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- 30Wakaruk, Amanda
- 24McNally, Michael B.
- 21Mukherjee, Ayantika
- 18Campbell, Sandy
- 18Susan Chaudoir
- 154University of Alberta Library
- 124Toolkit for Grant Success
- 94Toolkit for Grant Success/Educational Materials (Toolkit for Grant Success)
- 71Computing Science, Department of
- 71Computing Science, Department of/Conference Papers (Computing Science)
- 61University of Alberta Library/Libraries Staff Presentations
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Honouring the Truth, Reparative Cataloguing for the Future
2022-01-01
Palanuk, Nicole, Ramgoolam, Gisele, Stearns, Brian
NEOS Miniconference 2022 Presentation Slides.
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2022-11-04
Amir Zakerimanesh, Ali Torabi, Farzad Hashemzadeh, Mahdi Tavakoli
This note presents a novel approach for task-space tracking control of redundant manipulators with bounded actuation. Inspired by the leader-follower containment problem in multi-agent systems, the proposed controller is utilized to address the containment control of a single follower manipulator...
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2022-01-01
Nguyen, Phuong, Fayek, Aminah Robinson, Hamzeh, Farook
Measurement of construction labor productivity involves various subjective factors (e.g., motivation, stress, and fatigue). Most measurement approaches for subjective factors in productivity applications require manual data collection (e.g., questionnaires, interviews, and observations);...
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2022-01-01
Gebretekle, Yisshak T., Fayek, Aminah Robinson
Construction competencies are combinations of skills, knowledge, technologies, other resources, and practices of a construction organization that contribute to increased effectiveness, competitiveness, profitability, and performance. Previous studies have developed mechanisms to identify and...
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2022-01-01
Kedir, Nebiyu S., Raoufi, Mohammad, Fayek, Aminah Robinson
Previous studies have identified motivation as one of the most important factors affecting the efficiency of labor utilization in construction processes. However, there is a lack of research on simulating the impact of motivation on labor productivity to track and devise productivity improvement...
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Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale
Download2022
Sun, W., Kalmady, S.V., Wang, Z., Salimi, A., Sepehrvand, N., Hindle, Abram, Chu, L.M., Greiner, R., Kaul, P.
Pandemic outbreaks such as COVID-19 occur unexpectedly, and need immediate action due to their potential devastating consequences on global health. Point-ofcare routine assessments such as electrocardiogram (ECG), can be used to develop prediction models for identifying individuals at risk....
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Machine-learned Adaptive Switching in Voluntary Lower-limb Exoskeleton Control: Preliminary Results
Download2022-01-01
Lower-limb exoskeletons utilize fixed control strategies and are not adaptable to user’s intention. To this end, the goal of this study was to investigate the potential of using temporal-difference learning and general value functions for predicting the next possible walking mode that will be...
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EMG-based Hybrid Impedance-Force Control for Human-Robot Collaboration on Ultrasound Imaging
Download2022-11-03
Teng Li, Hongjun Xing, Hamid D. Taghirad, Mahdi Tavakoli
ABSTRACT: Ultrasound (US) imaging is a common but physically demanding task in the medical field, and sonographers may need to put in considerable physical effort for producing high-quality US images. During physical human-robot interaction on US imaging, robot compliance is a critical feature...
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Integrating Impedance Control and Nonlinear Disturbance Observer for Robot-Assisted Arthroscope Control in Elbow Arthroscopic Surgery
Download2022-11-03
Teng Li, Armin Badre, Hamid D. Taghirad, Mahdi Tavakoli
ABSTRACT: Robot-assisted arthroscopic surgery is transforming the tradition in orthopaedic surgery. Compliance and stability are essential features that a surgical robot must have for safe physical human-robot interaction (pHRI). Surgical tools attached at the robot end-effector and human-robot...