Ashfaqur Rahman

Orcid: 0000-0002-0236-5447

According to our database1, Ashfaqur Rahman authored at least 101 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

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

Explainable Image Recognition With Graph-Based Feature Extraction.
IEEE Access, 2024

2023
A Semi-supervised Approach for Activity Recognition from Indoor Trajectory Data.
CoRR, 2023

What's The Point: AutoEncoding Building Point Names.
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

Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

Automatic Classification of Sensors in Buildings: Learning from Time Series Data.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022
Robotic Edge Resource Allocation for Agricultural Cyber-Physical System.
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

Deep Learning for Prawn Farming - Forecasting and Anomaly Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

A Novel Explainable Deep Learning Model with Class Specific Features.
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

Energy-efficient optimal task offloading in cloud networked multi-robot systems.
Comput. Networks, 2019

Identification of variables affecting production outcome in prawn ponds: A machine learning approach.
Comput. Electron. Agric., 2019

Selective Adversarial Learning for Mobile Malware.
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

Mobile Malware Detection: An Analysis of Deep Learning Model.
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

Sequence-to-Sequence Imputation of Missing Sensor Data.
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

Comparison and Sensitivity Analysis of Methods for Solar PV Power Prediction.
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
A SiC CMOS Digitally Controlled PWM Generator for High-Temperature Applications.
IEEE Trans. Ind. Electron., 2017

Wind Power Prediction Using Cluster Based Ensemble Regression.
Int. J. Comput. Intell. Appl., 2017

Channel Transition Invariant Fast Broadcasting Scheme.
CoRR, 2017

Thermal Stratification Prediction at Lake Trevallyn.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

Behavior Classification of Dairy Cows Fitted with GPS Collars.
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

Motion and Connectivity Aware Offloading in Cloud Robotics via Genetic Algorithm.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
Cloud-Enhanced Robotic System for Smart City Crowd Control.
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

Detecting heat events in dairy cows using accelerometers and unsupervised learning.
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

A Cloud Robotics Framework of Optimal Task Offloading for Smart City Applications.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

An Effective Spatio-Temporal Approach for Predicting Future Semantic Locations.
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

Machine learning approach for pooled DNA sample calibration.
BMC Bioinform., 2015

2014
A Robust Data Gathering Technique for Large Scaled Wireless Sensor Networks.
J. Networks, 2014

Ensemble aggregation methods for relocating models of rare events.
Eng. Appl. Artif. Intell., 2014

A Multiple Classifier System for Predicting with missing Sensor Values.
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

Distributed Feature Selection with Big Sensor Data.
Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis, 2014

Personalising pollution exposure estimates using wearable activity sensors.
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

Improving air pollution forecast with ubiquitous mobile sensor network.
Proceedings of the Sixth International Conference on Ubiquitous and Future Networks, 2014

An investigation of cow feeding behavior using motion sensors.
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

A time series ensemble method to predict wind power.
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

Effect of ensemble classifier composition on offline cursive character recognition.
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

Cluster-based ensemble of classifiers.
Expert Syst. J. Knowl. Eng., 2013

Similarity Weighted Ensembles for Relocating Models of Rare Events.
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

Multiple classifier system for automated quality assessment of marine sensor data.
Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, 2013

Dealing with missing sensor values in predicting shellfish farm closure.
Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, 2013

Impute vs. Ignore: Missing values for prediction.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Cluster oriented ensemble classifiers using multi-objective evolutionary algorithm.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Exploring mineral domains with genetic algorithm.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Applying context in appliance load identification.
Proceedings of the Ninth International Conference on Natural Computation, 2013

Spatial-temporal prediction of algal bloom.
Proceedings of the Ninth International Conference on Natural Computation, 2013

Ensemble Feature Ranking for Shellfish Farm Closure Cause Identification.
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

An hierarchical approach towards road image segmentation.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Influence of unstable patterns in layered cluster oriented ensemble classifier.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Predicting Shellfish Farm Closures with Class Balancing Methods.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011
Novel Layered Clustering-Based Approach for Generating Ensemble of Classifiers.
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

Non-uniform Layered Clustering for Ensemble Classifier Generation and Optimality.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

2009
Quality of Service Support in Wireless Ad Hoc Networks.
Proceedings of the Guide to Wireless Ad Hoc Networks, 2009

Detection of Multiple Dynamic Textures Using Feature Space Mapping.
IEEE Trans. Circuits Syst. Video Technol., 2009

Feature Weighting and Retrieval Methods for Dynamic Texture Motion Features.
Int. J. Comput. Intell. Syst., 2009

2008
Location finding using computer vision based approach.
Int. J. Inf. Commun. Technol., 2008

Periodicity estimation of Dynamic Textures.
Int. J. Inf. Commun. Technol., 2008

An Image Based Approach to Compute Object Distance.
Int. J. Comput. Intell. Syst., 2008

Dynamic Texture Synthesis Using Motion Distribution Statistics.
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

Multiple temporal texture detection using feature space mapping.
Proceedings of the 6th ACM International Conference on Image and Video Retrieval, 2007

2005
A Robust Optical Flow Estimation Algorithm for Temporal Textures.
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


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