Farrukh Nadeem

26 papers A 1B 4C 2Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Weakly Supervised Deep Learning for Arabic Tweet Sentiment Analysis on Education Reforms: Leveraging Pre-Trained Models and LLMs With Snorkel. IEEE Access Alanoud Alotaibi, Farrukh Nadeem, Mohamed Hamdy El-Eliemy
2024	J	`jnl`	A scalable and lightweight group authentication framework for Internet of Medical Things using integrated blockchain and fog computing. Future Gener. Comput. Syst. Norah Alsaeed, Farrukh Nadeem, Faisal Albalwy
2024	J	`jnl`	Automated detection and labeling of posterior teeth in dental bitewing X-rays using deep learning. Comput. Biol. Medicine Mashail Alsolamy, Farrukh Nadeem, Amr Ahmed Azhari, Wafa Alsolami, Walaa Magdy Ahmed
2024	J	`jnl`	Leveraging Social Media and Deep Learning for Sentiment Analysis for Smart Governance: A Case Study of Public Reactions to Educational Reforms in Saudi Arabia. Comput. Alanoud Alotaibi, Farrukh Nadeem
2022	J	`jnl`	Evaluating and Ranking Cloud IaaS, PaaS and SaaS Models Based on Functional and Non-Functional Key Performance Indicators. IEEE Access Farrukh Nadeem
2022	C	`conf`	Machine Learning Models for Early Prediction of Asthma Attacks Based on Bio-signals and Environmental Triggers. AICCSA Eman T. Alharbi, Asma Cherif, Farrukh Nadeem, Tariq Mirza
2021	J	`jnl`	Predictive models for personalized asthma attacks based on patient's biosignals and environmental factors: a systematic review. BMC Medical Informatics Decis. Mak. Eman T. Alharbi, Farrukh Nadeem, Asma Cherif
2020	J	`jnl`	A Unified Framework for User-Preferred Multi-Level Ranking of Cloud Computing Services Based on Usability and Quality of Service Evaluation. IEEE Access Farrukh Nadeem
2020	J	`jnl`	Predicting and reducing "hospital-acquired infections" using a knowledge-based e-surveillance system. Expert Syst. J. Knowl. Eng. Amin Y. Noaman, Abdul Hamid M. Ragab, Nabeela Al-Abdullah, Arwa A. Jamjoom, Farrukh Nadeem, Anser G. Ali
2019	J	`jnl`	Using Machine Learning Ensemble Methods to Predict Execution Time of e-Science Workflows in Heterogeneous Distributed Systems. IEEE Access Farrukh Nadeem, Daniyal M. Alghazzawi, Abdulfattah S. Mashat, Khalid Faqeeh, Abdullah Al-Malaise Al-Ghamdi
2019	J	`jnl`	Using radial basis function neural network to predict dynamic resource availability in heterogeneous distributed environments. J. Intell. Fuzzy Syst. Farrukh Nadeem
2018	—	`conf`	Knowledge Based e-Health Surveillance System for Predicting Hospital Acquired Infections. COMPSAC (2) Amin Y. Noaman, Nabeela Al-Abdullah, Arwa A. Jamjoom, Abdul Hamid M. Ragab, Farrukh Nadeem, Anser G. Ali
2018	J	`jnl`	Performance Evaluation of Xen, KVM, and Proxmox Hypervisors. Int. J. Open Source Softw. Process. Sultan Abdullah Algarni, Mohammad Rafi Ikbal, Roobaea Alroobaea, Ahmed S. Ghiduk, Farrukh Nadeem
2018	—	`conf`	Pre-trained Word Embeddings for Arabic Aspect-Based Sentiment Analysis of Airline Tweets. AISI Mohammed Matuq Ashi, Muazzam Ahmed Siddiqui, Farrukh Nadeem
2017	J	`jnl`	Modeling and predicting execution time of scientific workflows in the Grid using radial basis function neural network. Clust. Comput. Farrukh Nadeem, Daniyal M. Alghazzawi, Abdulfattah S. Mashat, Khalid Fakeeh, Abdullah Al-Malaise Al-Ghamdi, Hani Hagras
2015	J	`jnl`	An Early Evaluation and Comparison of Three Private Cloud Computing Software Platforms. J. Comput. Sci. Technol. Farrukh Nadeem, Rizwan Qaiser
2013	J	`jnl`	Optimizing execution time predictions of scientific workflow applications in the Grid through evolutionary programming. Future Gener. Comput. Syst. Farrukh Nadeem, Thomas Fahringer
2012	—	`conf`	Interactive case based learning in teaching decision support systems and business intelligence. Interacción Salma Mahgoub, Farrukh Nadeem
2009	B	`conf`	A Hybrid Intelligent Method for Performance Modeling and Prediction of Workflow Activities in Grids. CCGRID Rubing Duan, Farrukh Nadeem, Jie Wang, Yun Zhang, Radu Prodan, Thomas Fahringer
2009	A	`conf`	Predicting the execution time of grid workflow applications through local learning. SC Farrukh Nadeem, Thomas Fahringer
2009	B	`conf`	Using Templates to Predict Execution Time of Scientific Workflow Applications in the Grid. CCGRID Farrukh Nadeem, Thomas Fahringer
2008	—	`conf`	A Framework For Resource Availability Characterization And Online Prediction In The Grids. CoreGRID Integration Workshop Farrukh Nadeem, Radu Prodan, Thomas Fahringer, Alexandru Iosup
2008	B	`conf`	Characterizing, Modeling and Predicting Dynamic Resource Availability in a Large Scale Multi-purpose Grid. CCGRID Farrukh Nadeem, Radu Prodan, Thomas Fahringer
2007	—	`ch.`	ASKALON: A Development and Grid Computing Environment for Scientific Workflows. Workflows for e-Science, Scientific Workflows for Grids Thomas Fahringer, Radu Prodan, Rubing Duan, Jürgen Hofer, Farrukh Nadeem, Francesco Nerieri, Stefan Podlipnig, Jun Qin, Mumtaz Siddiqui, Hong Linh Truong, Alex Villazón, Marek Wieczorek
2007	C	`conf`	Optimizing Performance of Automatic Training Phase for Application Performance Prediction in the Grid. HPCC Farrukh Nadeem, Radu Prodan, Thomas Fahringer
2006	B	`conf`	Soft Benchmarks-Based Application Performance Prediction Using a Minimum Training Set. e-Science Farrukh Nadeem, Muhammad Murtaza Yousaf, Radu Prodan, Thomas Fahringer