Ashfaqur Rahman

116 papers A* 2A 1B 17C 1Misc 5Journal 55Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A novel neuron efficiency metric for enhancing deep neural network pruning. Neural Comput. Appl. Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang
2026	J	`jnl`	Unified graph-based framework for visual explainability in convolutional neural networks. Inf. Sci. Basim Azam, Pubudu Sanjeewani, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang
2025	J	`jnl`	A Novel Non-iterative Training Method for CNN Classifiers Using Gram-Schmidt Process. Neural Process. Lett. Basim Azam, Deepthi Praveenlal Kuttichira, Pubudu Sanjeewani, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang
2025	—	`conf`	Deep Surrogate Model to Predict the Effectiveness of Substrates for Absorbing CO PAKDD (Workshops) Nina Ghanbari Ghooshchi, Weihong Wang, Ashfaqur Rahman
2025	—	`conf`	Inferring Sensor Metadata Based on Machine Learning for Portable Building Applications. PAKDD (Workshops) Ashfaqur Rahman, Mashud Rana, Mahathir Almashor, John McCulloch
2024	J	`jnl`	Dynamic Task Allocation for Robotic Edge System Resilience Using Deep Reinforcement Learning. IEEE Trans. Syst. Man Cybern. Syst. Mahbuba Afrin, Jiong Jin, Ashfaqur Rahman, Shi Li, Yu-Chu Tian, Yan Li
2024	J	`jnl`	Explainable Image Recognition With Graph-Based Feature Extraction. IEEE Access Basim Azam, Deepthi Praveenlal Kuttichira, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang
2024	J	`jnl`	Hierarchical Semi-Supervised Approach for Classifying Activities of Workers Utilising Indoor Trajectory Data. Internet Things Mashud Rana, Ashfaqur Rahman, Daniel V. Smith
2024	—	`conf`	Optimizing CNNs with Gram Schmidt Non-iterative Learning for Image Recognition. ICONIP (3) Deepthi Praveenlal Kuttichira, Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang
2023	J	`jnl`	A Semi-supervised Approach for Activity Recognition from Indoor Trajectory Data. CoRR Mashud Rana, Ashfaqur Rahman, Daniel V. Smith
2023	—	`conf`	Automatic Classification of Sensors in Buildings: Learning from Time Series Data. AI (1) Mashud Rana, Ashfaqur Rahman, Mahathir Almashor, John McCulloch, Subbu Sethuvenkatraman
2023	B	`conf`	Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning. IJCNN Joel Janek Dabrowski, Ashfaqur Rahman
2023	J	`jnl`	Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning. CoRR Joel Janek Dabrowski, Ashfaqur Rahman
2023	Misc	`conf`	Neural Network Feature Explanation Using Neuron Activation Rate Based Bipartite Graph. IVCNZ Deepthi Praveenlal Kuttichira, Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang, Abdul Sattar
2023	B	`conf`	Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations. IJCNN Deepthi Praveenlal Kuttichira, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang
2023	—	`conf`	What's The Point: AutoEncoding Building Point Names. BuildSys Mahathir Almashor, Mashud Rana, John McCulloch, Ashfaqur Rahman, Subbu Sethuvenkatraman
2022	Misc	`conf`	A Novel Explainable Deep Learning Model with Class Specific Features. IVCNZ Deepthi Praveenlal Kuttichira, Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang
2022	—	`conf`	Deep Learning for Prawn Farming - Forecasting and Anomaly Detection. PAKDD (3) Joel Janek Dabrowski, Ashfaqur Rahman, Andrew D. Hellicar, Mashud Rana, Stuart Arnold
2022	J	`jnl`	Deep Learning for Prawn Farming: Forecasting and Anomaly Detection. CoRR Joel Janek Dabrowski, Ashfaqur Rahman, Andrew D. Hellicar, Mashud Rana, Stuart Arnold
2022	C	`conf`	Evaluating the Quality of Lane Change Event Detection: Effect of Situational Variables. VEHITS Merlijne Geurts, Jeroen H. Hogema, Emilia Silvas, Jan L. Souman, Ashfaqur Rahman, Johannes Hiller
2022	J	`jnl`	Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective. CoRR Peter Baumgartner, Daniel V. Smith, Mashud Rana, Reena Kapoor, Elena Tartaglia, Andreas Schutt, Ashfaqur Rahman, John A. Taylor, Simon Dunstall
2022	J	`jnl`	Robotic Edge Resource Allocation for Agricultural Cyber-Physical System. IEEE Trans. Netw. Sci. Eng. Mahbuba Afrin, Jiong Jin, Ashfaqur Rahman, Andrea Gasparri, Yu-Chu Tian, Ambarish Kulkarni
2022	J	`jnl`	Smart Headset, Computer Vision and Machine Learning for Efficient Prawn Farm Management. CoRR Mingze Xi, Ashfaqur Rahman, Chuong Nguyen, Stuart Arnold, John McCulloch
2021	J	`jnl`	Malware detection in edge devices with fuzzy oversampling and dynamic class weighting. Appl. Soft Comput. Mahbub E. Khoda, Joarder Kamruzzaman, Iqbal Gondal, Tasadduq Imam, Ashfaqur Rahman
2021	J	`jnl`	Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey. IEEE Commun. Surv. Tutorials Mahbuba Afrin, Jiong Jin, Akhlaqur Rahman, Ashfaqur Rahman, Jiafu Wan, Ekram Hossain
2021	J	`jnl`	Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey. CoRR Mahbuba Afrin, Jiong Jin, Akhlaqur Rahman, Ashfaqur Rahman, Jiafu Wan, Ekram Hossain
2020	B	`conf`	A Data-driven Approach for Forecasting State Level Aggregated Solar Photovoltaic Power Production. IJCNN Mashud Rana, Ashfaqur Rahman, Jiong Jin
2020	J	`jnl`	Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction. CoRR Joel Janek Dabrowski, Johan Pieter de Villiers, Ashfaqur Rahman, Conrad Beyers
2020	J	`jnl`	Enforcing mean reversion in state space models for prawn pond water quality forecasting. Comput. Electron. Agric. Joel Janek Dabrowski, Ashfaqur Rahman, Daniel Edward Pagendam, Andrew George
2020	J	`jnl`	ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting. CoRR Joel Janek Dabrowski, Yi-Fan Zhang, Ashfaqur Rahman
2020	—	`conf`	ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-step-Ahead Time-Series Forecasting. ICONIP (3) Joel Janek Dabrowski, Yi-Fan Zhang, Ashfaqur Rahman
2020	J	`jnl`	HazeDose: Design and Analysis of a Personal Air Pollution Inhaled Dose Estimation System using Wearable Sensors. CoRR Ke Hu, Ashfaqur Rahman, Hassan Habibi Gharakheili, Vijay Sivaraman
2020	—	`ed.`	Image and Video Technology - PSIVT 2019 International Workshops, Sydney, NSW, Australia, November 18-22, 2019, Revised Selected Papers PSIVT Workshops Joel Janek Dabrowski, Ashfaqur Rahman, Manoranjan Paul
2020	J	`jnl`	Investigating data-driven approaches to understand the interaction between water quality and physiological response of sentinel oysters in natural environment. Comput. Electron. Agric. Mashud Rana, Ashfaqur Rahman, Daniel Hugo, John McCulloch, Andrew D. Hellicar
2020	B	`conf`	Mobile Malware Detection with Imbalanced Data using a Novel Synthetic Oversampling Strategy and Deep Learning. WiMob Mahbub E. Khoda, Joarder Kamruzzaman, Iqbal Gondal, Tasadduq Imam, Ashfaqur Rahman
2020	J	`jnl`	Sequence-to-Sequence Imputation of Missing Sensor Data. CoRR Joel Janek Dabrowski, Ashfaqur Rahman
2019	J	`jnl`	Communication-Aware Cloud Robotic Task Offloading With On-Demand Mobility for Smart Factory Maintenance. IEEE Trans. Ind. Informatics Akhlaqur Rahman, Jiong Jin, Antonio L. Cricenti, Ashfaqur Rahman, Ambarish Kulkarni
2019	—	`conf`	Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction. ICONIP (4) Joel Janek Dabrowski, Johan Pieter de Villiers, Ashfaqur Rahman, Conrad Beyers
2019	—	`conf`	Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-step-ahead Solar Power Forecasting. ICANN (4) Irena Koprinska, Mashud Rana, Ashfaqur Rahman
2019	J	`jnl`	Energy-efficient optimal task offloading in cloud networked multi-robot systems. Comput. Networks Akhlaqur Rahman, Jiong Jin, Ashfaqur Rahman, Antonio L. Cricenti, Mahbuba Afrin, Yu-Ning Dong
2019	J	`jnl`	Identification of variables affecting production outcome in prawn ponds: A machine learning approach. Comput. Electron. Agric. Ashfaqur Rahman, Stuart Arnold, Joel Janek Dabrowski
2019	—	`conf`	Mobile Malware Detection: An Analysis of Deep Learning Model. ICIT Mahbub E. Khoda, Joarder Kamruzzaman, Iqbal Gondal, Tasadduq Imam, Ashfaqur Rahman
2019	J	`jnl`	Multi-objective resource allocation for Edge Cloud based robotic workflow in smart factory. Future Gener. Comput. Syst. Mahbuba Afrin, Jiong Jin, Ashfaqur Rahman, Yu-Chu Tian, Ambarish Kulkarni
2019	—	`conf`	Selective Adversarial Learning for Mobile Malware. TrustCom/BigDataSE Mahbub E. Khoda, Tasadduq Imam, Joarder Kamruzzaman, Iqbal Gondal, Ashfaqur Rahman
2019	—	`conf`	Sequence-to-Sequence Imputation of Missing Sensor Data. Australasian Conference on Artificial Intelligence Joel Janek Dabrowski, Ashfaqur Rahman
2018	—	`conf`	Comparison and Sensitivity Analysis of Methods for Solar PV Power Prediction. PAKDD (Workshops) Mashud Rana, Ashfaqur Rahman, Liwan H. Liyanage, Mohammed Nazim Uddin
2018	A	`conf`	Energy-Delay Co-optimization of Resource Allocation for Robotic Services in Cloudlet Infrastructure. ICSOC Mahbuba Afrin, Jiong Jin, Ashfaqur Rahman
2018	A*	`conf`	State Space Models for Forecasting Water Quality Variables: An Application in Aquaculture Prawn Farming. KDD Joel Janek Dabrowski, Ashfaqur Rahman, Andrew George, Stuart Arnold, John McCulloch
2018	J	`jnl`	Wind power prediction in new stations based on knowledge of existing Stations: A cluster based multi source domain adaptation approach. Knowl. Based Syst. Sumaira Tasnim, Ashfaqur Rahman, Amanullah Maung Than Oo, Md. Enamul Haque
2017	J	`jnl`	A SiC CMOS Digitally Controlled PWM Generator for High-Temperature Applications. IEEE Trans. Ind. Electron. Sajib Roy, Robert C. Murphree, Affan Abbasi, Ashfaqur Rahman, Shamim Ahmed, James Austin Gattis, Matt Francis, Jim Holmes, H. Alan Mantooth, Jia Di
2017	—	`conf`	Behavior Classification of Dairy Cows Fitted with GPS Collars. PAKDD (Workshops) Robert Dunne, David Henry, Richard Rawnsley, Ashfaqur Rahman
2017	J	`jnl`	Channel Transition Invariant Fast Broadcasting Scheme. CoRR Mohammad Saidur Rahman, Ashfaqur Rahman
2017	A*	`conf`	Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections. ICML Zakaria Mhammedi, Andrew D. Hellicar, Ashfaqur Rahman, James Bailey
2017	B	`conf`	Motion and Connectivity Aware Offloading in Cloud Robotics via Genetic Algorithm. GLOBECOM Akhlaqur Rahman, Jiong Jin, Antonio L. Cricenti, Ashfaqur Rahman, Manoj Panda
2017	—	`conf`	Thermal Stratification Prediction at Lake Trevallyn. PAKDD (Workshops) Ashfaqur Rahman, Philip Smethurst, Michael Attard, Rob Dunne
2017	J	`jnl`	Wind Power Prediction Using Cluster Based Ensemble Regression. Int. J. Comput. Intell. Appl. Sumaira Tasnim, Ashfaqur Rahman, Amanullah Maung Than Oo, Md. Enamul Haque
2016	B	`conf`	A Cloud Robotics Framework of Optimal Task Offloading for Smart City Applications. GLOBECOM Akhlaqur Rahman, Jiong Jin, Antonio L. Cricenti, Ashfaqur Rahman, Dong Yuan
2016	B	`conf`	A comparison of autoencoder and statistical features for cattle behaviour classification. IJCNN Ashfaqur Rahman, Daniel V. Smith, James Hills, Greg Bishop-Hurley, David Henry, Richard Rawnsley
2016	Misc	`conf`	An Effective Spatio-Temporal Approach for Predicting Future Semantic Locations. ADC Hamidu Abdel-Fatao, Jiuyong Li, Jixue Liu, Ashfaqur Rahman
2016	J	`jnl`	Behavior classification of cows fitted with motion collars: Decomposing multi-class classification into a set of binary problems. Comput. Electron. Agric. Daniel V. Smith, Ashfaqur Rahman, Greg Bishop-Hurley, James Hills, Md. Sumon Shahriar, David Henry, Richard Rawnsley
2016	J	`jnl`	Cloud-Enhanced Robotic System for Smart City Crowd Control. J. Sens. Actuator Networks Akhlaqur Rahman, Jiong Jin, Antonio L. Cricenti, Ashfaqur Rahman, Marimuthu Palaniswami, Tie Luo
2016	J	`jnl`	Detecting heat events in dairy cows using accelerometers and unsupervised learning. Comput. Electron. Agric. Md. Sumon Shahriar, Daniel V. Smith, Ashfaqur Rahman, Mark Freeman, James Hills, Richard Rawnsley, David Henry, Greg Bishop-Hurley
2016	J	`jnl`	Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections. CoRR Zakaria Mhammedi, Andrew D. Hellicar, Ashfaqur Rahman, James Bailey
2016	—	`conf`	SVR based dense air pollution estimation model using static and wireless sensor network. IEEE SENSORS Ke Hu, Vijay Sivaraman, Hari Bhrugubanda, Shiying Kang, Ashfaqur Rahman
2015	J	`jnl`	Allele frequency calibration for SNP based genotyping of DNA pools: A regression based local-global error fusion method. Comput. Biol. Medicine Ashfaqur Rahman, Andrew D. Hellicar, Daniel V. Smith, John M. Henshall
2015	J	`jnl`	Machine learning approach for pooled DNA sample calibration. BMC Bioinform. Andrew D. Hellicar, Ashfaqur Rahman, Daniel V. Smith, John M. Henshall
2015	J	`jnl`	Shellfish farm closure prediction and cause identification using machine learning methods. Comput. Electron. Agric. Ashfaqur Rahman, Claire D'Este
2014	J	`jnl`	A Multiple Classifier System for Predicting with missing Sensor Values. Adv. Data Sci. Adapt. Anal. Ashfaqur Rahman, Qianyu Zhang, Claire D'Este
2014	J	`jnl`	A Robust Data Gathering Technique for Large Scaled Wireless Sensor Networks. J. Networks Quazi Mamun, Ashfaqur Rahman
2014	B	`conf`	A hierarchical learning approach to calibrate allele frequencies for SNP based genotyping of DNA pools. IJCNN Andrew D. Hellicar, Daniel V. Smith, Ashfaqur Rahman, Ulrich Engelke, John M. Henshall
2014	B	`conf`	A neural network and SOM based approach to analyse periodic signals: Application to Oyster heart-rate data. IJCNN Andrew D. Hellicar, Ashfaqur Rahman, Daniel V. Smith, Greg Smith, John McCulloch
2014	—	`conf`	A time series ensemble method to predict wind power. CIASG Sumaira Tasnim, Ashfaqur Rahman, G. M. Shafiullah, Amanullah Maung Than Oo, Alex Stojcevski
2014	—	`conf`	Air Pollution Exposure Estimation and Finding Association with Human Activity using Wearable Sensor Network. MLSDA@PRICAI Ke Hu, Timothy Davison, Ashfaqur Rahman, Vijay Sivaraman
2014	—	`conf`	An investigation of cow feeding behavior using motion sensors. I2MTC 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
2014	—	`conf`	Distributed Feature Selection with Big Sensor Data. MLSDA@PRICAI Claire D'Este, Chris Sharman, Ashfaqur Rahman
2014	J	`jnl`	Ensemble aggregation methods for relocating models of rare events. Eng. Appl. Artif. Intell. Claire D'Este, Greg P. Timms, Alison Turnbull, Ashfaqur Rahman
2014	—	`conf`	Identification of mature grape bunches using image processing and computational intelligence methods. CIMSIVP Ashfaqur Rahman, Andrew D. Hellicar
2014	—	`conf`	Improving air pollution forecast with ubiquitous mobile sensor network. ICUFN Ke Hu, Ashfaqur Rahman, Vijay Sivaraman, Pradeep Ray
2014	—	`conf`	Personalising pollution exposure estimates using wearable activity sensors. ISSNIP Ke Hu, Yan Wang, Ashfaqur Rahman, Vijay Sivaraman
2014	—	`ed.`	Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis, Gold Coast, Australia, QLD, Australia, December 2, 2014 MLSDA@PRICAI Ashfaqur Rahman, Jeremiah D. Deng, Jiuyong Li
2013	J	`jnl`	Algae Growth Prediction through Identification of Influential Environmental Variables: a Machine Learning Approach. Int. J. Comput. Intell. Appl. Ashfaqur Rahman, Md. Sumon Shahriar
2013	Misc	`conf`	Applying context in appliance load identification. ICNC Md. Sumon Shahriar, Ashfaqur Rahman, Daniel V. Smith
2013	J	`jnl`	Benthic Habitat Mapping from Seabed Images using Ensemble of Color, Texture, and Edge Features. Int. J. Comput. Intell. Syst. Ashfaqur Rahman
2013	J	`jnl`	Cluster Based Ensemble Classifier Generation by Joint Optimization of accuracy and Diversity. Int. J. Comput. Intell. Appl. Ashfaqur Rahman, Brijesh K. Verma
2013	B	`conf`	Cluster oriented ensemble classifiers using multi-objective evolutionary algorithm. IJCNN Ashfaqur Rahman, Brijesh K. Verma
2013	J	`jnl`	Cluster-based ensemble of classifiers. Expert Syst. J. Knowl. Eng. Ashfaqur Rahman, Brijesh K. Verma
2013	—	`conf`	Dealing with missing sensor values in predicting shellfish farm closure. ISSNIP Ashfaqur Rahman, Claire D'Este, Greg P. Timms
2013	J	`jnl`	Effect of ensemble classifier composition on offline cursive character recognition. Inf. Process. Manag. Ashfaqur Rahman, Brijesh K. Verma
2013	—	`conf`	Ensemble Feature Ranking for Shellfish Farm Closure Cause Identification. MLSDA@AUS-AI Ashfaqur Rahman, Claire D'Este, John McCulloch
2013	J	`jnl`	Ensemble classifier generation using non-uniform layered clustering and Genetic Algorithm. Knowl. Based Syst. Ashfaqur Rahman, Brijesh K. Verma
2013	B	`conf`	Exploring mineral domains with genetic algorithm. IJCNN Ashfaqur Rahman, Ritaban Dutta, Daniel V. Smith
2013	B	`conf`	Impute vs. Ignore: Missing values for prediction. IJCNN Qianyu Zhang, Ashfaqur Rahman, Claire D'Este
2013	—	`conf`	Multiple classifier system for automated quality assessment of marine sensor data. ISSNIP Ashfaqur Rahman, Daniel V. Smith, Greg P. Timms
2013	—	`conf`	Similarity Weighted Ensembles for Relocating Models of Rare Events. MCS Claire D'Este, Ashfaqur Rahman
2013	Misc	`conf`	Spatial-temporal prediction of algal bloom. ICNC Md. Sumon Shahriar, Ashfaqur Rahman
2012	B	`conf`	An hierarchical approach towards road image segmentation. IJCNN Ashfaqur Rahman, Brijesh K. Verma, David R. Stockwell
2012	J	`jnl`	Cluster-Oriented Ensemble Classifier: Impact of Multicluster Characterization on Ensemble Classifier Learning. IEEE Trans. Knowl. Data Eng. Brijesh K. Verma, Ashfaqur Rahman
2012	B	`conf`	Influence of unstable patterns in layered cluster oriented ensemble classifier. IJCNN Ashfaqur Rahman, Brijesh K. Verma
2012	—	`conf`	Predicting Shellfish Farm Closures with Class Balancing Methods. Australasian Conference on Artificial Intelligence Claire D'Este, Ashfaqur Rahman, Alison Turnbull
2011	J	`jnl`	An adaptive harmonic broadcasting scheme with download and playback synchronisation for video on demand. Int. J. Multim. Intell. Secur. Mohammad Saiedur Rahaman, Ashfaqur Rahman, Sumaira Tasnim
2011	B	`conf`	Ensemble classifier composition: Impact on feature based offline cursive character recognition. IJCNN Ashfaqur Rahman, Brijesh K. Verma
2011	J	`jnl`	Novel Layered Clustering-Based Approach for Generating Ensemble of Classifiers. IEEE Trans. Neural Networks Ashfaqur Rahman, Brijesh K. Verma
2010	B	`conf`	A novel ensemble classifier approach using weak classifier learning on overlapping clusters. IJCNN Ashfaqur Rahman, Brijesh K. Verma
2010	—	`conf`	Non-uniform Layered Clustering for Ensemble Classifier Generation and Optimality. ICONIP (1) Ashfaqur Rahman, Brijesh K. Verma, Xin Yao
2009	J	`jnl`	Detection of Multiple Dynamic Textures Using Feature Space Mapping. IEEE Trans. Circuits Syst. Video Technol. Ashfaqur Rahman, M. Manzur Murshed
2009	J	`jnl`	Feature Weighting and Retrieval Methods for Dynamic Texture Motion Features. Int. J. Comput. Intell. Syst. Ashfaqur Rahman, M. Manzur Murshed
2009	—	`ch.`	Quality of Service Support in Wireless Ad Hoc Networks. Guide to Wireless Ad Hoc Networks Musfiq Rahman, Ashfaqur Rahman
2008	J	`jnl`	An Image Based Approach to Compute Object Distance. Int. J. Comput. Intell. Syst. Ashfaqur Rahman, Abdus Salam, Mahfuzul Islam, Partha Sarker
2008	J	`jnl`	Dynamic Texture Synthesis Using Motion Distribution Statistics. J. Res. Pract. Inf. Technol. Ashfaqur Rahman, M. Manzur Murshed
2008	J	`jnl`	Location finding using computer vision based approach. Int. J. Inf. Commun. Technol. Ashfaqur Rahman, Md. Aynul Haque, Md. Shapon Talukder
2008	J	`jnl`	Periodicity estimation of Dynamic Textures. Int. J. Inf. Commun. Technol. Khalid Zaman Bijon, Ahmed Hasan, Ashfaqur Rahman, M. Manzur Murshed
2007	J	`jnl`	A Temporal Texture Characterization Technique Using Block-Based Approximated Motion Measure. IEEE Trans. Circuits Syst. Video Technol. Ashfaqur Rahman, M. Manzur Murshed
2007	—	`conf`	Multiple temporal texture detection using feature space mapping. CIVR Ashfaqur Rahman, M. Manzur Murshed
2005	—	`conf`	A Robust Optical Flow Estimation Algorithm for Temporal Textures. ITCC (2) Ashfaqur Rahman, M. Manzur Murshed
2004	—	`conf`	Feature Weighting Methods for Abstract Features Applicable to Motion based Video Indexing. ITCC (1) Ashfaqur Rahman, M. Manzur Murshed, Laurence Dooley
2004	B	`conf`	Real-time temporal texture characterisation using block based motion co-occurrence statistics. ICIP Ashfaqur Rahman, M. Manzur Murshed