Ashfaqur Rahman
Orcid: 0000-0002-0236-5447
According to our database1,
Ashfaqur Rahman
authored at least 101 papers
between 2004 and 2024.
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Bibliography
2024
Dynamic Task Allocation for Robotic Edge System Resilience Using Deep Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2024
Hierarchical Semi-Supervised Approach for Classifying Activities of Workers Utilising Indoor Trajectory Data.
Internet Things, 2024
2023
CoRR, 2023
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023
Neural Network Feature Explanation Using Neuron Activation Rate Based Bipartite Graph.
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023
Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
2022
IEEE Trans. Netw. Sci. Eng., 2022
Smart Headset, Computer Vision and Machine Learning for Efficient Prawn Farm Management.
CoRR, 2022
Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective.
CoRR, 2022
Evaluating the Quality of Lane Change Event Detection: Effect of Situational Variables.
Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems, 2022
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Proceedings of the Image and Vision Computing - 37th International Conference, 2022
2021
Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey.
IEEE Commun. Surv. Tutorials, 2021
Malware detection in edge devices with fuzzy oversampling and dynamic class weighting.
Appl. Soft Comput., 2021
2020
HazeDose: Design and Analysis of a Personal Air Pollution Inhaled Dose Estimation System using Wearable Sensors.
CoRR, 2020
Investigating data-driven approaches to understand the interaction between water quality and physiological response of sentinel oysters in natural environment.
Comput. Electron. Agric., 2020
Enforcing mean reversion in state space models for prawn pond water quality forecasting.
Comput. Electron. Agric., 2020
Mobile Malware Detection with Imbalanced Data using a Novel Synthetic Oversampling Strategy and Deep Learning.
Proceedings of the 16th International Conference on Wireless and Mobile Computing, 2020
A Data-driven Approach for Forecasting State Level Aggregated Solar Photovoltaic Power Production.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-step-Ahead Time-Series Forecasting.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
2019
Communication-Aware Cloud Robotic Task Offloading With On-Demand Mobility for Smart Factory Maintenance.
IEEE Trans. Ind. Informatics, 2019
Multi-objective resource allocation for Edge Cloud based robotic workflow in smart factory.
Future Gener. Comput. Syst., 2019
Comput. Networks, 2019
Identification of variables affecting production outcome in prawn ponds: A machine learning approach.
Comput. Electron. Agric., 2019
Proceedings of the 18th IEEE International Conference On Trust, 2019
Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Proceedings of the IEEE International Conference on Industrial Technology, 2019
Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-step-ahead Solar Power Forecasting.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019
2018
Wind power prediction in new stations based on knowledge of existing Stations: A cluster based multi source domain adaptation approach.
Knowl. Based Syst., 2018
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018
State Space Models for Forecasting Water Quality Variables: An Application in Aquaculture Prawn Farming.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Energy-Delay Co-optimization of Resource Allocation for Robotic Services in Cloudlet Infrastructure.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018
2017
IEEE Trans. Ind. Electron., 2017
Int. J. Comput. Intell. Appl., 2017
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections.
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 2017 IEEE Global Communications Conference, 2017
2016
J. Sens. Actuator Networks, 2016
Behavior classification of cows fitted with motion collars: Decomposing multi-class classification into a set of binary problems.
Comput. Electron. Agric., 2016
Comput. Electron. Agric., 2016
A comparison of autoencoder and statistical features for cattle behaviour classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
SVR based dense air pollution estimation model using static and wireless sensor network.
Proceedings of the 2016 IEEE SENSORS, Orlando, FL, USA, October 30 - November 3, 2016, 2016
Proceedings of the 2016 IEEE Global Communications Conference, 2016
Proceedings of the Databases Theory and Applications, 2016
2015
Shellfish farm closure prediction and cause identification using machine learning methods.
Comput. Electron. Agric., 2015
Allele frequency calibration for SNP based genotyping of DNA pools: A regression based local-global error fusion method.
Comput. Biol. Medicine, 2015
2014
J. Networks, 2014
Eng. Appl. Artif. Intell., 2014
Adv. Data Sci. Adapt. Anal., 2014
Air Pollution Exposure Estimation and Finding Association with Human Activity using Wearable Sensor Network.
Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis, 2014
Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis, 2014
Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014
A hierarchical learning approach to calibrate allele frequencies for SNP based genotyping of DNA pools.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
A neural network and SOM based approach to analyse periodic signals: Application to Oyster heart-rate data.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the Sixth International Conference on Ubiquitous and Future Networks, 2014
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2014
Identification of mature grape bunches using image processing and computational intelligence methods.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Multimedia, 2014
Proceedings of the 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2014
2013
Ensemble classifier generation using non-uniform layered clustering and Genetic Algorithm.
Knowl. Based Syst., 2013
Inf. Process. Manag., 2013
Benthic Habitat Mapping from Seabed Images using Ensemble of Color, Texture, and Edge Features.
Int. J. Comput. Intell. Syst., 2013
Cluster Based Ensemble Classifier Generation by Joint Optimization of accuracy and Diversity.
Int. J. Comput. Intell. Appl., 2013
Algae Growth Prediction through Identification of Influential Environmental Variables: a Machine Learning Approach.
Int. J. Comput. Intell. Appl., 2013
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013
Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, 2013
Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the Ninth International Conference on Natural Computation, 2013
Proceedings of the Ninth International Conference on Natural Computation, 2013
Proceedings of the Workshop on Machine Learning for Sensory Data Analysis, 2013
2012
Cluster-Oriented Ensemble Classifier: Impact of Multicluster Characterization on Ensemble Classifier Learning.
IEEE Trans. Knowl. Data Eng., 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012
2011
IEEE Trans. Neural Networks, 2011
An adaptive harmonic broadcasting scheme with download and playback synchronisation for video on demand.
Int. J. Multim. Intell. Secur., 2011
Ensemble classifier composition: Impact on feature based offline cursive character recognition.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
2010
A novel ensemble classifier approach using weak classifier learning on overlapping clusters.
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010
2009
Proceedings of the Guide to Wireless Ad Hoc Networks, 2009
IEEE Trans. Circuits Syst. Video Technol., 2009
Int. J. Comput. Intell. Syst., 2009
2008
Int. J. Inf. Commun. Technol., 2008
Int. J. Comput. Intell. Syst., 2008
J. Res. Pract. Inf. Technol., 2008
2007
A Temporal Texture Characterization Technique Using Block-Based Approximated Motion Measure.
IEEE Trans. Circuits Syst. Video Technol., 2007
Proceedings of the 6th ACM International Conference on Image and Video Retrieval, 2007
2005
Proceedings of the International Symposium on Information Technology: Coding and Computing (ITCC 2005), 2005
2004
Feature Weighting Methods for Abstract Features Applicable to Motion based Video Indexing.
Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04), 2004
Real-time temporal texture characterisation using block based motion co-occurrence statistics.
Proceedings of the 2004 International Conference on Image Processing, 2004