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Ambreen Shafqat

Showing results (1-10 of 10) with videos related to

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Geohealth|December 11, 2025
Broad Applications of Distributed Lag Non-Linear Model in Public Health: A Comprehensive ReviewAmbreen Shafqat, Eunsik Park
Scientific Reports|September 30, 2023
Efficient signed-rank based EWMA and HWMA repetitive control charts for monitoring process mean with and without auxiliary informationAmbreen Shafqat, Huang Zhensheng, Muhammad Aslam
Brain Research Bulletin|June 2, 2024
Mental workload evaluation using weighted phase lag index and coherence features extracted from EEG dataSomayeh B Shafiei, Saeed Shadpour, Ambreen Shafqat
Epidemiology and Infection|May 19, 2023
Prediction of the COVID-19 transmission: a case study of PakistanQurat Ul An Sabir, Ambreen Shafqat, Muhammad Aslam
BMC Palliative Care|October 17, 2022
Exploring the psychological and religious perspectives of cancer patients and their future financial planning: a Q-methodological approachKanwal Iqbal Khan, Qurat Ul An Sabir, Ambreen Shafqat, et al.
Plos One|February 4, 2021
A new CUSUM control chart under uncertainty with applications in petroleum and meteorologyMuhammad Aslam, Ambreen Shafqat, Mohammed Albassam, et al.
Surgical Endoscopy|September 21, 2023
Performance and learning rate prediction models development in FLS and RAS surgical tasks using electroencephalogram and eye gaze data and machine learningSomayeh B Shafiei, Saeed Shadpour, Xavier Intes, et al.
Npj Aging|October 6, 2023
Developing cognitive workload and performance evaluation models using functional brain network analysisSaeed Shadpour, Ambreen Shafqat, Serkan Toy, et al.
Journal of Robotic Surgery|October 20, 2023
Surgical skill level classification model development using EEG and eye-gaze data and machine learning algorithmsSomayeh B Shafiei, Saeed Shadpour, James L Mohler, et al.
Scientific Reports|June 25, 2024
Prediction of Robotic Anastomosis Competency Evaluation (RACE) metrics during vesico-urethral anastomosis using electroencephalography, eye-tracking, and machine learningSomayeh B Shafiei, Saeed Shadpour, James L Mohler, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Geohealth|December 11, 2025
Broad Applications of Distributed Lag Non-Linear Model in Public Health: A Comprehensive ReviewAmbreen Shafqat, Eunsik Park
Scientific Reports|September 30, 2023
Efficient signed-rank based EWMA and HWMA repetitive control charts for monitoring process mean with and without auxiliary informationAmbreen Shafqat, Huang Zhensheng, Muhammad Aslam
Brain Research Bulletin|June 2, 2024
Mental workload evaluation using weighted phase lag index and coherence features extracted from EEG dataSomayeh B Shafiei, Saeed Shadpour, Ambreen Shafqat
Epidemiology and Infection|May 19, 2023
Prediction of the COVID-19 transmission: a case study of PakistanQurat Ul An Sabir, Ambreen Shafqat, Muhammad Aslam
BMC Palliative Care|October 17, 2022
Exploring the psychological and religious perspectives of cancer patients and their future financial planning: a Q-methodological approachKanwal Iqbal Khan, Qurat Ul An Sabir, Ambreen Shafqat, et al.
Plos One|February 4, 2021
A new CUSUM control chart under uncertainty with applications in petroleum and meteorologyMuhammad Aslam, Ambreen Shafqat, Mohammed Albassam, et al.
Surgical Endoscopy|September 21, 2023
Performance and learning rate prediction models development in FLS and RAS surgical tasks using electroencephalogram and eye gaze data and machine learningSomayeh B Shafiei, Saeed Shadpour, Xavier Intes, et al.
Npj Aging|October 6, 2023
Developing cognitive workload and performance evaluation models using functional brain network analysisSaeed Shadpour, Ambreen Shafqat, Serkan Toy, et al.
Journal of Robotic Surgery|October 20, 2023
Surgical skill level classification model development using EEG and eye-gaze data and machine learning algorithmsSomayeh B Shafiei, Saeed Shadpour, James L Mohler, et al.
Scientific Reports|June 25, 2024
Prediction of Robotic Anastomosis Competency Evaluation (RACE) metrics during vesico-urethral anastomosis using electroencephalography, eye-tracking, and machine learningSomayeh B Shafiei, Saeed Shadpour, James L Mohler, et al.
Pageof 1