Ashfaqur Rahman

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 55

Top Venues

CoRR

Comput. Electron. Agric.

IJCNN

PAKDD (Workshops)

Publications

Mahbuba Afrin, Jiong Jin, Ashfaqur Rahman, Shi Li, Yu-Chu Tian, Yan Li
Dynamic Task Allocation for Robotic Edge System Resilience Using Deep Reinforcement Learning. IEEE Trans. Syst. Man Cybern. Syst. 54 (3) (2024)
Mashud Rana, Ashfaqur Rahman, Daniel V. Smith
A Semi-supervised Approach for Activity Recognition from Indoor Trajectory Data. CoRR (2023)
Joel Janek Dabrowski, Ashfaqur Rahman
Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning. IJCNN (2023)
Deepthi Praveenlal Kuttichira, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang
Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations. IJCNN (2023)
Deepthi Praveenlal Kuttichira, Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang, Abdul Sattar
Neural Network Feature Explanation Using Neuron Activation Rate Based Bipartite Graph. IVCNZ (2023)
Mashud Rana, Ashfaqur Rahman, Mahathir Almashor, John McCulloch, Subbu Sethuvenkatraman
Automatic Classification of Sensors in Buildings: Learning from Time Series Data. AI (1) (2023)
Mahathir Almashor, Mashud Rana, John McCulloch, Ashfaqur Rahman, Subbu Sethuvenkatraman
What's The Point: AutoEncoding Building Point Names. BuildSys@SenSys (2023)
Joel Janek Dabrowski, Ashfaqur Rahman
Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning. CoRR (2023)
Deepthi Praveenlal Kuttichira, Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang
A Novel Explainable Deep Learning Model with Class Specific Features. IVCNZ (2022)
Merlijne Geurts, Jeroen H. Hogema, Emilia Silvas, Jan Souman, Ashfaqur Rahman, Johannes Hiller
Evaluating the Quality of Lane Change Event Detection: Effect of Situational Variables. VEHITS (2022)
Mahbuba Afrin, Jiong Jin, Ashfaqur Rahman, Andrea Gasparri, Yu-Chu Tian, Ambarish Kulkarni
Robotic Edge Resource Allocation for Agricultural Cyber-Physical System. IEEE Trans. Netw. Sci. Eng. 9 (6) (2022)
Mingze Xi, Ashfaqur Rahman, Chuong Nguyen, Stuart Arnold, John McCulloch
Smart Headset, Computer Vision and Machine Learning for Efficient Prawn Farm Management. CoRR (2022)
Joel Janek Dabrowski, Ashfaqur Rahman, Andrew D. Hellicar, Mashud Rana, Stuart Arnold
Deep Learning for Prawn Farming - Forecasting and Anomaly Detection. PAKDD (3) (2022)
Joel Janek Dabrowski, Ashfaqur Rahman, Andrew D. Hellicar, Mashud Rana, Stuart Arnold
Deep Learning for Prawn Farming: Forecasting and Anomaly Detection. CoRR (2022)
Peter Baumgartner, Daniel V. Smith, Mashud Rana, Reena Kapoor, Elena Tartaglia, Andreas Schutt, Ashfaqur Rahman, John Taylor, Simon Dunstall
Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective. CoRR (2022)
Mahbuba Afrin, Jiong Jin, Akhlaqur Rahman, Ashfaqur Rahman, Jiafu Wan, Ekram Hossain
Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey. CoRR (2021)
Mahbub E. Khoda, Joarder Kamruzzaman, Iqbal Gondal, Tasadduq Imam, Ashfaqur Rahman
Malware detection in edge devices with fuzzy oversampling and dynamic class weighting. Appl. Soft Comput. 112 (2021)
Mahbuba Afrin, Jiong Jin, Akhlaqur Rahman, Ashfaqur Rahman, Jiafu Wan, Ekram Hossain
Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey. IEEE Commun. Surv. Tutorials 23 (2) (2021)
Joel Janek Dabrowski, Johan Pieter de Villiers, Ashfaqur Rahman, Conrad Beyers
Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction. CoRR (2020)
Joel Janek Dabrowski, Ashfaqur Rahman, Daniel Edward Pagendam, Andrew George
Enforcing mean reversion in state space models for prawn pond water quality forecasting. Comput. Electron. Agric. 168 (2020)
Joel Janek Dabrowski, Yi-Fan Zhang, Ashfaqur Rahman
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting. CoRR (2020)
Mashud Rana, Ashfaqur Rahman, Daniel Hugo, John McCulloch, Andrew D. Hellicar
Investigating data-driven approaches to understand the interaction between water quality and physiological response of sentinel oysters in natural environment. Comput. Electron. Agric. 175 (2020)
Joel Janek Dabrowski, Ashfaqur Rahman
Sequence-to-Sequence Imputation of Missing Sensor Data. CoRR (2020)
Mahbub E. Khoda, Joarder Kamruzzaman, Iqbal Gondal, Tasadduq Imam, Ashfaqur Rahman
Mobile Malware Detection with Imbalanced Data using a Novel Synthetic Oversampling Strategy and Deep Learning. WiMob (2020)
Joel Janek Dabrowski, Yi-Fan Zhang, Ashfaqur Rahman
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-step-Ahead Time-Series Forecasting. ICONIP (3) (2020)
Mashud Rana, Ashfaqur Rahman, Jiong Jin
A Data-driven Approach for Forecasting State Level Aggregated Solar Photovoltaic Power Production. IJCNN (2020)
Ke Hu, Ashfaqur Rahman, Hassan Habibi Gharakheili, Vijay Sivaraman
HazeDose: Design and Analysis of a Personal Air Pollution Inhaled Dose Estimation System using Wearable Sensors. CoRR (2020)
Mahbub E. Khoda, Joarder Kamruzzaman, Iqbal Gondal, Tasadduq Imam, Ashfaqur Rahman
Mobile Malware Detection: An Analysis of Deep Learning Model. ICIT (2019)
Akhlaqur Rahman, Jiong Jin, Antonio L. Cricenti, Ashfaqur Rahman, Ambarish Kulkarni
Communication-Aware Cloud Robotic Task Offloading With On-Demand Mobility for Smart Factory Maintenance. IEEE Trans. Ind. Informatics 15 (5) (2019)
Akhlaqur Rahman, Jiong Jin, Ashfaqur Rahman, Antonio L. Cricenti, Mahbuba Afrin, Yu-ning Dong
Energy-efficient optimal task offloading in cloud networked multi-robot systems. Comput. Networks 160 (2019)
Irena Koprinska, Mashud Rana, Ashfaqur Rahman
Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-step-ahead Solar Power Forecasting. ICANN (4) (2019)
Joel Janek Dabrowski, Johan Pieter de Villiers, Ashfaqur Rahman, Conrad Beyers
Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction. ICONIP (4) (2019)
Ashfaqur Rahman, Stuart Arnold, Joel Janek Dabrowski
Identification of variables affecting production outcome in prawn ponds: A machine learning approach. Comput. Electron. Agric. 156 (2019)
Mahbuba Afrin, Jiong Jin, Ashfaqur Rahman, Yu-Chu Tian, Ambarish Kulkarni
Multi-objective resource allocation for Edge Cloud based robotic workflow in smart factory. Future Gener. Comput. Syst. 97 (2019)
Mahbub E. Khoda, Tasadduq Imam, Joarder Kamruzzaman, Iqbal Gondal, Ashfaqur Rahman
Selective Adversarial Learning for Mobile Malware. TrustCom/BigDataSE (2019)
Joel Janek Dabrowski, Ashfaqur Rahman
Sequence-to-Sequence Imputation of Missing Sensor Data. Australasian Conference on Artificial Intelligence (2019)
Joel Janek Dabrowski, Ashfaqur Rahman, Andrew George, Stuart Arnold, John McCulloch
State Space Models for Forecasting Water Quality Variables: An Application in Aquaculture Prawn Farming. KDD (2018)
Mahbuba Afrin, Jiong Jin, Ashfaqur Rahman
Energy-Delay Co-optimization of Resource Allocation for Robotic Services in Cloudlet Infrastructure. ICSOC (2018)
Mashud Rana, Ashfaqur Rahman, Liwan H. Liyanage, Mohammed Nazim Uddin
Comparison and Sensitivity Analysis of Methods for Solar PV Power Prediction. PAKDD (Workshops) (2018)
Sumaira Tasnim, Ashfaqur Rahman, Amanullah Maung Than Oo, Md. Enamul Haque
Wind power prediction in new stations based on knowledge of existing Stations: A cluster based multi source domain adaptation approach. Knowl. Based Syst. 145 (2018)
Akhlaqur Rahman, Jiong Jin, Antonio L. Cricenti, Ashfaqur Rahman, Manoj Panda
Motion and Connectivity Aware Offloading in Cloud Robotics via Genetic Algorithm. GLOBECOM (2017)
Robert Dunne, David Henry, Richard Rawnsley, Ashfaqur Rahman
Behavior Classification of Dairy Cows Fitted with GPS Collars. PAKDD (Workshops) (2017)
Sumaira Tasnim, Ashfaqur Rahman, Amanullah Maung Than Oo, Md. Enamul Haque
Wind Power Prediction Using Cluster Based Ensemble Regression. Int. J. Comput. Intell. Appl. 16 (4) (2017)
Zakaria Mhammedi, Andrew D. Hellicar, Ashfaqur Rahman, James Bailey
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections. ICML (2017)
Sajib Roy, Robert C. Murphree, Affan Abbasi, Ashfaqur Rahman, Shamim Ahmed, James Austin Gattis, Matt Francis, Jim Holmes, H. Alan Mantooth, Jia Di
A SiC CMOS Digitally Controlled PWM Generator for High-Temperature Applications. IEEE Trans. Ind. Electron. 64 (10) (2017)
Mohammad Saidur Rahman, Ashfaqur Rahman
Channel Transition Invariant Fast Broadcasting Scheme. CoRR (2017)
Ashfaqur Rahman, Philip Smethurst, Michael Attard, Rob Dunne
Thermal Stratification Prediction at Lake Trevallyn. PAKDD (Workshops) (2017)
Md. Sumon Shahriar, Daniel V. Smith, Ashfaqur Rahman, Mark Freeman, James Hills, Richard Rawnsley, David Henry, Greg Bishop-Hurley
Detecting heat events in dairy cows using accelerometers and unsupervised learning. Comput. Electron. Agric. 128 (2016)
Akhlaqur Rahman, Jiong Jin, Antonio L. Cricenti, Ashfaqur Rahman, Dong Yuan
A Cloud Robotics Framework of Optimal Task Offloading for Smart City Applications. GLOBECOM (2016)
Zakaria Mhammedi, Andrew D. Hellicar, Ashfaqur Rahman, James Bailey
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections. CoRR (2016)
Daniel V. Smith, Ashfaqur Rahman, Greg Bishop-Hurley, James Hills, Md. Sumon Shahriar, David Henry, Richard Rawnsley
Behavior classification of cows fitted with motion collars: Decomposing multi-class classification into a set of binary problems. Comput. Electron. Agric. 131 (2016)
Ashfaqur Rahman, Daniel V. Smith, James Hills, Greg Bishop-Hurley, David Henry, Richard Rawnsley
A comparison of autoencoder and statistical features for cattle behaviour classification. IJCNN (2016)
Akhlaqur Rahman, Jiong Jin, Antonio L. Cricenti, Ashfaqur Rahman, Marimuthu Palaniswami, Tie Luo
Cloud-Enhanced Robotic System for Smart City Crowd Control. J. Sens. Actuator Networks 5 (4) (2016)
Hamidu Abdel-Fatao, Jiuyong Li, Jixue Liu, Ashfaqur Rahman
An Effective Spatio-Temporal Approach for Predicting Future Semantic Locations. ADC (2016)
Ke Hu, Vijay Sivaraman, Hari Bhrugubanda, Shiying Kang, Ashfaqur Rahman
SVR based dense air pollution estimation model using static and wireless sensor network. IEEE SENSORS (2016)
Andrew D. Hellicar, Ashfaqur Rahman, Daniel V. Smith, John M. Henshall
Machine learning approach for pooled DNA sample calibration. BMC Bioinform. 16 (2015)
Ashfaqur Rahman, Claire D'Este
Shellfish farm closure prediction and cause identification using machine learning methods. Comput. Electron. Agric. 110 (2015)
Ashfaqur Rahman, Andrew D. Hellicar, Daniel V. Smith, John M. Henshall
Allele frequency calibration for SNP based genotyping of DNA pools: A regression based local-global error fusion method. Comput. Biol. Medicine 61 (2015)
Ashfaqur Rahman, Andrew D. Hellicar
Identification of mature grape bunches using image processing and computational intelligence methods. CIMSIVP (2014)
Ke Hu, Timothy Davison, Ashfaqur Rahman, Vijay Sivaraman
Air Pollution Exposure Estimation and Finding Association with Human Activity using Wearable Sensor Network. MLSDA@PRICAI (2014)
Ke Hu, Yan Wang, Ashfaqur Rahman, Vijay Sivaraman
Personalising pollution exposure estimates using wearable activity sensors. ISSNIP (2014)
Andrew D. Hellicar, Ashfaqur Rahman, Daniel V. Smith, Greg Smith, John McCulloch
A neural network and SOM based approach to analyse periodic signals: Application to Oyster heart-rate data. IJCNN (2014)
Ashfaqur Rahman, Qianyu Zhang, Claire D'Este
A Multiple Classifier System for Predicting with missing Sensor Values. Adv. Data Sci. Adapt. Anal. 6 (2-3) (2014)
Andrew D. Hellicar, Daniel V. Smith, Ashfaqur Rahman, Ulrich Engelke, John M. Henshall
A hierarchical learning approach to calibrate allele frequencies for SNP based genotyping of DNA pools. IJCNN (2014)
Ke Hu, Ashfaqur Rahman, Vijay Sivaraman, Pradeep Ray
Improving air pollution forecast with ubiquitous mobile sensor network. ICUFN (2014)
Quazi Mamun, Ashfaqur Rahman
A Robust Data Gathering Technique for Large Scaled Wireless Sensor Networks. J. Networks 9 (9) (2014)
Sumaira Tasnim, Ashfaqur Rahman, G. M. Shafiullah, Amanullah Maung Than Oo, Alex Stojcevski
A time series ensemble method to predict wind power. CIASG (2014)
Greg Bishop-Hurley, Dave Henry, Daniel V. Smith, Ritaban Dutta, James Hills, Richard Rawnsley, Andrew D. Hellicar, Greg P. Timms, Ahsan Morshed, Ashfaqur Rahman, Claire D'Este, Yanfeng Shu
An investigation of cow feeding behavior using motion sensors. I2MTC (2014)
Claire D'Este, Chris Sharman, Ashfaqur Rahman
Distributed Feature Selection with Big Sensor Data. MLSDA@PRICAI (2014)
Claire D'Este, Greg P. Timms, Alison Turnbull, Ashfaqur Rahman
Ensemble aggregation methods for relocating models of rare events. Eng. Appl. Artif. Intell. 34 (2014)
Claire D'Este, Ashfaqur Rahman
Similarity Weighted Ensembles for Relocating Models of Rare Events. MCS (2013)
Ashfaqur Rahman, Brijesh K. Verma
Cluster oriented ensemble classifiers using multi-objective evolutionary algorithm. IJCNN (2013)
Ashfaqur Rahman, Brijesh K. Verma
Cluster Based Ensemble Classifier Generation by Joint Optimization of accuracy and Diversity. Int. J. Comput. Intell. Appl. 12 (4) (2013)
Md. Sumon Shahriar, Ashfaqur Rahman
Spatial-temporal prediction of algal bloom. ICNC (2013)
Ashfaqur Rahman, Daniel V. Smith, Greg P. Timms
Multiple classifier system for automated quality assessment of marine sensor data. ISSNIP (2013)
Ashfaqur Rahman
Benthic Habitat Mapping from Seabed Images using Ensemble of Color, Texture, and Edge Features. Int. J. Comput. Intell. Syst. 6 (6) (2013)
Md. Sumon Shahriar, Ashfaqur Rahman, Daniel V. Smith
Applying context in appliance load identification. ICNC (2013)
Qianyu Zhang, Ashfaqur Rahman, Claire D'Este
Impute vs. Ignore: Missing values for prediction. IJCNN (2013)
Ashfaqur Rahman, Claire D'Este, Greg P. Timms
Dealing with missing sensor values in predicting shellfish farm closure. ISSNIP (2013)
Ashfaqur Rahman, Brijesh K. Verma
Effect of ensemble classifier composition on offline cursive character recognition. Inf. Process. Manag. 49 (4) (2013)
Ashfaqur Rahman, Brijesh K. Verma
Cluster-based ensemble of classifiers. Expert Syst. J. Knowl. Eng. 30 (3) (2013)
Ashfaqur Rahman, Md. Sumon Shahriar
Algae Growth Prediction through Identification of Influential Environmental Variables: a Machine Learning Approach. Int. J. Comput. Intell. Appl. 12 (2) (2013)
Ashfaqur Rahman, Ritaban Dutta, Daniel V. Smith
Exploring mineral domains with genetic algorithm. IJCNN (2013)
Ashfaqur Rahman, Brijesh K. Verma
Ensemble classifier generation using non-uniform layered clustering and Genetic Algorithm. Knowl. Based Syst. 43 (2013)
Ashfaqur Rahman, Claire D'Este, John McCulloch
Ensemble Feature Ranking for Shellfish Farm Closure Cause Identification. MLSDA@AUS-AI (2013)
Claire D'Este, Ashfaqur Rahman, Alison Turnbull
Predicting Shellfish Farm Closures with Class Balancing Methods. Australasian Conference on Artificial Intelligence (2012)
Ashfaqur Rahman, Brijesh K. Verma
Influence of unstable patterns in layered cluster oriented ensemble classifier. IJCNN (2012)
Brijesh K. Verma, Ashfaqur Rahman
Cluster-Oriented Ensemble Classifier: Impact of Multicluster Characterization on Ensemble Classifier Learning. IEEE Trans. Knowl. Data Eng. 24 (4) (2012)
Ashfaqur Rahman, Brijesh K. Verma, David R. Stockwell
An hierarchical approach towards road image segmentation. IJCNN (2012)
Ashfaqur Rahman, Brijesh K. Verma
Ensemble classifier composition: Impact on feature based offline cursive character recognition. IJCNN (2011)
Mohammad Saiedur Rahaman, Ashfaqur Rahman, Sumaira Tasnim
An adaptive harmonic broadcasting scheme with download and playback synchronisation for video on demand. Int. J. Multim. Intell. Secur. 2 (1) (2011)
Ashfaqur Rahman, Brijesh K. Verma
Novel Layered Clustering-Based Approach for Generating Ensemble of Classifiers. IEEE Trans. Neural Networks 22 (5) (2011)
Ashfaqur Rahman, Brijesh K. Verma
A novel ensemble classifier approach using weak classifier learning on overlapping clusters. IJCNN (2010)
Ashfaqur Rahman, Brijesh K. Verma, Xin Yao
Non-uniform Layered Clustering for Ensemble Classifier Generation and Optimality. ICONIP (1) (2010)
Ashfaqur Rahman, M. Manzur Murshed
Detection of Multiple Dynamic Textures Using Feature Space Mapping. IEEE Trans. Circuits Syst. Video Technol. 19 (5) (2009)
Ashfaqur Rahman, M. Manzur Murshed
Feature Weighting and Retrieval Methods for Dynamic Texture Motion Features. Int. J. Comput. Intell. Syst. 2 (1) (2009)
Ashfaqur Rahman, Md. Aynul Haque, Md. Shapon Talukder
Location finding using computer vision based approach. Int. J. Inf. Commun. Technol. 1 (3/4) (2008)
Ashfaqur Rahman, Abdus Salam, Mahfuzul Islam, Partha Sarker
An Image Based Approach to Compute Object Distance. Int. J. Comput. Intell. Syst. 1 (4) (2008)
Khalid Zaman Bijon, Ahmed Hasan, Ashfaqur Rahman, M. Manzur Murshed
Periodicity estimation of Dynamic Textures. Int. J. Inf. Commun. Technol. 1 (3/4) (2008)
Ashfaqur Rahman, M. Manzur Murshed
Dynamic Texture Synthesis Using Motion Distribution Statistics. J. Res. Pract. Inf. Technol. 40 (2) (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ashfaqur Rahman