Fadel M. Megahed
Fadel M. Megahed
Associate Professor of Business Analytics, Miami University
Verified email at miamioh.edu - Homepage
Title
Cited by
Cited by
Year
A data-driven approach to modeling physical fatigue in the workplace using wearable sensors
ZS Maman, MAA Yazdi, LA Cavuoto, FM Megahed
Applied ergonomics 65, 515-529, 2017
1232017
Stock market one-day ahead movement prediction using disparate data sources
B Weng, MA Ahmed, FM Megahed
Expert Systems with Applications 79, 153-163, 2017
1172017
A review and perspective on control charting with image data
FM Megahed, WH Woodall, JA Camelio
Journal of quality technology 43 (2), 83-98, 2011
1152011
Predicting short-term stock prices using ensemble methods and online data sources
B Weng, L Lu, X Wang, FM Megahed, W Martinez
Expert Systems with Applications 112, 258-273, 2018
1102018
Exponential CUSUM charts with estimated control limits
M Zhang, FM Megahed, WH Woodall
Quality and Reliability Engineering International 30 (2), 275-286, 2014
1042014
Geometric charts with estimated control limits
M Zhang, Y Peng, A Schuh, FM Megahed, WH Woodall
Quality and Reliability Engineering International 29 (2), 209-223, 2013
872013
A spatiotemporal method for the monitoring of image data
FM Megahed, LJ Wells, JA Camelio, WH Woodall
Quality and Reliability Engineering International 28 (8), 967-980, 2012
802012
Predicting heart transplantation outcomes through data analytics
A Dag, A Oztekin, A Yucel, S Bulur, FM Megahed
Decision Support Systems 94, 42-52, 2017
692017
Statistical Perspectives on 'Big Data'
FM Megahed, LA Jones-Farmer
Frontiers in Statistical Quality Control 11, 29-47, 2015
662015
A probabilistic data-driven framework for scoring the preoperative recipient-donor heart transplant survival
A Dag, K Topuz, A Oztekin, S Bulur, FM Megahed
Decision Support Systems 86, 1-12, 2016
552016
Real-time fault detection in manufacturing environments using face recognition techniques
FM Megahed, JA Camelio
Journal of Intelligent Manufacturing 23 (3), 393-408, 2012
522012
Statistical process monitoring approach for high-density point clouds
LJ Wells, FM Megahed, CB Niziolek, JA Camelio, WH Woodall
Journal of Intelligent Manufacturing 24 (6), 1267-1279, 2013
492013
A survey of the prevalence of fatigue, its precursors and individual coping mechanisms among US manufacturing workers
L Lu, FM Megahed, RF Sesek, LA Cavuoto
Applied Ergonomics 65, 139-151, 2017
462017
Statistical learning methods applied to process monitoring: An overview and perspective
M Weese, W Martinez, FM Megahed, LA Jones-Farmer
Journal of Quality Technology 48 (1), 4-24, 2016
452016
A machine learning approach to detect changes in gait parameters following a fatiguing occupational task
A Baghdadi, FM Megahed, ET Esfahani, LA Cavuoto
Ergonomics 61 (8), 1116-1129, 2018
432018
A data analytic framework for physical fatigue management using wearable sensors
ZS Maman, YJ Chen, A Baghdadi, S Lombardo, LA Cavuoto, ...
Expert Systems with Applications 155, 113405, 2020
292020
A framework for variation visualization and understanding in complex manufacturing systems
LJ Wells, FM Megahed, JA Camelio, WH Woodall
Journal of Intelligent Manufacturing 23 (5), 2025-2036, 2012
282012
An image-based multivariate generalized likelihood ratio control chart for detecting and diagnosing multiple faults in manufactured products
Z He, L Zuo, M Zhang, FM Megahed
International Journal of Production Research 54 (6), 1771-1784, 2016
272016
Understanding Fatigue and the Implications for Worker Safety
L Cavuoto, F Megahed
ASSE Professional Development Conference and Exposition, 2016
212016
Macroeconomic indicators alone can predict the monthly closing price of major US indices: Insights from artificial intelligence, time-series analysis and hybrid models
B Weng, W Martinez, YT Tsai, C Li, L Lu, JR Barth, FM Megahed
Applied Soft Computing 71, 685-697, 2018
192018
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