Ashfaqur Rahman
Mahbuba Afrin
Jiong Jin
Ashfaqur Rahman
Shi Li
Yu-Chu Tian
Yan Li 0002
Dynamic Task Allocation for Robotic Edge System Resilience Using Deep Reinforcement Learning.
1438-1450
2024
54
IEEE Trans. Syst. Man Cybern. Syst.
3
https://doi.org/10.1109/TSMC.2023.3327959
db/journals/tsmc/tsmc54.html#AfrinJRLT024
Mashud Rana
Ashfaqur Rahman
Mahathir Almashor
John McCulloch
Subbu Sethuvenkatraman
Automatic Classification of Sensors in Buildings: Learning from Time Series Data.
367-378
2023
AI (1)
https://doi.org/10.1007/978-981-99-8388-9_30
conf/ausai/2023-1
db/conf/ausai/ausai2023-1.html#RanaRAMS23
Joel Janek Dabrowski
Ashfaqur Rahman
Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning.
1-8
2023
IJCNN
https://doi.org/10.1109/IJCNN54540.2023.10191571
conf/ijcnn/2023
db/conf/ijcnn/ijcnn2023.html#DabrowskiR23
Deepthi Praveenlal Kuttichira
Brijesh K. Verma
Ashfaqur Rahman
Lipo Wang
Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations.
1-8
2023
IJCNN
https://doi.org/10.1109/IJCNN54540.2023.10191143
conf/ijcnn/2023
db/conf/ijcnn/ijcnn2023.html#KuttichiraVRW23
Deepthi Praveenlal Kuttichira
Basim Azam
Brijesh K. Verma
Ashfaqur Rahman
Lipo Wang
Abdul Sattar 0001
Neural Network Feature Explanation Using Neuron Activation Rate Based Bipartite Graph.
1-6
2023
IVCNZ
https://doi.org/10.1109/IVCNZ61134.2023.10343968
conf/ivcnz/2023
db/conf/ivcnz/ivcnz2023.html#KuttichiraAVRWS23
Mahathir Almashor
Mashud Rana
John McCulloch
Ashfaqur Rahman
Subbu Sethuvenkatraman
What's The Point: AutoEncoding Building Point Names.
256-260
2023
BuildSys@SenSys
https://doi.org/10.1145/3600100.3623748
conf/sensys/2023buildsys
db/conf/sensys/buildsys2023.html#AlmashorRMRS23
Mashud Rana
Ashfaqur Rahman
Daniel V. Smith
A Semi-supervised Approach for Activity Recognition from Indoor Trajectory Data.
2023
abs/2301.03134
CoRR
https://doi.org/10.48550/arXiv.2301.03134
db/journals/corr/corr2301.html#abs-2301-03134
Joel Janek Dabrowski
Ashfaqur Rahman
Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning.
2023
abs/2304.10068
CoRR
https://doi.org/10.48550/arXiv.2304.10068
db/journals/corr/corr2304.html#abs-2304-10068
Mahbuba Afrin
Jiong Jin
Ashfaqur Rahman
Andrea Gasparri
Yu-Chu Tian
Ambarish Kulkarni
Robotic Edge Resource Allocation for Agricultural Cyber-Physical System.
3979-3990
2022
9
IEEE Trans. Netw. Sci. Eng.
6
https://doi.org/10.1109/TNSE.2021.3103602
db/journals/tnse/tnse9.html#AfrinJRGTK22
Deepthi Praveenlal Kuttichira
Basim Azam
Brijesh K. Verma
Ashfaqur Rahman
Lipo Wang
A Novel Explainable Deep Learning Model with Class Specific Features.
62-74
2022
IVCNZ
https://doi.org/10.1007/978-3-031-25825-1_5
conf/ivcnz/2022
db/conf/ivcnz/ivcnz2022.html#KuttichiraAVRW22
Joel Janek Dabrowski
Ashfaqur Rahman
Andrew D. Hellicar
Mashud Rana
Stuart Arnold
Deep Learning for Prawn Farming - Forecasting and Anomaly Detection.
29-41
2022
PAKDD (3)
https://doi.org/10.1007/978-3-031-05981-0_3
conf/pakdd/2022-3
db/conf/pakdd/pakdd2022-3.html#DabrowskiRHRA22
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.
36-45
2022
VEHITS
https://doi.org/10.5220/0010998400003191
conf/vehits/2022
db/conf/vehits/vehits2022.html#GeurtsHSSRH22
Joel Janek Dabrowski
Ashfaqur Rahman
Andrew D. Hellicar
Mashud Rana
Stuart Arnold
Deep Learning for Prawn Farming: Forecasting and Anomaly Detection.
2022
abs/2205.06359
CoRR
https://doi.org/10.48550/arXiv.2205.06359
db/journals/corr/corr2205.html#abs-2205-06359
Peter Baumgartner 0001
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.
2022
abs/2210.01344
CoRR
https://doi.org/10.48550/arXiv.2210.01344
db/journals/corr/corr2210.html#abs-2210-01344
Mingze Xi
Ashfaqur Rahman
Chuong Nguyen
Stuart Arnold
John McCulloch
Smart Headset, Computer Vision and Machine Learning for Efficient Prawn Farm Management.
2022
abs/2210.07436
CoRR
https://doi.org/10.48550/arXiv.2210.07436
db/journals/corr/corr2210.html#abs-2210-07436
Mahbub E. Khoda
Joarder Kamruzzaman
Iqbal Gondal
Tasadduq Imam
Ashfaqur Rahman
Malware detection in edge devices with fuzzy oversampling and dynamic class weighting.
107783
2021
112
Appl. Soft Comput.
https://doi.org/10.1016/j.asoc.2021.107783
db/journals/asc/asc112.html#KhodaKGIR21
Mahbuba Afrin
Jiong Jin
Akhlaqur Rahman
Ashfaqur Rahman
Jiafu Wan
Ekram Hossain 0001
Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey.
842-870
2021
23
IEEE Commun. Surv. Tutorials
2
https://doi.org/10.1109/COMST.2021.3061435
db/journals/comsur/comsur23.html#AfrinJRRWH21
Mahbuba Afrin
Jiong Jin
Akhlaqur Rahman
Ashfaqur Rahman
Jiafu Wan
Ekram Hossain 0001
Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey.
2021
abs/2104.14270
CoRR
https://arxiv.org/abs/2104.14270
db/journals/corr/corr2104.html#abs-2104-14270
Joel Janek Dabrowski
Ashfaqur Rahman
Daniel Edward Pagendam
Andrew George
Enforcing mean reversion in state space models for prawn pond water quality forecasting.
2020
168
Comput. Electron. Agric.
https://doi.org/10.1016/j.compag.2019.105120
db/journals/cea/cea168.html#DabrowskiRPG20
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.
105545
2020
175
Comput. Electron. Agric.
https://doi.org/10.1016/j.compag.2020.105545
db/journals/cea/cea175.html#RanaRHMH20
Joel Janek Dabrowski
Yi-Fan Zhang 0008
Ashfaqur Rahman
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-step-Ahead Time-Series Forecasting.
579-591
2020
ICONIP (3)
https://doi.org/10.1007/978-3-030-63836-8_48
conf/iconip/2020-3
db/conf/iconip/iconip2020-3.html#DabrowskiZR20
Mashud Rana
Ashfaqur Rahman
Jiong Jin
A Data-driven Approach for Forecasting State Level Aggregated Solar Photovoltaic Power Production.
1-8
2020
IJCNN
https://doi.org/10.1109/IJCNN48605.2020.9207594
conf/ijcnn/2020
db/conf/ijcnn/ijcnn2020.html#RanaRJ20
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.
1-6
2020
WiMob
https://doi.org/10.1109/WiMob50308.2020.9253433
conf/wimob/2020
db/conf/wimob/wimob2020.html#KhodaKGIR20
Joel Janek Dabrowski
Ashfaqur Rahman
Manoranjan Paul
Image and Video Technology - PSIVT 2019 International Workshops, Sydney, NSW, Australia, November 18-22, 2019, Revised Selected Papers
PSIVT Workshops
Springer
2020
Lecture Notes in Computer Science
11994
978-3-030-39769-2
978-3-030-39770-8
https://doi.org/10.1007/978-3-030-39770-8
db/conf/psivt/psivt2019w.html
Joel Janek Dabrowski
Yi-Fan Zhang 0008
Ashfaqur Rahman
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting.
2020
abs/2002.04155
CoRR
https://arxiv.org/abs/2002.04155
db/journals/corr/corr2002.html#abs-2002-04155
Joel Janek Dabrowski
Ashfaqur Rahman
Sequence-to-Sequence Imputation of Missing Sensor Data.
2020
abs/2002.10767
CoRR
https://arxiv.org/abs/2002.10767
db/journals/corr/corr2002.html#abs-2002-10767
Joel Janek Dabrowski
Johan Pieter de Villiers
Ashfaqur Rahman
Conrad Beyers
Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction.
2020
abs/2002.11226
CoRR
https://arxiv.org/abs/2002.11226
db/journals/corr/corr2002.html#abs-2002-11226
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.
2020
abs/2005.13745
CoRR
https://arxiv.org/abs/2005.13745
db/journals/corr/corr2005.html#abs-2005-13745
Ashfaqur Rahman
Stuart Arnold
Joel Janek Dabrowski
Identification of variables affecting production outcome in prawn ponds: A machine learning approach.
618-626
2019
156
Comput. Electron. Agric.
https://doi.org/10.1016/j.compag.2018.12.015
db/journals/cea/cea156.html#RahmanAD19
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.
11-32
2019
160
Comput. Networks
https://doi.org/10.1016/j.comnet.2019.05.016
db/journals/cn/cn160.html#RahmanJRCAD19
Mahbuba Afrin
Jiong Jin
Ashfaqur Rahman
Yu-Chu Tian
Ambarish Kulkarni
Multi-objective resource allocation for Edge Cloud based robotic workflow in smart factory.
119-130
2019
97
Future Gener. Comput. Syst.
https://doi.org/10.1016/j.future.2019.02.062
db/journals/fgcs/fgcs97.html#AfrinJRTK19
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.
2500-2511
2019
15
IEEE Trans. Ind. Informatics
5
https://doi.org/10.1109/TII.2018.2874693
db/journals/tii/tii15.html#RahmanJCRK19
Joel Janek Dabrowski
Ashfaqur Rahman
Sequence-to-Sequence Imputation of Missing Sensor Data.
265-276
2019
Australasian Conference on Artificial Intelligence
https://doi.org/10.1007/978-3-030-35288-2_22
conf/ausai/2019
db/conf/ausai/ausai2019.html#DabrowskiR19
Irena Koprinska
Mashud Rana
Ashfaqur Rahman
Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-step-ahead Solar Power Forecasting.
436-449
2019
ICANN (4)
https://doi.org/10.1007/978-3-030-30490-4_35
conf/icann/2019-4
db/conf/icann/icann2019-4.html#KoprinskaRR19
Mahbub E. Khoda
Joarder Kamruzzaman
Iqbal Gondal
Tasadduq Imam
Ashfaqur Rahman
Mobile Malware Detection: An Analysis of Deep Learning Model.
1161-1166
2019
ICIT
https://doi.org/10.1109/ICIT.2019.8755048
conf/icit2/2019
db/conf/icit2/icit2019.html#KhodaKGIR19
Joel Janek Dabrowski
Johan Pieter de Villiers
Ashfaqur Rahman
Conrad Beyers
Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction.
458-465
2019
ICONIP (4)
https://doi.org/10.1007/978-3-030-36808-1_50
conf/iconip/2019-4
db/conf/iconip/iconip2019-4.html#DabrowskiVRB19
Mahbub E. Khoda
Tasadduq Imam
Joarder Kamruzzaman
Iqbal Gondal
Ashfaqur Rahman
Selective Adversarial Learning for Mobile Malware.
272-279
2019
TrustCom/BigDataSE
https://doi.org/10.1109/TrustCom/BigDataSE.2019.00044
conf/trustcom/2019
db/conf/trustcom/trustcom2019.html#KhodaIKGR19
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.
15-24
2018
145
Knowl. Based Syst.
https://doi.org/10.1016/j.knosys.2017.12.036
https://www.wikidata.org/entity/Q110742119
db/journals/kbs/kbs145.html#TasnimROH18
Mahbuba Afrin
Jiong Jin
Ashfaqur Rahman
Energy-Delay Co-optimization of Resource Allocation for Robotic Services in Cloudlet Infrastructure.
295-303
2018
ICSOC
https://doi.org/10.1007/978-3-030-03596-9_20
conf/icsoc/2018
db/conf/icsoc/icsoc2018.html#AfrinJR18
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.
177-185
2018
KDD
https://doi.org/10.1145/3219819.3219841
conf/kdd/2018
db/conf/kdd/kdd2018.html#DabrowskiRGAM18
Mashud Rana
Ashfaqur Rahman
Liwan H. Liyanage
Mohammed Nazim Uddin
Comparison and Sensitivity Analysis of Methods for Solar PV Power Prediction.
333-344
2018
PAKDD (Workshops)
https://doi.org/10.1007/978-3-030-04503-6_32
conf/pakdd/2018-w
db/conf/pakdd/pakdd2018-w.html#RanaRLU18
Sumaira Tasnim
Ashfaqur Rahman
Amanullah Maung Than Oo
Md. Enamul Haque
Wind Power Prediction Using Cluster Based Ensemble Regression.
1750026:1-1750026:15
2017
16
Int. J. Comput. Intell. Appl.
4
https://doi.org/10.1142/S1469026817500262
db/journals/ijcia/ijcia16.html#TasnimROH17
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.
8364-8372
2017
64
IEEE Trans. Ind. Electron.
10
https://doi.org/10.1109/TIE.2017.2694413
db/journals/tie/tie64.html#RoyMARAGFHMD17
Akhlaqur Rahman
Jiong Jin
Antonio L. Cricenti
Ashfaqur Rahman
Manoj Panda
Motion and Connectivity Aware Offloading in Cloud Robotics via Genetic Algorithm.
1-6
2017
GLOBECOM
https://doi.org/10.1109/GLOCOM.2017.8255040
conf/globecom/2017
db/conf/globecom/globecom2017.html#RahmanJCRP17
Zakaria Mhammedi
Andrew D. Hellicar
Ashfaqur Rahman
James Bailey 0001
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections.
2401-2409
2017
ICML
http://proceedings.mlr.press/v70/mhammedi17a.html
conf/icml/2017
db/conf/icml/icml2017.html#MhammediHRB17
Robert Dunne
David Henry 0002
Richard Rawnsley
Ashfaqur Rahman
Behavior Classification of Dairy Cows Fitted with GPS Collars.
15-25
2017
PAKDD (Workshops)
https://doi.org/10.1007/978-3-319-67274-8_2
conf/pakdd/2017-w
db/conf/pakdd/pakdd2017-w.html#DunneHRR17
Ashfaqur Rahman
Philip Smethurst
Michael Attard
Rob Dunne
Thermal Stratification Prediction at Lake Trevallyn.
51-55
2017
PAKDD (Workshops)
https://doi.org/10.1007/978-3-319-67274-8_5
conf/pakdd/2017-w
db/conf/pakdd/pakdd2017-w.html#RahmanSAD17
Mohammad Saidur Rahman 0001
Ashfaqur Rahman
Channel Transition Invariant Fast Broadcasting Scheme.
2017
abs/1711.08118
CoRR
http://arxiv.org/abs/1711.08118
db/journals/corr/corr1711.html#abs-1711-08118
Md. Sumon Shahriar
Daniel V. Smith
Ashfaqur Rahman
Mark Freeman
James Hills
Richard Rawnsley
David Henry 0002
Greg Bishop-Hurley
Detecting heat events in dairy cows using accelerometers and unsupervised learning.
20-26
2016
128
Comput. Electron. Agric.
https://doi.org/10.1016/j.compag.2016.08.009
db/journals/cea/cea128.html#ShahriarSRFHRHB16
Daniel V. Smith
Ashfaqur Rahman
Greg Bishop-Hurley
James Hills
Md. Sumon Shahriar
David Henry 0002
Richard Rawnsley
Behavior classification of cows fitted with motion collars: Decomposing multi-class classification into a set of binary problems.
40-50
2016
131
Comput. Electron. Agric.
https://doi.org/10.1016/j.compag.2016.10.006
db/journals/cea/cea131.html#SmithRBHSHR16
Akhlaqur Rahman
Jiong Jin
Antonio L. Cricenti
Ashfaqur Rahman
Marimuthu Palaniswami
Tie Luo
Cloud-Enhanced Robotic System for Smart City Crowd Control.
20
2016
5
J. Sens. Actuator Networks
4
https://doi.org/10.3390/jsan5040020
db/journals/jsan/jsan5.html#RahmanJCRPL16
Hamidu Abdel-Fatao
Jiuyong Li
Jixue Liu
Ashfaqur Rahman
An Effective Spatio-Temporal Approach for Predicting Future Semantic Locations.
283-294
2016
ADC
https://doi.org/10.1007/978-3-319-46922-5_22
https://www.wikidata.org/entity/Q57972916
conf/adc/2016
db/conf/adc/adc2016.html#Abdel-FataoLLR16
Akhlaqur Rahman
Jiong Jin
Antonio L. Cricenti
Ashfaqur Rahman
Dong Yuan
A Cloud Robotics Framework of Optimal Task Offloading for Smart City Applications.
1-7
2016
GLOBECOM
https://doi.org/10.1109/GLOCOM.2016.7841487
conf/globecom/2016
db/conf/globecom/globecom2016.html#RahmanJCRY16
Ke Hu
Vijay Sivaraman
Hari Bhrugubanda
Shiying Kang
Ashfaqur Rahman
SVR based dense air pollution estimation model using static and wireless sensor network.
1-3
2016
IEEE SENSORS
https://doi.org/10.1109/ICSENS.2016.7808827
conf/ieeesensors/2016
db/conf/ieeesensors/ieeesensors2016.html#HuSBKR16
Ashfaqur Rahman
Daniel V. Smith
James Hills
Greg Bishop-Hurley
David Henry 0002
Richard Rawnsley
A comparison of autoencoder and statistical features for cattle behaviour classification.
2954-2960
2016
IJCNN
https://doi.org/10.1109/IJCNN.2016.7727573
conf/ijcnn/2016
db/conf/ijcnn/ijcnn2016.html#RahmanSHBHR16
Zakaria Mhammedi
Andrew D. Hellicar
Ashfaqur Rahman
James Bailey 0001
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections.
2016
abs/1612.00188
CoRR
http://arxiv.org/abs/1612.00188
db/journals/corr/corr1612.html#MhammediHRB16
Andrew D. Hellicar
Ashfaqur Rahman
Daniel V. Smith
John M. Henshall
Machine learning approach for pooled DNA sample calibration.
214:1-214:11
2015
16
BMC Bioinform.
https://doi.org/10.1186/s12859-015-0593-1
https://www.wikidata.org/entity/Q35686479
db/journals/bmcbi/bmcbi16.html#HellicarRSH15
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.
48-55
2015
61
Comput. Biol. Medicine
https://doi.org/10.1016/j.compbiomed.2015.03.020
https://www.wikidata.org/entity/Q40271299
db/journals/cbm/cbm61.html#RahmanHSH15
Ashfaqur Rahman
Claire D'Este
Shellfish farm closure prediction and cause identification using machine learning methods.
241-248
2015
110
Comput. Electron. Agric.
https://doi.org/10.1016/j.compag.2014.11.023
db/journals/cea/cea110.html#RahmanD15
Ashfaqur Rahman
Qianyu Zhang
Claire D'Este
A Multiple Classifier System for Predicting with missing Sensor Values.
2014
6
Adv. Data Sci. Adapt. Anal.
2-3
https://doi.org/10.1142/S1793536914500095
db/journals/aada/aada6.html#RahmanZD14
Claire D'Este
Greg P. Timms
Alison Turnbull
Ashfaqur Rahman
Ensemble aggregation methods for relocating models of rare events.
58-65
2014
34
Eng. Appl. Artif. Intell.
https://doi.org/10.1016/j.engappai.2014.05.007
db/journals/eaai/eaai34.html#DEsteTTR14
Quazi Mamun
Ashfaqur Rahman
A Robust Data Gathering Technique for Large Scaled Wireless Sensor Networks.
2342-2352
2014
9
J. Networks
9
https://doi.org/10.4304/jnw.9.9.2342-2352
db/journals/jnw/jnw9.html#MamunR14
Sumaira Tasnim
Ashfaqur Rahman
G. M. Shafiullah
Amanullah Maung Than Oo
Alex Stojcevski
A time series ensemble method to predict wind power.
1-5
2014
CIASG
https://doi.org/10.1109/CIASG.2014.7011544
conf/ciasg/2014
db/conf/ciasg/ciasg2014.html#TasnimRSOS14
Ashfaqur Rahman
Andrew D. Hellicar
Identification of mature grape bunches using image processing and computational intelligence methods.
54-59
2014
CIMSIVP
https://doi.org/10.1109/CIMSIVP.2014.7013272
conf/cimsivp/2014
db/conf/cimsivp/cimsivp2014.html#RahmanH14
Greg Bishop-Hurley
Dave Henry 0002
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.
1285-1290
2014
I2MTC
https://doi.org/10.1109/I2MTC.2014.6860952
conf/i2mtc/2014
db/conf/i2mtc/i2mtc2014.html#Bishop-HurleyHS14
Ke Hu
Ashfaqur Rahman
Vijay Sivaraman
Pradeep Ray
Improving air pollution forecast with ubiquitous mobile sensor network.
405-406
2014
ICUFN
https://doi.org/10.1109/ICUFN.2014.6876823
conf/icufn/2014
db/conf/icufn/icufn2014.html#HuRSR14
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.
183-189
2014
IJCNN
https://doi.org/10.1109/IJCNN.2014.6889697
conf/ijcnn/2014
db/conf/ijcnn/ijcnn2014.html#HellicarSREH14
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.
2211-2217
2014
IJCNN
https://doi.org/10.1109/IJCNN.2014.6889730
conf/ijcnn/2014
db/conf/ijcnn/ijcnn2014.html#HellicarRSSM14
Ke Hu
Yan Wang
Ashfaqur Rahman
Vijay Sivaraman
Personalising pollution exposure estimates using wearable activity sensors.
1-6
2014
ISSNIP
https://doi.org/10.1109/ISSNIP.2014.6827617
conf/issnip/2014
db/conf/issnip/issnip2014.html#HuWRS14
Ke Hu
Timothy Davison
Ashfaqur Rahman
Vijay Sivaraman
Air Pollution Exposure Estimation and Finding Association with Human Activity using Wearable Sensor Network.
48
2014
MLSDA@PRICAI
https://doi.org/10.1145/2689746.2689749
conf/pricai/2014mlsda
db/conf/pricai/mlsda2014.html#HuDRS14
Claire D'Este
Chris Sharman
Ashfaqur Rahman
Distributed Feature Selection with Big Sensor Data.
56
2014
MLSDA@PRICAI
https://doi.org/10.1145/2689746.2689752
conf/pricai/2014mlsda
db/conf/pricai/mlsda2014.html#DEsteSR14
Ashfaqur Rahman
Jeremiah D. Deng
Jiuyong Li
Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis, Gold Coast, Australia, QLD, Australia, December 2, 2014
ACM
MLSDA@PRICAI
2014
978-1-4503-3159-3
http://dl.acm.org/citation.cfm?id=2689746
db/conf/pricai/mlsda2014.html
Ashfaqur Rahman
Brijesh K. Verma
Cluster-based ensemble of classifiers.
270-282
2013
30
Expert Syst. J. Knowl. Eng.
3
https://doi.org/10.1111/j.1468-0394.2012.00637.x
db/journals/es/es30.html#RahmanV13
Ashfaqur Rahman
Md. Sumon Shahriar
Algae Growth Prediction through Identification of Influential Environmental Variables: a Machine Learning Approach.
2013
12
Int. J. Comput. Intell. Appl.
2
https://doi.org/10.1142/S1469026813500089
db/journals/ijcia/ijcia12.html#RahmanS13
Ashfaqur Rahman
Brijesh K. Verma
Cluster Based Ensemble Classifier Generation by Joint Optimization of accuracy and Diversity.
2013
12
Int. J. Comput. Intell. Appl.
4
https://doi.org/10.1142/S1469026813400038
db/journals/ijcia/ijcia12.html#RahmanV13
Ashfaqur Rahman
Benthic Habitat Mapping from Seabed Images using Ensemble of Color, Texture, and Edge Features.
1072-1081
2013
6
Int. J. Comput. Intell. Syst.
6
https://doi.org/10.1080/18756891.2013.816055
db/journals/ijcisys/ijcisys6.html#Rahman13
Ashfaqur Rahman
Brijesh K. Verma
Effect of ensemble classifier composition on offline cursive character recognition.
852-864
2013
49
Inf. Process. Manag.
4
https://doi.org/10.1016/j.ipm.2012.12.010
db/journals/ipm/ipm49.html#RahmanV13
Ashfaqur Rahman
Brijesh K. Verma
Ensemble classifier generation using non-uniform layered clustering and Genetic Algorithm.
30-42
2013
43
Knowl. Based Syst.
https://doi.org/10.1016/j.knosys.2013.01.002
db/journals/kbs/kbs43.html#RahmanV13
Ashfaqur Rahman
Claire D'Este
John McCulloch
Ensemble Feature Ranking for Shellfish Farm Closure Cause Identification.
13
2013
MLSDA@AUS-AI
https://doi.org/10.1145/2542652.2542655
conf/ausai/2013mlsda
db/conf/ausai/mlsda2013.html#RahmanDM13
Md. Sumon Shahriar
Ashfaqur Rahman
Daniel V. Smith
Applying context in appliance load identification.
900-905
2013
ICNC
https://doi.org/10.1109/ICNC.2013.6818104
conf/icnc/2013
db/conf/icnc/icnc2013.html#ShahriarRS13
Md. Sumon Shahriar
Ashfaqur Rahman
Spatial-temporal prediction of algal bloom.
973-977
2013
ICNC
https://doi.org/10.1109/ICNC.2013.6818117
conf/icnc/2013
db/conf/icnc/icnc2013.html#ShahriarR13
Ashfaqur Rahman
Ritaban Dutta
Daniel V. Smith
Exploring mineral domains with genetic algorithm.
1-8
2013
IJCNN
https://doi.org/10.1109/IJCNN.2013.6707087
conf/ijcnn/2013
db/conf/ijcnn/ijcnn2013.html#RahmanDS13
Ashfaqur Rahman
Brijesh K. Verma
Cluster oriented ensemble classifiers using multi-objective evolutionary algorithm.
1-6
2013
IJCNN
https://doi.org/10.1109/IJCNN.2013.6706822
conf/ijcnn/2013
db/conf/ijcnn/ijcnn2013.html#RahmanV13
Qianyu Zhang
Ashfaqur Rahman
Claire D'Este
Impute vs. Ignore: Missing values for prediction.
1-8
2013
IJCNN
https://doi.org/10.1109/IJCNN.2013.6707014
conf/ijcnn/2013
db/conf/ijcnn/ijcnn2013.html#ZhangRD13
Ashfaqur Rahman
Claire D'Este
Greg P. Timms
Dealing with missing sensor values in predicting shellfish farm closure.
351-356
2013
ISSNIP
https://doi.org/10.1109/ISSNIP.2013.6529815
conf/issnip/2013
db/conf/issnip/issnip2013.html#RahmanDT13
Ashfaqur Rahman
Daniel V. Smith
Greg P. Timms
Multiple classifier system for automated quality assessment of marine sensor data.
362-367
2013
ISSNIP
https://doi.org/10.1109/ISSNIP.2013.6529817
conf/issnip/2013
db/conf/issnip/issnip2013.html#RahmanST13
Claire D'Este
Ashfaqur Rahman
Similarity Weighted Ensembles for Relocating Models of Rare Events.
25-36
2013
MCS
https://doi.org/10.1007/978-3-642-38067-9_3
conf/mcs/2013
db/conf/mcs/mcs2013.html#DEsteR13
Brijesh K. Verma
Ashfaqur Rahman
Cluster-Oriented Ensemble Classifier: Impact of Multicluster Characterization on Ensemble Classifier Learning.
605-618
2012
24
IEEE Trans. Knowl. Data Eng.
4
https://doi.org/10.1109/TKDE.2011.28
http://doi.ieeecomputersociety.org/10.1109/TKDE.2011.28
db/journals/tkde/tkde24.html#VermaR12
Claire D'Este
Ashfaqur Rahman
Alison Turnbull
Predicting Shellfish Farm Closures with Class Balancing Methods.
39-48
2012
Australasian Conference on Artificial Intelligence
https://doi.org/10.1007/978-3-642-35101-3_4
conf/ausai/2012
db/conf/ausai/ausai2012.html#DEsteRT12
Ashfaqur Rahman
Brijesh K. Verma
Influence of unstable patterns in layered cluster oriented ensemble classifier.
1-8
2012
IJCNN
https://doi.org/10.1109/IJCNN.2012.6252421
conf/ijcnn/2012
db/conf/ijcnn/ijcnn2012.html#RahmanV12
Ashfaqur Rahman
Brijesh K. Verma
David R. Stockwell
An hierarchical approach towards road image segmentation.
1-8
2012
IJCNN
https://doi.org/10.1109/IJCNN.2012.6252403
conf/ijcnn/2012
db/conf/ijcnn/ijcnn2012.html#RahmanVS12
Mohammad Saiedur Rahaman
Ashfaqur Rahman
Sumaira Tasnim
An adaptive harmonic broadcasting scheme with download and playback synchronisation for video on demand.
4-17
2011
2
Int. J. Multim. Intell. Secur.
1
https://doi.org/10.1504/IJMIS.2011.040926
db/journals/ijmis/ijmis2.html#RahamanRT11
Ashfaqur Rahman
Brijesh K. Verma
Novel Layered Clustering-Based Approach for Generating Ensemble of Classifiers.
781-792
2011
22
IEEE Trans. Neural Networks
5
https://doi.org/10.1109/TNN.2011.2118765
https://www.wikidata.org/entity/Q51579646
db/journals/tnn/tnn22.html#RahmanV11
Ashfaqur Rahman
Brijesh K. Verma
Ensemble classifier composition: Impact on feature based offline cursive character recognition.
801-807
2011
IJCNN
https://doi.org/10.1109/IJCNN.2011.6033303
conf/ijcnn/2011
db/conf/ijcnn/ijcnn2011.html#RahmanV11
Ashfaqur Rahman
Brijesh K. Verma
Xin Yao 0001
Non-uniform Layered Clustering for Ensemble Classifier Generation and Optimality.
551-558
2010
ICONIP (1)
https://doi.org/10.1007/978-3-642-17537-4_67
conf/iconip/2010-1
db/conf/iconip/iconip2010-1.html#RahmanVY10
Ashfaqur Rahman
Brijesh K. Verma
A novel ensemble classifier approach using weak classifier learning on overlapping clusters.
1-7
2010
IJCNN
https://doi.org/10.1109/IJCNN.2010.5596332
conf/ijcnn/2010
db/conf/ijcnn/ijcnn2010.html#RahmanV10
Ashfaqur Rahman
M. Manzur Murshed
Feature Weighting and Retrieval Methods for Dynamic Texture Motion Features.
27-38
2009
2
Int. J. Comput. Intell. Syst.
1
https://doi.org/10.1080/18756891.2009.9727637
db/journals/ijcisys/ijcisys2.html#RahmanM09
Ashfaqur Rahman
M. Manzur Murshed
Detection of Multiple Dynamic Textures Using Feature Space Mapping.
766-771
2009
19
IEEE Trans. Circuits Syst. Video Technol.
5
https://doi.org/10.1109/TCSVT.2009.2017419
db/journals/tcsv/tcsv19.html#RahmanM09
Musfiq Rahman
Ashfaqur Rahman
Quality of Service Support in Wireless Ad Hoc Networks.
281-310
2009
Guide to Wireless Ad Hoc Networks
https://doi.org/10.1007/978-1-84800-328-6_12
series/ccn/MWM2009
db/series/ccn/MWM2009.html#RahmanR09
Ashfaqur Rahman
M. Manzur Murshed
Dynamic Texture Synthesis Using Motion Distribution Statistics.
129-148
2008
40
J. Res. Pract. Inf. Technol.
2
http://ws.acs.org.au/jrpit/JRPITVolumes/JRPIT40/JRPIT40.2.129.pdf
db/journals/acj/acj40.html#RahmanM08
Ashfaqur Rahman
Abdus Salam
Mahfuzul Islam
Partha Sarker
An Image Based Approach to Compute Object Distance.
304-312
2008
1
Int. J. Comput. Intell. Syst.
4
https://doi.org/10.1080/18756891.2008.9727627
db/journals/ijcisys/ijcisys1.html#RahmanSIS08
Ashfaqur Rahman
Md. Aynul Haque
Md. Shapon Talukder
Location finding using computer vision based approach.
390-397
2008
1
Int. J. Inf. Commun. Technol.
3/4
https://doi.org/10.1504/IJICT.2008.024010
db/journals/ijict/ijict1.html#RahmanHT08
Khalid Zaman Bijon
Ahmed Hasan
Ashfaqur Rahman
M. Manzur Murshed
Periodicity estimation of Dynamic Textures.
414-423
2008
1
Int. J. Inf. Commun. Technol.
3/4
https://doi.org/10.1504/IJICT.2008.024012
db/journals/ijict/ijict1.html#BijonHRM08
Ashfaqur Rahman
M. Manzur Murshed
A Temporal Texture Characterization Technique Using Block-Based Approximated Motion Measure.
1370-1382
2007
17
IEEE Trans. Circuits Syst. Video Technol.
10
https://doi.org/10.1109/TCSVT.2007.903790
db/journals/tcsv/tcsv17.html#RahmanM07
Ashfaqur Rahman
M. Manzur Murshed
Multiple temporal texture detection using feature space mapping.
417-424
2007
conf/civr/2007
CIVR
https://doi.org/10.1145/1282280.1282342
db/conf/civr/civr2007.html#RahmanM07
Ashfaqur Rahman
M. Manzur Murshed
A Robust Optical Flow Estimation Algorithm for Temporal Textures.
72-76
2005
conf/itcc/2005-2
ITCC (2)
https://doi.org/10.1109/ITCC.2005.31
https://doi.ieeecomputersociety.org/10.1109/ITCC.2005.31
db/conf/itcc/itcc2005-2.html#RahmanM05
Ashfaqur Rahman
M. Manzur Murshed
Real-time temporal texture characterisation using block based motion co-occurrence statistics.
1593-1596
2004
conf/icip/2004
ICIP
db/conf/icip/icip2004-3.html#RahmanM04
Ashfaqur Rahman
M. Manzur Murshed
Laurence Dooley
Feature Weighting Methods for Abstract Features Applicable to Motion based Video Indexing.
676-
2004
conf/itcc/2004-1
ITCC (1)
https://doi.org/10.1109/ITCC.2004.1286544
https://doi.ieeecomputersociety.org/10.1109/ITCC.2004.1286544
db/conf/itcc/itcc2004-1.html#RahmanMD04
Affan Abbasi
Hamidu Abdel-Fatao
Mahbuba Afrin
Shamim Ahmed
Mahathir Almashor
Stuart Arnold
Michael Attard
Basim Azam
James Bailey 0001
Peter Baumgartner 0001
Conrad Beyers
Hari Bhrugubanda
Khalid Zaman Bijon
Greg Bishop-Hurley
Antonio L. Cricenti
Joel Janek Dabrowski
Timothy Davison
Jeremiah D. Deng
Claire D'Este
Jia Di
Yu-ning Dong
Laurence Dooley
Robert DunneRob Dunne
Simon Dunstall
Ritaban Dutta
Ulrich Engelke
Matt Francis
Mark Freeman
Andrea Gasparri
James Austin Gattis
Andrew George
Merlijne Geurts
Hassan Habibi Gharakheili
Iqbal Gondal
Md. Aynul Haque
Md. Enamul Haque
Ahmed Hasan
Andrew D. Hellicar
David Henry 0002Dave Henry 0002
John M. Henshall
Johannes Hiller
James Hills
Jeroen H. Hogema
Jim Holmes
Ekram Hossain 0001
Ke Hu
Daniel Hugo
Tasadduq Imam
Mahfuzul Islam
Jiong Jin
Joarder Kamruzzaman
Shiying Kang
Reena Kapoor
Mahbub E. Khoda
Irena Koprinska
Ambarish Kulkarni
Deepthi Praveenlal Kuttichira
Jiuyong Li
Shi Li
Yan Li 0002
Jixue Liu
Liwan H. Liyanage
Tie Luo
Quazi Mamun
H. Alan Mantooth
John McCulloch
Zakaria Mhammedi
Ahsan Morshed
Robert C. Murphree
M. Manzur Murshed
Chuong Nguyen
Aman Maung Than OoAmanullah Maung Than Oo
Daniel Edward Pagendam
Marimuthu Palaniswami
Manoj Panda
Manoranjan Paul
Mohammad Saiedur Rahaman
Akhlaqur Rahman
Mohammad Saidur Rahman 0001
Musfiq Rahman
Mashud Rana
Richard Rawnsley
Pradeep Kumar RayPradeep Ray
Sajib Roy
Abdus Salam
Partha Sarker
Abdul Sattar 0001
Andreas Schutt
Subbu Sethuvenkatraman
G. M. Shafiullah
Md. Sumon Shahriar
Chris Sharman
Yanfeng Shu
Emilia Silvas
Vijay Sivaraman
Philip Smethurst
Daniel V. Smith
Greg Smith
Jan Souman
David R. B. StockwellDavid R. Stockwell
Alex Stojcevski
Md. Shapon Talukder
Elena Tartaglia
Sumaira Tasnim
John Taylor
Yu-Chu Tian
Greg P. Timms
Alison Turnbull
Mohammed Nazim Uddin
Brijesh K. Verma
Johan Pieter de Villiers
Jiafu Wan
Lipo Wang
Yan Wang
Mingze Xi
Xin Yao 0001
Dong Yuan
Qianyu Zhang
Yi-Fan Zhang 0008