Zobrazeno 1 - 10 of 25 pro vyhledávání: '"Hamidreza Ghasemi Damavandi"'
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Akademický článek
Machine learning classifies predictive kinematic features in a mouse model of neurodegeneration
Autor: Ruyi Huang, Ali A. Nikooyan, Bo Xu, M. Selvan Joseph, Hamidreza Ghasemi Damavandi, Nathan von Trotha, Lilian Li, Ashok Bhattarai, Deeba Zadeh, Yeji Seo, Xingquan Liu, Patrick A. Truong, Edward H. Koo, J. C. Leiter, Daniel C. Lu
Publikováno v: Scientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
Abstract Motor deficits are observed in Alzheimer’s disease (AD) prior to the appearance of cognitive symptoms. To investigate the role of amyloid proteins in gait disturbances, we characterized locomotion in APP-overexpressing transgenic J20 mice.
Externí odkaz: https://doaj.org/article/d361dba0120d4531af8263892c02a303
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2
Akademický článek
Design principles for engineering wetlands to improve resilience of coupled built and natural water infrastructure
Autor: Reepal Shah, Yushiou Tsai, Dimitrios Stampoulis, Hamidreza Ghasemi Damavandi, John Sabo
Publikováno v: Environmental Research Letters, Vol 18, Iss 11, p 114045 (2023)
Intensifying climate extremes and the ageing of built infrastructure have prompted the idea of replacing the ageing built infrastructure with natural infrastructure. In this paper, we discuss how a distributed portfolio of smaller wetlands performs c
Externí odkaz: https://doaj.org/article/425b08c640304fb99aacb60f91fb3d02
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3
A Bayesian Neural Network for an Accurate Representation and Transformation of Runoff Dynamics: A Case Study of the Brazos River Basin in Texas
Autor: Hamidreza Ghasemi Damavandi, Dimitrios Stampoulis, John Sabo, Reepal Shah, Li Huang, Yuhang Wei, Yushiou Tsai, Jaishri Srinivasan, Tushar Sinha, Dragan Boscovic, Glen Low
Publikováno v: Journal of Environmental Science and Engineering Technology. 8:41-51
Conventional physically based models have long yielded promising results, as they have been the main tool to depict the underpinnings of the physics governing the hydrological events. These models, however, suffer from certain issues such as the inte
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6bbdf6edae84a29ddc4d81276a1f8a7e
https://doi.org/10.12974/2311-8741.2020.08.5
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6
Machine learning classifies predictive kinematic features in a mouse model of neurodegeneration
Autor: Patrick A. Truong, Xingquan Liu, A.A. Nikooyan, Daniel C. Lu, M. Selvan Joseph, Edward H. Koo, James C. Leiter, Nathan von Trotha, Bo Xu, Deeba Zadeh, Hamidreza Ghasemi Damavandi, Ashok Bhattarai, Yeji Seo, Ruyi Huang, Lilian Li
Publikováno v: Scientific reports, vol 11, iss 1
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
Motor deficits are observed in Alzheimer’s disease (AD) prior to the appearance of cognitive symptoms. To investigate the role of amyloid proteins in gait disturbances, we characterized locomotion in APP-overexpressing transgenic J20 mice. We used
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10270a34fe53b56ba17e983d5bbe5dfd
https://escholarship.org/uc/item/5075z7nm
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7
Using Satellite Remote Sensing and Machine Learning Techniques Towards Precipitation Prediction and Vegetation Classification
Autor: D. Stampoulis, John L. Sabo, Hamidreza Ghasemi Damavandi, D. Boscovic
Publikováno v: Journal of Environmental Informatics.
The spatial distribution, magnitude and timing of precipitation events are being altered globally, often leading to extreme hydrologic conditions with serious implications to ecosystem services, water, food and energy security, as well as the welfare
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::25be13434cdf9e8d8a3c9bb72261ff37
https://doi.org/10.3808/jei.202000427
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10
An Active Learning Based Prediction of Epidural Stimulation Outcome in Spinal Cord Injury Patients Using Dynamic Sample Weighting
Autor: Daniel C. Lu, Tali Homsey, Anahita Hosseini, Hamidreza Ghasemi Damavandi, Mohammad Kachuee, Majid Sarrafzadeh, James C. Leiter, Lisa D Moore, Babak Moatamed, Ruyi Huang
Publikováno v: ICHI
Recent studies suggest that epidural stimulation of the spinal cord could increase the motor pattern both in motor and sensory complete spinal cord injury (SCI) patients. However, choosing the optimal epidural stimulation variables, such as the frequ
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a63fc331ad0b2bd81ad865f03028a4ef
https://doi.org/10.1109/ichi.2017.38
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