Zobrazeno 1 - 10
of 56
pro vyhledávání: '"K K Sarma"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-5-2024, Pp 147-153 (2024)
Geospatial technology, including remote sensing, Geographic Information Systems (GIS), and Global Navigation Satellite Systems (GNSS), is identified as a key component in disaster management. It enables hazard, risk, and vulnerability mapping, aiding
Externí odkaz:
https://doaj.org/article/2f9b7caf56c44601b5360229bcb9d6a4
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-5-2024, Pp 17-22 (2024)
Agriculture faces unprecedented challenges due to the increasing frequency and severity of natural disasters and extreme weather events. Agriculture sector needs resilience to support food production and livelihoods because it is susceptible to cyclo
Externí odkaz:
https://doaj.org/article/017e0e7d416b4d73b71c7b26f93a1e5d
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-2024, Pp 149-154 (2024)
Japanese Encephalitis (JE) is one of the serious mosquito borne viral diseases mostly prevalent in India and many of the South Asian countries. A comprehensive study was conducted in Dibrugarh, a JE endemic district of Assam taking into the account o
Externí odkaz:
https://doaj.org/article/4f043cd1894e4af2a3fecf2700cb385d
Publikováno v:
Veterinary World, Vol 12, Iss 11, Pp 1790-1796 (2019)
Background and Aim: Elephant endotheliotropic herpesvirus (EEHV) is an emerging disease of elephant. Therefore, a study was conducted to know the actual status of the disease in Assam State of India. Materials and Methods: A total of 289 Asian ele
Externí odkaz:
https://doaj.org/article/71c7494d8b184505b803c580743ed1c0
Autor:
P. L. N. Raju, K. K. Sarma, D. Barman, B. K. Handique, D. Chutia, S. S. Kundu, R. Kr. Das, K. Chakraborty, R. Das, J. Goswami, P. Das, H. S. Devi, J. M. Nongkynrih, K. Bhusan, M. S. Singh, P. S. Singh, V. Saikhom, C. Goswami, R. Pebam, A. Borgohain, R. B. Gogoi, N. R. Singh, A. Bharali, D. Sarma, R. B. Lyngdoh, P. P. Mandal, M. Chabukdhara
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B4, Pp 767-775 (2016)
North Eastern Region (NER) of India comprising of eight states considered to be most unique and one of the most challenging regions to govern due to its unique physiographic condition, rich biodiversity, disaster prone and diverse socio-economic char
Externí odkaz:
https://doaj.org/article/87a7657edca64e06ac4c86ecec75af42
Publikováno v:
Vegetos.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c781bb50f5ba751b5cd86eedc2fcdcea
https://doi.org/10.1007/s42535-022-00407-1
https://doi.org/10.1007/s42535-022-00407-1
Publikováno v:
The Pharma Innovation. 9:334-337
The study was carried out to evaluate propofol and ketamine CRI in dexmedetomidine and butorphanol pre-medicated dogs undergoing elective ovariohysterectomy. Animals were randomly divided into two Groups (A and B) comprising six animals in each. All
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10e10b7b3a0fc0b4a7fde89d73b94557
https://doi.org/10.22271/tpi.2020.v9.i3g.4493
https://doi.org/10.22271/tpi.2020.v9.i3g.4493
Autor:
P. L. N. Raju, K. K. Sarma, Dibyajyoti Chutia, Dhruba K. Bhattacharyya, Naiwrita Borah, Diganta Baruah
Publikováno v:
Applied Geomatics. 12:95-105
Random forest (RF) is one of the most powerful ensemble classifiers often used in machine learning applications. It has been found successful on many benchmarked data. However, the performance of an RF model is highly affected by the calibration of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5725ad8ec0eba8cbdc94c2d8f12cba4a
https://doi.org/10.1007/s12518-019-00281-8
https://doi.org/10.1007/s12518-019-00281-8
Publikováno v:
VIETNAM JOURNAL OF EARTH SCIENCES. 41:95-104
L-band Synthetic aperture radar (SAR) data has been extensively used for forest aboveground biomass (AGB) estimation due to its higher saturation level. However, SAR backscatter is highly influenced by the topography characteristics along with the bi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5611f338ff29579cd7f86d6c995b095f
https://doi.org/10.15625/0866-7187/41/2/13690
https://doi.org/10.15625/0866-7187/41/2/13690
The forest resource of North East Region (NER) of India is a store house of several unique, endangered, endemic, medicinal plant, bamboo, etc. species in diverse forest type and high forest density. Several authors and organizations have contributed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab1229adb4a8f336b8bc4e748514c727
https://doi.org/10.4018/978-1-7998-5027-4.ch011
https://doi.org/10.4018/978-1-7998-5027-4.ch011
