Zobrazeno 1 - 10
of 189
pro vyhledávání: '"R C, Joshi"'
Autor:
A. Emmer, S. K. Allen, M. Carey, H. Frey, C. Huggel, O. Korup, M. Mergili, A. Sattar, G. Veh, T. Y. Chen, S. J. Cook, M. Correas-Gonzalez, S. Das, A. Diaz Moreno, F. Drenkhan, M. Fischer, W. W. Immerzeel, E. Izagirre, R. C. Joshi, I. Kougkoulos, R. Kuyakanon Knapp, D. Li, U. Majeed, S. Matti, H. Moulton, F. Nick, V. Piroton, I. Rashid, M. Reza, A. Ribeiro de Figueiredo, C. Riveros, F. Shrestha, M. Shrestha, J. Steiner, N. Walker-Crawford, J. L. Wood, J. C. Yde
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 22, Pp 3041-3061 (2022)
Glacial lake outburst floods (GLOFs) are among the most concerning consequences of retreating glaciers in mountain ranges worldwide. GLOFs have attracted significant attention amongst scientists and practitioners in the past 2 decades, with particula
Externí odkaz:
https://doaj.org/article/90409cad2f094de28e2f1aa261b8d284
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 6, Iss 6, Pp 156-163 (2021)
This article offers a thorough analysis of the machine learning classifiers approaches for the collected Received Signal Strength Indicator (RSSI) samples which can be applied in predicting propagation loss, used for network planning to achieve maxim
Externí odkaz:
https://doaj.org/article/ca7644ee2b4842b7afbfa88d45c7edb9
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 10, Iss 1, Pp 1-14 (2021)
Abstract Cloud providers shares their resources and services through collaboration in order to increase resource utilization, profit and quality of services. The offered services with different access patterns, similar characteristics, varied perform
Externí odkaz:
https://doaj.org/article/07622a2fe4ae4b58931b297b001e66e1
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W8, Pp 267-274 (2019)
Although vulnerability is a relatively simple concept reflecting the degree of harm or adverse impacts on an individual, group or a system due to hazards, its implementation is rather complex due to underlying social, economic and physical dimensions
Externí odkaz:
https://doaj.org/article/242dd7b1ab904a8182f4dcca4978c8cd
Publikováno v:
Geography, Environment, Sustainability, Vol 11, Iss 4, Pp 56-66 (2019)
In the Himalaya diversity of plant species is very rich in length and breadth of its spatial extent. Study area forms a part of the Central Himalaya where altitude is varying in between 1940m to 2615m. Changing slope aspect and altitude (microclimate
Externí odkaz:
https://doaj.org/article/a2b39b738a31405c807655d3da3fad0e
Publikováno v:
International Journal of Modelling and Simulation. 41:359-375
Publikováno v:
International Journal of System Assurance Engineering and Management. 13:866-879
Path loss prediction is an essential technique in wireless radio network designing and development, it supports in perceiving the nature of electromagnetic radio signals in a particularized transmission medium. Varieties of empirical path loss predic
Publikováno v:
Asian Journal of Pharmaceutical and Clinical Research. :162-165
Objective: A normal-phase high-performance thin-layer chromatography (HPTLC) method has been developed and validated for estimation and quantitation of beta-sitosterol from the methanolic fraction of different plant parts of two medicinally important
Publikováno v:
International Journal of Research in Pharmaceutical Sciences. 11:4660-4664
Medicinal plants produce various useful metabolites such as alkaloids, flavonoids, tannins etc those are widely used for the preparation of various pharmaceutical products, or as food additives. A simple and precise reverse phase high performance liq
Autor:
R. C. Joshi, Masoom Reza
Publikováno v:
Remote Sensing and Geographic Information Systems for Policy Decision Support ISBN: 9789811677304
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ca872cdf6e8c16a54f98bb05d140c7d
https://doi.org/10.1007/978-981-16-7731-1_22
https://doi.org/10.1007/978-981-16-7731-1_22