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Fadel M Megahed

Showing results (11-20 of 19) with videos related to

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Nature Methods|October 16, 2021
The class imbalance problemFadel M Megahed, Ying-Ju Chen, Aly Megahed, et al.
Applied Ergonomics|March 14, 2022
A data analytic end-to-end framework for the automated quantification of ergonomic risk factors across multiple tasks using a single wearable sensorSaeb Ragani Lamooki, Sahand Hajifar, Jiyeon Kang, et al.
Big Data|October 6, 2021
Explaining Predictive Model Performance: An Experimental Study of Data Preparation and Model ChoiceHamidreza Ahady Dolatsara, Ying-Ju Chen, Robert D Leonard, et al.
Applied Ergonomics|September 14, 2020
A forecasting framework for predicting perceived fatigue: Using time series methods to forecast ratings of perceived exertion with features from wearable sensorsSahand Hajifar, Hongyue Sun, Fadel M Megahed, et al.
Nature Methods|March 23, 2024
Comparing classifier performance with baselinesFadel M Megahed, Ying-Ju Chen, L Allison Jones-Farmer, et al.
Journal of Occupational and Environmental Hygiene|February 17, 2023
The relationship between ratings of perceived exertion (RPE) and relative strength for a fatiguing dynamic upper extremity task: A consideration of multiple cycles and conditionsZahra Vahedi, Setareh Kazemi Kheiri, Sahand Hajifar, et al.
Accident; Analysis and Prevention|July 13, 2021
Predicting unsafe driving risk among commercial truck drivers using machine learning: Lessons learned from the surveillance of 20 million driving milesAmir Mehdizadeh, Mohammad Ali Alamdar Yazdi, Miao Cai, et al.
Sensors (Basel, Switzerland)|February 22, 2020
A Review of Data Analytic Applications in Road Traffic Safety. Part 2: Prescriptive ModelingQiong Hu, Miao Cai, Nasrin Mohabbati-Kalejahi, et al.
Sensors (Basel, Switzerland)|February 23, 2020
A Review of Data Analytic Applications in Road Traffic Safety. Part 1: Descriptive and Predictive ModelingAmir Mehdizadeh, Miao Cai, Qiong Hu, et al.
Pageof 2

Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
Nature Methods|October 16, 2021
The class imbalance problemFadel M Megahed, Ying-Ju Chen, Aly Megahed, et al.
Applied Ergonomics|March 14, 2022
A data analytic end-to-end framework for the automated quantification of ergonomic risk factors across multiple tasks using a single wearable sensorSaeb Ragani Lamooki, Sahand Hajifar, Jiyeon Kang, et al.
Big Data|October 6, 2021
Explaining Predictive Model Performance: An Experimental Study of Data Preparation and Model ChoiceHamidreza Ahady Dolatsara, Ying-Ju Chen, Robert D Leonard, et al.
Applied Ergonomics|September 14, 2020
A forecasting framework for predicting perceived fatigue: Using time series methods to forecast ratings of perceived exertion with features from wearable sensorsSahand Hajifar, Hongyue Sun, Fadel M Megahed, et al.
Nature Methods|March 23, 2024
Comparing classifier performance with baselinesFadel M Megahed, Ying-Ju Chen, L Allison Jones-Farmer, et al.
Journal of Occupational and Environmental Hygiene|February 17, 2023
The relationship between ratings of perceived exertion (RPE) and relative strength for a fatiguing dynamic upper extremity task: A consideration of multiple cycles and conditionsZahra Vahedi, Setareh Kazemi Kheiri, Sahand Hajifar, et al.
Accident; Analysis and Prevention|July 13, 2021
Predicting unsafe driving risk among commercial truck drivers using machine learning: Lessons learned from the surveillance of 20 million driving milesAmir Mehdizadeh, Mohammad Ali Alamdar Yazdi, Miao Cai, et al.
Sensors (Basel, Switzerland)|February 22, 2020
A Review of Data Analytic Applications in Road Traffic Safety. Part 2: Prescriptive ModelingQiong Hu, Miao Cai, Nasrin Mohabbati-Kalejahi, et al.
Sensors (Basel, Switzerland)|February 23, 2020
A Review of Data Analytic Applications in Road Traffic Safety. Part 1: Descriptive and Predictive ModelingAmir Mehdizadeh, Miao Cai, Qiong Hu, et al.
Pageof 2