Farrukh Nadeem
Orcid: 0000-0003-2696-9736Affiliations:
- King Abdulaziz University, Department of Information Systems, Jeddah, Saudi Arabia
According to our database1,
Farrukh Nadeem
authored at least 23 papers
between 2006 and 2024.
Collaborative distances:
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Bibliography
2024
A scalable and lightweight group authentication framework for Internet of Medical Things using integrated blockchain and fog computing.
Future Gener. Comput. Syst., February, 2024
2022
Evaluating and Ranking Cloud IaaS, PaaS and SaaS Models Based on Functional and Non-Functional Key Performance Indicators.
IEEE Access, 2022
Machine Learning Models for Early Prediction of Asthma Attacks Based on Bio-signals and Environmental Triggers.
Proceedings of the 19th IEEE/ACS International Conference on Computer Systems and Applications, 2022
2021
Predictive models for personalized asthma attacks based on patient's biosignals and environmental factors: a systematic review.
BMC Medical Informatics Decis. Mak., 2021
2020
Predicting and reducing "hospital-acquired infections" using a knowledge-based e-surveillance system.
Expert Syst. J. Knowl. Eng., 2020
A Unified Framework for User-Preferred Multi-Level Ranking of Cloud Computing Services Based on Usability and Quality of Service Evaluation.
IEEE Access, 2020
2019
Using radial basis function neural network to predict dynamic resource availability in heterogeneous distributed environments.
J. Intell. Fuzzy Syst., 2019
Using Machine Learning Ensemble Methods to Predict Execution Time of e-Science Workflows in Heterogeneous Distributed Systems.
IEEE Access, 2019
2018
Int. J. Open Source Softw. Process., 2018
Knowledge Based e-Health Surveillance System for Predicting Hospital Acquired Infections.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018
Pre-trained Word Embeddings for Arabic Aspect-Based Sentiment Analysis of Airline Tweets.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, 2018
2017
Modeling and predicting execution time of scientific workflows in the Grid using radial basis function neural network.
Clust. Comput., 2017
2015
An Early Evaluation and Comparison of Three Private Cloud Computing Software Platforms.
J. Comput. Sci. Technol., 2015
2013
Optimizing execution time predictions of scientific workflow applications in the Grid through evolutionary programming.
Future Gener. Comput. Syst., 2013
2012
Interactive case based learning in teaching decision support systems and business intelligence.
Proceedings of the 13th International Conference on Interacción Persona-Ordenador, 2012
2009
Proceedings of the ACM/IEEE Conference on High Performance Computing, 2009
Using Templates to Predict Execution Time of Scientific Workflow Applications in the Grid.
Proceedings of the 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, 2009
A Hybrid Intelligent Method for Performance Modeling and Prediction of Workflow Activities in Grids.
Proceedings of the 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, 2009
2008
A Framework For Resource Availability Characterization And Online Prediction In The Grids.
Proceedings of the Grid Computing, 2008
Characterizing, Modeling and Predicting Dynamic Resource Availability in a Large Scale Multi-purpose Grid.
Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2008), 2008
2007
Optimizing Performance of Automatic Training Phase for Application Performance Prediction in the Grid.
Proceedings of the High Performance Computing and Communications, 2007
Proceedings of the Workflows for e-Science, Scientific Workflows for Grids., 2007
2006
Soft Benchmarks-Based Application Performance Prediction Using a Minimum Training Set.
Proceedings of the Second International Conference on e-Science and Grid Technologies (e-Science 2006), 2006