Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Chitrini Mozumder"'
Autor:
Htet Yamin Ko Ko, Nitin Kumar Tripathi, Chitrini Mozumder, Sombat Muengtaweepongsa, Indrajit Pal
Publikováno v:
International Journal of Telemedicine and Applications, Vol 2023 (2023)
Telemedicine and remote patient monitoring (RPM) systems have been gaining interest and received adaptation in healthcare sectors since the COVID-19 pandemic due to their efficiency and capability to deliver timely healthcare services while containin
Externí odkaz:
https://doaj.org/article/c84e6048bab44e84b14edc296bd1a6d0
Autor:
Thomas Bauer, Markus Immitzer, Reinfried Mansberger, Francesco Vuolo, Béla Márkus, Małgorzata Verőné Wojtaszek, Lóránt Földváry, Aneta Szablowska-Midor, Jacek Kozak, Ivan Oliveira, Arno van Lieshout, Zoltán Vekerdy, Sarawut Ninsawat, Chitrini Mozumder
Publikováno v:
Remote Sensing, Vol 13, Iss 9, p 1718 (2021)
E-learning is widely used in academic education, and currently, the COVID-19 pandemic is increasing the demand for e-learning resources. This report describes the results achieved and the experiences gained in the Erasmus+ CBHE (Capacity Building in
Externí odkaz:
https://doaj.org/article/a48df71aec384f29aab82e093b24e77b
Publikováno v:
Journal of the Indian Society of Remote Sensing. 49:2639-2654
The utilization of remote sensing and GIS is increasing in importance across the world for disaster preparedness, assessments, mitigation, and governance. A major focus is on extracting and disseminating useful information from satellite and airborne
Autor:
Chitrini Mozumder, N. S. Karthikeya
Publikováno v:
Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management ISBN: 9783031140952
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52669ce95e57b8003f087b3f9718081a
https://doi.org/10.1007/978-3-031-14096-9_4
https://doi.org/10.1007/978-3-031-14096-9_4
Publikováno v:
Nanotechnologies in Russia. 14:582-587
The present study was conducted to investigate the effect of silver nanoparticles (AgNPs) in the regulation of Germination and Seedling Parameters of Bitter Vetch (Vicia ervilia L.) Plants under Salinity stress (NaCl). Experimental salinity was contr
Autor:
J. Kozak, Béla Márkus, L. Földváry, Thomas Bauer, Zoltán Vekerdy, M. Verőné Wojtaszek, I. Oliveira, A. Szablowska-Midor, Chitrini Mozumder, Francesco Vuolo, Reinfried Mansberger, A. Lieshout, Markus Immitzer, Sarawut Ninsawat
Publikováno v:
Remote sensing, 13(9):1718, 1-15. MDPI
Remote Sensing, Vol 13, Iss 1718, p 1718 (2021)
Remote Sensing, Vol 13, Iss 1718, p 1718 (2021)
E-learning is widely used in academic education, and currently, the COVID-19 pandemic is increasing the demand for e-learning resources. This report describes the results achieved and the experiences gained in the Erasmus+ CBHE (Capacity Building in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0784fdec8b213d40eea5e85f990d7efc
https://ruj.uj.edu.pl/xmlui/handle/item/271073
https://ruj.uj.edu.pl/xmlui/handle/item/271073
Publikováno v:
Computers, Environment and Urban Systems. 59:38-49
Change allocation is an important step in the Land Use Land Cover (LULC) change modelling. Many established LULC models use transition potential maps for the allocation of the estimated land demand. This study compares three commonly used techniques
Autor:
Nitin K. Tripathi, Saad Saleem Bhatti, Vilas Nitivattananon, Chitrini Mozumder, Irfan Ahmad Rana
Publikováno v:
Habitat International
Metropolitan regions worldwide are experiencing rapid urban growth and the planners often employ prediction models to forecast the future expansion for improving the land management policies and practices. These regions are a mix of urban, peri-urban
Human detection from Unmanned Aerial Vehicles (UAV) is gaining popularity in the field of disaster management, crowd counting, people monitoring. Real time human detection from UAV is a challenging task, because of many constraints involved. This stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::340c2d34fad5bebcc5839ed63faecf80
Autor:
Chitrini Mozumder, Nitin K. Tripathi
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 32:92-104
a b s t r a c t In recent decades, the world has experienced unprecedented urban growth which endangers the green environment in and around urban areas. In this work, an artificial neural network (ANN) based model is developed to predict future impac