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Zahra Sedighi-Maman
Zahra Sedighi-Maman
Associate Professor of Business Analytics, Adelphi University
adelphi.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
2632017
A data analytic framework for physical fatigue management using wearable sensors
Z Sedighi Maman, YJ Chen, A Baghdadi, S Lombardo, LA Cavuoto, ...
Expert Systems With Applications, 2020
1192020
A two-stage modeling approach for breast cancer survivability prediction
Z Sedighi-Maman, A Mondello
International journal of medical informatics 149, 104438, 2021
242021
Effects of task type, task duration, and age on body kinematics and subjective fatigue
A Baghdadi, ZS Maman, L Lu, LA Cavuoto, FM Megahed
Proceedings of the human factors and ergonomics society annual meeting 61 (1 …, 2017
112017
Monitoring and change point estimation of normal (in-control) and fatigued (out-of-control) state in workers
Z Sedighi Maman, A Baghdadi, F Megahed, L Cavuoto
International Design Engineering Technical Conferences and Computers and …, 2016
112016
Segmentation of white matter, grey matter and cerebrospinal fluid from brain MR images using a modified FCM based on double estimation
M Tavakoli-Zaniani, Z Sedighi-Maman, MHF Zarandi
Biomedical Signal Processing and Control 68, 102615, 2021
102021
PHYSICAL FATIGUE MANAGEMENT
ZS Maman, L Lu, FM Megahed, LA Cavuoto
Professional Safety 64 (6), 26-27, 2019
4*2019
A short note on the effect of sample size on the estimation error in Cp
Z Sedighi Maman, WW Murphy, S Maghsoodloo, F Haji Ahmadi, ...
Quality Engineering 28 (4), 455-466, 2016
32016
Prediction of adverse drug reactions using demographic and non-clinical drug characteristics in FAERS data
A Farnoush, Z Sedighi-Maman, B Rasoolian, JJ Heath, B Fallah
Scientific Reports 14 (1), 23636, 2024
12024
An Interpretable Two-Phase Modeling Approach for Lung Cancer Survivability Prediction
Z Sedighi-Maman, JJ Heath
Sensors 22 (18), 6783, 2022
12022
" COVID vaccine" Google searches predict increases in percent anxiety and depression within the United States
S Shirzaei, Z Sedighi-Maman, JJ Heath, S Abolmaali
Minerva Psychiatry 63 (2), 121-4, 2022
12022
Histologic comparison of inflammatory cells in the penile and preputial epithelium of young vs mature beef bulls
JB Rush, MA Edmondson, J Roberts, T Passler, DF Wolfe, H Maxwell, ...
American Association of Bovine Practitioners Conference Proceedings, 376-376, 2019
12019
Author Correction: Prediction of adverse drug reactions using demographic and non-clinical drug characteristics in FAERS data
A Farnoush, Z Sedighi-Maman, B Rasoolian, JJ Heath, B Fallah
Scientific Reports 14, 28879, 2024
2024
Correction to: Modelling the Effects of Exogenous Changes on the Social Problem of Capital Allocation
RS Goldberg, Z Sedighi-Maman, M Torras
International Advances in Economic Research 30 (3), 355-355, 2024
2024
Modelling the Effects of Exogenous Changes on the Social Problem of Capital Allocation
RS Goldberg, Z Sedighi-Maman, M Torras
International Advances in Economic Research 30 (3), 351-353, 2024
2024
Study on the Surge of Covid-19 in USA using Data Visualization
ZSM Quang Dao Tran, Huu Lam Nguyen, Rengalakshmi Balasubramanian
Eighteenth Annual Adelphi University Scholarship and Creative Works Conference, 2021
2021
Voice Characteristics of Female College Athletes: A Pilot Study
SR Cox, S Milillo, ZS Maman
Perspectives of the ASHA Special Interest Groups 5 (1), 113-118, 2020
2020
Evaluation of nutrient content of water-soaked southeastern grass hays as a means to limit carbohydrates consumed in equine diets
JG Debra Taylor, Leah Guidry, Will Justus, Enrico Tegazzin, Zahra Sedighi Maman
Journal of Veterinary Medicine and Research, 2018
2018
A Data Driven Framework to Predict the Fatigue among Manufacturing Workers Using Wearable Sensors
Z Sedighi Maman
2018
A Data Driven Framework to Predict the Fatigue Among Manufacturing Workers Using Wearable Sensors
ZS Maman
Auburn University, 2018
2018
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Makaleler 1–20