Fadel M. Megahed
Fadel M. Megahed
University Faculty Scholar, Miami University
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
Exponential CUSUM charts with estimated control limits
M Zhang, FM Megahed, WH Woodall
Quality and Reliability Engineering International 30 (2), 275-286, 2014
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
Predicting heart transplantation outcomes through data analytics
A Dag, A Oztekin, A Yucel, S Bulur, FM Megahed
Decision Support Systems 94, 42-52, 2017
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
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
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
How generative AI models such as ChatGPT can be (mis) used in SPC practice, education, and research? An exploratory study
FM Megahed, YJ Chen, JA Ferris, S Knoth, LA Jones-Farmer
Quality Engineering 36 (2), 287-315, 2024
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
Statistical Perspectives on 'Big Data'
FM Megahed, LA Jones-Farmer
Frontiers in Statistical Quality Control 11, 29-47, 2015
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
Statistical process monitoring approach for high-density point clouds
LJ Wells, FM Megahed, CB Niziolek, JA Camelio, WH Woodall
Journal of Intelligent Manufacturing 24, 1267-1279, 2013
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
The class imbalance problem
FM Megahed, YJ Chen, A Megahed, Y Ong, N Altman, M Krzywinski
Nat. Methods 18 (11), 1270-1272, 2021
Monitoring worker fatigue using wearable devices: A case study to detect changes in gait parameters
A Baghdadi, LA Cavuoto, A Jones-Farmer, SE Rigdon, ET Esfahani, ...
Journal of Quality Technology 53 (1), 47-71, 2021
Real-time fault detection in manufacturing environments using face recognition techniques
FM Megahed, JA Camelio
Journal of Intelligent manufacturing 23, 393-408, 2012
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
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