. J. Comput. Intell. Appl..

Influence of unstable patterns in layered cluster oriented ensemble classifier

Ashfaqur Rahman, Brijesh Verma, Ashfaqur Rahman, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

An operational framework to automatically evaluate the quality of weather observations from third-party stations

Q. Shao, Ming Li, Ashfaqur Rahman, 2022, MODSIM2023, 25th International Congress on Modelling and Simulation..

Occlusion Handling in Object Detection

Farjana Z. Eishita, Ashfaqur Rahman, Salahuddin Azad, 2012 .

A Temporal Texture Characterization Technique Using Block-Based Approximated Motion Measure

Ashfaqur Rahman, M. Manzur Murshed, Ashfaqur Rahman, 2007, IEEE Transactions on Circuits and Systems for Video Technology.

Energy-Delay Co-optimization of Resource Allocation for Robotic Services in Cloudlet Infrastructure

Jiong Jin, Ashfaqur Rahman, Mahbuba Afrin, 2018, ICSOC.