Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Priyanka Madhushri"'
Publikováno v:
Information, Vol 7, Iss 3, p 47 (2016)
The assessment of mobility and functional impairments in the elderly is important for early detection and prevention of fall conditions. Falls create serious threats to health by causing disabling fractures that reduce independence in the elderly. Mo
Externí odkaz:
https://doaj.org/article/f435f77595084a51a279c4c59605a92a
Publikováno v:
Journal of Composite Materials. 54:3099-3108
In this paper, the artificial neural network technique using a multi-layer perceptron feed forward scheme was used to model and predict the mode-I fracture behaviour of particulate polymer composites when subjected to impact loading. A neural network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5310b03e97c3db75776e0decc011f3e
https://doi.org/10.1177/0021998320911418
https://doi.org/10.1177/0021998320911418
Publikováno v:
Handbook of Epoxy/Fiber Composites ISBN: 9789811581410
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98ac4f62459886534ee6bab8721e5e89
https://doi.org/10.1007/978-981-19-3603-6_6
https://doi.org/10.1007/978-981-19-3603-6_6
Autor:
Ankit Garg, Vinod Kushvaha, Insha Wani, Hong-Hu Zhu, Nevin Koshy, Priyanka Madhushri, Viroon Kamchoom, He Huang
Publikováno v:
Acta Geophysica. 68:207-217
Soil compaction has contrasting effect on soil strength (i.e., positive) and vegetation growth (i.e., negative), respectively. Biochar has been utilized mostly in combination with soils in both agricultural fields (i.e., loose soils) and geo-structur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcf2bae4769953736dbeed11e876c839
https://doi.org/10.1007/s11600-019-00387-y
https://doi.org/10.1007/s11600-019-00387-y
This book presents recent advancements of machine learning methods and their applications in material science and nanotechnologies. It provides an introduction to the field and for those who wish to explore machine learning in modeling as well as con
Publikováno v:
Journal of Hazardous, Toxic, and Radioactive Waste. 24
The objective of this study was to predict biochar properties [surface area and oxygen-to-carbon (O/C) and hydrogen-to-carbon (H/C) ratios] from pyrolysis conditions, volatile matter conte...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75c5dad1a7ecec0312257729e3629da5
https://doi.org/10.1061/(asce)hz.2153-5515.0000545
https://doi.org/10.1061/(asce)hz.2153-5515.0000545
Publikováno v:
2020 International Conference on Computational Performance Evaluation (ComPE).
The mechanical behavior of particle reinforced polymer composites depends largely on the properties of the particles used to reinforce it. Geometrical properties such as shape and size (aspect ratio) have a vital part in deciding the behavior of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1c74619682ab4683be192412abdc88f
https://doi.org/10.1109/compe49325.2020.9200093
https://doi.org/10.1109/compe49325.2020.9200093
Autor:
Priyanka Madhushri, Emil Jovanov
This article presents synchronization of a hybrid distributed sensor network with wired and wireless sensors. Authors present an implementation of a sleep monitoring system as a hybrid sensor network that combines wireless inertial sensors controlled
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7219fea007f9dda6f3bbcc7dc0799bba
https://doi.org/10.4018/978-1-7998-2454-1.ch056
https://doi.org/10.4018/978-1-7998-2454-1.ch056
Autor:
Emil Jovanov, Priyanka Madhushri
Publikováno v:
International Journal of Embedded and Real-Time Communication Systems. 9:32-46
This article presents synchronization of a hybrid distributed sensor network with wired and wireless sensors. Authors present an implementation of a sleep monitoring system as a hybrid sensor network that combines wireless inertial sensors controlled
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::416d832c1cfff834315377cf2229a8a6
https://doi.org/10.4018/ijertcs.2018070103
https://doi.org/10.4018/ijertcs.2018070103
This book introduces the approach of Machine Learning (ML) based predictive models in the design of composite materials to achieve the required properties for certain applications. ML can learn from existing experimental data obtained from very limit