Farrukh Nadeem

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 12

Top Topics

Radial Basis Function Neural Network

Top Venues

Future Gener. Comput. Syst.

Expert Syst. J. Knowl. Eng.

Publications

Norah Alsaeed, Farrukh Nadeem, Faisal Albalwy
A scalable and lightweight group authentication framework for Internet of Medical Things using integrated blockchain and fog computing. Future Gener. Comput. Syst. 151 (2024)
Eman T. Alharbi, Asma Cherif, Farrukh Nadeem, Tariq Mirza
Machine Learning Models for Early Prediction of Asthma Attacks Based on Bio-signals and Environmental Triggers. AICCSA (2022)
Farrukh Nadeem
Evaluating and Ranking Cloud IaaS, PaaS and SaaS Models Based on Functional and Non-Functional Key Performance Indicators. IEEE Access 10 (2022)
Eman T. Alharbi, Farrukh Nadeem, Asma Cherif
Predictive models for personalized asthma attacks based on patient's biosignals and environmental factors: a systematic review. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Amin Y. Noaman, Abdul Hamid M. Ragab, Nabeela Al-Abdullah, Arwa A. Jamjoom, Farrukh Nadeem, Anser G. Ali
Predicting and reducing "hospital-acquired infections" using a knowledge-based e-surveillance system. Expert Syst. J. Knowl. Eng. 37 (1) (2020)
Farrukh Nadeem
A Unified Framework for User-Preferred Multi-Level Ranking of Cloud Computing Services Based on Usability and Quality of Service Evaluation. IEEE Access 8 (2020)
Farrukh Nadeem
Using radial basis function neural network to predict dynamic resource availability in heterogeneous distributed environments. J. Intell. Fuzzy Syst. 37 (4) (2019)
Farrukh Nadeem, Daniyal M. Alghazzawi, Abdulfattah S. Mashat, Khalid Faqeeh, Abdullah Al-Malaise Al-Ghamdi
Using Machine Learning Ensemble Methods to Predict Execution Time of e-Science Workflows in Heterogeneous Distributed Systems. IEEE Access 7 (2019)
Amin Y. Noaman, Nabeela Al-Abdullah, Arwa A. Jamjoom, Abdul Hamid M. Ragab, Farrukh Nadeem, Anser G. Ali
Knowledge Based e-Health Surveillance System for Predicting Hospital Acquired Infections. COMPSAC (2) (2018)
Mohammed Matuq Ashi, Muazzam Ahmed Siddiqui, Farrukh Nadeem
Pre-trained Word Embeddings for Arabic Aspect-Based Sentiment Analysis of Airline Tweets. AISI (2018)
Sultan Abdullah Algarni, Mohammad Rafi Ikbal, Roobaea Alroobaea, Ahmed S. Ghiduk, Farrukh Nadeem
Performance Evaluation of Xen, KVM, and Proxmox Hypervisors. Int. J. Open Source Softw. Process. 9 (2) (2018)
Farrukh Nadeem, Daniyal M. Alghazzawi, Abdulfattah S. Mashat, Khalid Fakeeh, Abdullah Al-Malaise Al-Ghamdi, Hani Hagras
Modeling and predicting execution time of scientific workflows in the Grid using radial basis function neural network. Clust. Comput. 20 (3) (2017)
Farrukh Nadeem, Rizwan Qaiser
An Early Evaluation and Comparison of Three Private Cloud Computing Software Platforms. J. Comput. Sci. Technol. 30 (3) (2015)
Farrukh Nadeem, Thomas Fahringer
Optimizing execution time predictions of scientific workflow applications in the Grid through evolutionary programming. Future Gener. Comput. Syst. 29 (4) (2013)
Salma Mahgoub, Farrukh Nadeem
Interactive case based learning in teaching decision support systems and business intelligence. Interacción (2012)
Farrukh Nadeem, Thomas Fahringer
Using Templates to Predict Execution Time of Scientific Workflow Applications in the Grid. CCGRID (2009)
Farrukh Nadeem, Thomas Fahringer
Predicting the execution time of grid workflow applications through local learning. SC (2009)
Rubing Duan, Farrukh Nadeem, Jie Wang, Yun Zhang, Radu Prodan, Thomas Fahringer
A Hybrid Intelligent Method for Performance Modeling and Prediction of Workflow Activities in Grids. CCGRID (2009)
Farrukh Nadeem, Radu Prodan, Thomas Fahringer
Characterizing, Modeling and Predicting Dynamic Resource Availability in a Large Scale Multi-purpose Grid. CCGRID (2008)
Farrukh Nadeem, Radu Prodan, Thomas Fahringer, Alexandru Iosup
A Framework For Resource Availability Characterization And Online Prediction In The Grids. CoreGRID Integration Workshop (2008)
Farrukh Nadeem, Radu Prodan, Thomas Fahringer
Optimizing Performance of Automatic Training Phase for Application Performance Prediction in the Grid. HPCC (2007)
Farrukh Nadeem, Muhammad Murtaza Yousaf, Radu Prodan, Thomas Fahringer
Soft Benchmarks-Based Application Performance Prediction Using a Minimum Training Set. e-Science (2006)