Zobrazeno 1 - 10
of 361
pro vyhledávání: '"John McPhee"'
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 19, Iss 1, Pp 1-12 (2024)
Abstract Purpose: An efficient physics-informed deep learning approach for extracting spinopelvic measures from X-ray images is introduced and its performance is evaluated against manual annotations. Methods: Two datasets, comprising a total of 1470
Externí odkaz:
https://doaj.org/article/7c8bb04c3db34313b3e04a3fc4b31100
Publikováno v:
Sensors, Vol 24, Iss 1, p 63 (2023)
Recently, robotic exoskeletons are gaining attention for assisting industrial workers. The exoskeleton power source ranges from fully passive (FP) to fully active (FA), or a mixture of both. The objective of this experimental study was to assess the
Externí odkaz:
https://doaj.org/article/cf2cedd535694741a42ec0fa0a296ce3
Publikováno v:
Wearable Technologies, Vol 4 (2023)
Evaluating exoskeleton actuation methods and designing an effective controller for these exoskeletons are both challenging and time-consuming tasks. This is largely due to the complicated human–robot interactions, the selection of sensors and actua
Externí odkaz:
https://doaj.org/article/975bb587331748c09dd9a0cbd64023b7
Publikováno v:
IEEE Access, Vol 9, Pp 139403-139414 (2021)
Neural architecture search has proven to be highly effective in the design of efficient convolutional neural networks that are better suited for mobile deployment than hand-designed networks. Hypothesizing that neural architecture search holds great
Externí odkaz:
https://doaj.org/article/0e2a76edec5e4497b8a8ae2b4ec6a057
Publikováno v:
JPhys Energy, Vol 5, Iss 1, p 015003 (2023)
The performance of a proton exchange membrane (PEM) fuel cell is determined by many factors, including operating conditions, component specifications, and system design, making it challenging to predict its performance over a wide range of operating
Externí odkaz:
https://doaj.org/article/686e4a96f71b4a9997b56c161af4da17
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2022)
Robotic leg prostheses and exoskeletons can provide powered locomotor assistance to older adults and/or persons with physical disabilities. However, the current locomotion mode recognition systems being developed for automated high-level control and
Externí odkaz:
https://doaj.org/article/bab2664c34914facaaa08cebc7d6cef1
Publikováno v:
Energy and AI, Vol 6, Iss , Pp 100114- (2021)
The real-time model-based control of polymer electrolyte membrane (PEM) fuel cells requires a computationally efficient and sufficiently accurate model to predict the transient and long-term performance under various operational conditions, involving
Externí odkaz:
https://doaj.org/article/3f5727ff494140359526db9d7ad4725c
Publikováno v:
Frontiers in Computational Neuroscience, Vol 15 (2021)
InverseMuscleNET, a machine learning model, is proposed as an alternative to static optimization for resolving the redundancy issue in inverse muscle models. A recurrent neural network (RNN) was optimally configured, trained, and tested to estimate t
Externí odkaz:
https://doaj.org/article/2d391d2c681341b0a54dd1b4596591a4
Autor:
John McPhee, Jochen Eberhard, Alice Melland, Jasim Uddin, Lucinda Dunn, Sarith Hin, Vanndy Lim, Veasna Touch, Phimmasone Sisouvanh, Inthong Somphou, Tounglien Vilayphone, Phaythoune Mounsena, Stephen Ives
Publikováno v:
Water, Vol 14, Iss 13, p 2010 (2022)
Hand-held hoses and watering cans are widely used by smallholder farmers to irrigate vegetables in Cambodia and Laos. Overwatering is common. Technology change (e.g., low-pressure drip irrigation) has been used to improve irrigation efficiency but ca
Externí odkaz:
https://doaj.org/article/143a1e869de141d19f086125cdb1b5e2
Publikováno v:
Frontiers in Robotics and AI, Vol 7 (2020)
Externí odkaz:
https://doaj.org/article/82f4b9d62da341a3b85c3dc80396949e