Farrukh Nadeem

Orcid: 0000-0003-2696-9736

Affiliations:
  • 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:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

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
Performance Evaluation of Xen, KVM, and Proxmox Hypervisors.
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
Predicting the execution time of grid workflow applications through local learning.
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

ASKALON: A Development and Grid Computing Environment for Scientific Workflows.
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


  Loading...