Abdur Forkan
Orcid: 0000-0003-0237-1705
According to our database1,
Abdur Forkan
authored at least 47 papers
between 2013 and 2024.
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Bibliography
2024
AIoT-CitySense: AI and IoT-Driven City-Scale Sensing for Roadside Infrastructure Maintenance.
Data Sci. Eng., March, 2024
5G enabled smart cities: A real-world evaluation and analysis of 5G using a pilot smart city application.
Internet Things, 2024
Are Standard CNNs Good Enough for No-Reference Stereoscopic Image Quality Assessment?
Proceedings of the International Conference on Signal Processing and Communications, 2024
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
2023
Sensors, April, 2023
VideoDL: Video-Based Digital Learning Framework Using AI Question Generation and Answer Assessment.
Int. J. Adv. Corp. Learn., March, 2023
WIREs Data Mining Knowl. Discov., 2023
IEEE Trans. Serv. Comput., 2023
Expert Syst. Appl., 2023
Using Task Technology Fit Theory to Guide the Codesign of Mobile Clinical Decision Support Systems.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
2022
Sensors, 2022
A Vision for Leveraging the Concept of Digital Twins to Support the Provision of Personalized Cancer Care.
IEEE Internet Comput., 2022
CorrDetector: A framework for structural corrosion detection from drone images using ensemble deep learning.
Expert Syst. Appl., 2022
Proceedings of the Advances in Mobile Computing and Multimedia Intelligence, 2022
Mobile IoT-RoadBot: an AI-powered mobile IoT solution for real-time roadside asset management.
Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
2021
Exploiting Heterogeneity for Opportunistic Resource Scaling in Cloud-Hosted Applications.
IEEE Trans. Serv. Comput., 2021
CoRR, 2021
An IIoT machine model for achieving consistency in product quality in manufacturing plants.
CoRR, 2021
ExpFinder: An Ensemble Expert Finding Model Integrating N-gram Vector Space Model and μCO-HITS.
CoRR, 2021
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021
MobileDLSearch: Ontology-based Mobile Platform for Effective Sharing and Reuse of Deep Learning Models.
Proceedings of the 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2021
Design and Development of a Diabetes Self-Management Platform: A Case for Responsible Information System Development.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
2020
WIREs Data Mining Knowl. Discov., 2020
An Internet-of-Things Solution to Assist Independent Living and Social Connectedness in Elderly.
ACM Trans. Soc. Comput., 2020
CoRR, 2020
Patient clustering using dynamic partitioning on correlated and uncertain biomedical data.
Comput. Methods Programs Biomed., 2020
MobDL: A Framework for Profiling Deep Learning Models: A Case Study using Mobile Digital Health Applications.
Proceedings of the MobiQuitous '20: Computing, 2020
A solution for annotating sensor data streams - An industrial use case in building management system.
Proceedings of the 21st IEEE International Conference on Mobile Data Management, 2020
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020
2019
IEEE Commun. Mag., 2019
VisCrimePredict: a system for crime trajectory prediction and visualisation from heterogeneous data sources.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019
AqVision: A Tool for Air Quality Data Visualisation and Pollution-Free Route Tracking for Smart City.
Proceedings of the 23rd International Conference in Information Visualization, 2019
An Industrial IoT Solution for Evaluating Workers' Performance Via Activity Recognition.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019
Proceedings of the 23rd International Symposium on Wearable Computers, ISWC 2019, London, 2019
HalleyAssist: A Personalised Internet of Things Technology to Assist the Elderly in Daily Living.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
Proceedings of the 2019 IEEE International Conference on Services Computing, 2019
2018
Visual Analytics Ontology-Guided I-DE System: A Case Study of Head and Neck Cancer in Australia.
Proceedings of the 4th IEEE International Conference on Collaboration and Internet Computing, 2018
2017
BDCaM: Big Data for Context-Aware Monitoring - A Personalized Knowledge Discovery Framework for Assisted Healthcare.
IEEE Trans. Cloud Comput., 2017
PEACE-Home: Probabilistic estimation of abnormal clinical events using vital sign correlations for reliable home-based monitoring.
Pervasive Mob. Comput., 2017
ViSiBiD: A learning model for early discovery and real-time prediction of severe clinical events using vital signs as big data.
Comput. Networks, 2017
A clinical decision-making mechanism for context-aware and patient-specific remote monitoring systems using the correlations of multiple vital signs.
Comput. Methods Programs Biomed., 2017
2016
A probabilistic model for early prediction of abnormal clinical events using vital sign correlations in home-based monitoring.
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communications, 2016
A Context-aware, Predictive and Protective Approach for Wellness Monitoring of Cardiac Patients.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2015
A context-aware approach for long-term behavioural change detection and abnormality prediction in ambient assisted living.
Pattern Recognit., 2015
2014
Future Gener. Comput. Syst., 2014
2013
Proceedings of the Computing in Cardiology, 2013