Author Info
Name
Affiliation
Papers
FARRUKH NADEEM
National University of Computer and Emerging Sciences, Lahore, Pakistan and University of Innsbruck, Austria
14
Collaborators
Citations 
PageRank 
23
116
8.06
Referers 
Referees 
References 
268
309
157
Search Limit
100309
Title
Citations
PageRank
Year
Predicting and reducing “hospital‐acquired infections” using a knowledge‐based e‐surveillance system00.342020
Using radial basis function neural network to predict dynamic resource availability in heterogeneous distributed environments.00.342019
Using Machine Learning Ensemble Methods to Predict Execution Time of e-Science Workflows in Heterogeneous Distributed Systems.00.342019
Performance Evaluation of Xen, KVM, and Proxmox Hypervisors00.342018
Knowledge Based e-Health Surveillance System for Predicting Hospital Acquired Infections00.342018
Modeling and predicting execution time of scientific workflows in the Grid using radial basis function neural network.30.412017
Optimizing execution time predictions of scientific workflow applications in the Grid through evolutionary programming80.452013
Interactive case based learning in teaching decision support systems and business intelligence20.382012
Predicting the execution time of grid workflow applications through local learning170.802009
A Hybrid Intelligent Method for Performance Modeling and Prediction of Workflow Activities in Grids300.982009
Using Templates to Predict Execution Time of Scientific Workflow Applications in the Grid190.772009
Characterizing, Modeling and Predicting Dynamic Resource Availability in a Large Scale Multi-purpose Grid120.712008
Optimizing performance of automatic training phase for application performance prediction in the grid00.342007
Soft Benchmarks-Based Application Performance Prediction Using a Minimum Training Set251.532006