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Evaluating the impact of mental fatigue on construction equipment operators' ability to detect hazards using wearable eye-tracking technology

Automation in construction, 2019-09, Vol.105, p.102835, Article 102835

2019

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Performance Evaluation of Plastic Concrete Modified with E-Waste Plastic as a Partial Replacement of Coarse Aggregate

Materials, 2021-12, Vol.15 (1), p.175

2021

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Identification of Biomechanical Risk Factors for the Development of Lower-Back Disorders during Manual Rebar Tying

Journal of construction engineering and management, 2017-01, Vol.143 (1)

2017

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C-Reactive Protein as A Useful Predictor of Difficult Laparoscopic Cholecystectomy

Pakistan Armed Forces medical journal, 2024-08, Vol.74 (4), p.1042-1045

2024

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Intraoperative Gallbladder Scoring Predicts Difficulty of Surgery and Conversion of Laparoscopic to Open Cholecystectomy

Pakistan Armed Forces medical journal, 2024-06, Vol.74 (3), p.839

2024

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Machine learning-based identification and classification of physical fatigue levels: A novel method based on a wearable insole device

International journal of industrial ergonomics, 2023-01, Vol.93, p.103404, Article 103404

2023

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Simultaneous monitoring of physical and mental stress for construction tasks using physiological measures

Journal of Building Engineering, 2022-04, Vol.46, p.103777, Article 103777

Umer, Waleed

2022

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Multimodal integration for data-driven classification of mental fatigue during construction equipment operations: Incorporating electroencephalography, electrodermal activity, and video signals

Developments in the built environment, 2023-10, Vol.15, p.100198, Article 100198

2023

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Exploring the Injury Severity Risk Factors in Fatal Crashes with Neural Network

International journal of environmental research and public health, 2020-10, Vol.17 (20), p.7466

2020

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Identification and classification of construction equipment operators' mental fatigue using wearable eye-tracking technology

Automation in construction, 2020-01, Vol.109, p.103000, Article 103000

2020

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Posture-related data collection methods for construction workers: A review

Automation in construction, 2021-04, Vol.124, p.103538, Article 103538

2021

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Construction Activity Recognition and Ergonomic Risk Assessment Using a Wearable Insole Pressure System

Journal of construction engineering and management, 2020-07, Vol.146 (7)

2020

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Deep learning-based networks for automated recognition and classification of awkward working postures in construction using wearable insole sensor data

Automation in construction, 2022-04, Vol.136, p.104181, Article 104181

2022

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Validity of facial features’ geometric measurements for real-time assessment of mental fatigue in construction equipment operators

Advanced engineering informatics, 2022-10, Vol.54, p.101777, Article 101777

2022

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Evaluation of Physiological Metrics as Real-Time Measurement of Physical Fatigue in Construction Workers: State-of-the-Art Review

Journal of construction engineering and management, 2021-05, Vol.147 (5)

2021

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Critical success factors for implementing blockchain technology in construction

Automation in construction, 2023-12, Vol.156, p.105135, Article 105135

2023

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Quantifying the Effect of Mental Stress on Physical Stress for Construction Tasks

Journal of construction engineering and management, 2022-03, Vol.148 (3)

2022

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Online Assessment of Spontaneous Mental Fatigue in Construction Workers Considering Data Quality: Improved Online Sequential Extreme Learning Machine

Journal of construction engineering and management, 2024-11, Vol.150 (11)

2024

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Towards automated physical fatigue monitoring and prediction among construction workers using physiological signals: An on-site study

Safety science, 2023-10, Vol.166, p.106242, Article 106242

2023

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Real-Time Monitoring of Mental Fatigue of Construction Workers Using Enhanced Sequential Learning and Timeliness

Automation in construction, 2024-03, Vol.159, p.105267, Article 105267

2024

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Physical exertion modeling for construction tasks using combined cardiorespiratory and thermoregulatory measures

Automation in construction, 2020-04, Vol.112, p.103079, Article 103079

2020

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Use of Ultra Wide Band Real-Time Location System on Construction Jobsites: Feasibility Study and Deployment Alternatives

International journal of environmental research and public health, 2020-03, Vol.17 (7), p.2219

2020

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Monitoring Mental Fatigue of Construction Equipment Operators: A Smart Cushion–Based Method with Deep Learning Algorithms

Journal of management in engineering, 2024-09, Vol.40 (5)

2024

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Deep learning-based construction equipment operators’ mental fatigue classification using wearable EEG sensor data

Advanced engineering informatics, 2023-04, Vol.56, p.101978, Article 101978

2023

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The prevalence of musculoskeletal symptoms in the construction industry: a systematic review and meta-analysis

International archives of occupational and environmental health, 2018-02, Vol.91 (2), p.125-144

2018

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Evaluating the impact of mental fatigue on construction equipment operators' ability to detect hazards using wearable eye-tracking technology

Performance Evaluation of Plastic Concrete Modified with E-Waste Plastic as a Partial Replacement of Coarse Aggregate

Identification of Biomechanical Risk Factors for the Development of Lower-Back Disorders during Manual Rebar Tying

C-Reactive Protein as A Useful Predictor of Difficult Laparoscopic Cholecystectomy

Intraoperative Gallbladder Scoring Predicts Difficulty of Surgery and Conversion of Laparoscopic to Open Cholecystectomy

Machine learning-based identification and classification of physical fatigue levels: A novel method based on a wearable insole device

Simultaneous monitoring of physical and mental stress for construction tasks using physiological measures

Multimodal integration for data-driven classification of mental fatigue during construction equipment operations: Incorporating electroencephalography, electrodermal activity, and video signals

Exploring the Injury Severity Risk Factors in Fatal Crashes with Neural Network

Identification and classification of construction equipment operators' mental fatigue using wearable eye-tracking technology

Posture-related data collection methods for construction workers: A review

Construction Activity Recognition and Ergonomic Risk Assessment Using a Wearable Insole Pressure System

Deep learning-based networks for automated recognition and classification of awkward working postures in construction using wearable insole sensor data

Validity of facial features’ geometric measurements for real-time assessment of mental fatigue in construction equipment operators

Evaluation of Physiological Metrics as Real-Time Measurement of Physical Fatigue in Construction Workers: State-of-the-Art Review

Critical success factors for implementing blockchain technology in construction

Quantifying the Effect of Mental Stress on Physical Stress for Construction Tasks

Online Assessment of Spontaneous Mental Fatigue in Construction Workers Considering Data Quality: Improved Online Sequential Extreme Learning Machine

Towards automated physical fatigue monitoring and prediction among construction workers using physiological signals: An on-site study

Real-Time Monitoring of Mental Fatigue of Construction Workers Using Enhanced Sequential Learning and Timeliness

Physical exertion modeling for construction tasks using combined cardiorespiratory and thermoregulatory measures

Use of Ultra Wide Band Real-Time Location System on Construction Jobsites: Feasibility Study and Deployment Alternatives

Monitoring Mental Fatigue of Construction Equipment Operators: A Smart Cushion–Based Method with Deep Learning Algorithms

Deep learning-based construction equipment operators’ mental fatigue classification using wearable EEG sensor data

The prevalence of musculoskeletal symptoms in the construction industry: a systematic review and meta-analysis

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