Zobrazeno 1 - 10
of 17
pro vyhledávání: '"M. Rameshan"'
Autor:
M. Rameshan, Mahesh Mohan, K. Sreedharan, V. P. Sylas, Joby Paul, V. Arunbabu, A. P. Thomas, V. Shanthiprabha, N.P. Sreekanth, Babu Padmakumar, K. K. Jayasooryan, Toms Augustine, E. V. Ramasamy
Publikováno v:
Tropical Ecology. 62:508-524
The present study aimed to assess the role of homegarden (HG) in safeguarding the tree diversity and carbon (C) density or storage in the Thodupuza urban region of Idukki district in Kerala, India. A stratified random approach was used for selecting
Autor:
Jyoti Nigam, Renu M. Rameshan
Publikováno v:
IETE Journal of Research. 68:2812-2825
We address the problem of pedestrian tracking in videos of crowded scene which are captured by first-person viewpoint. The constant motion of camera and pedestrian makes this task challenging. The ...
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Publikováno v:
International Journal of Advanced Research. 7:669-673
Measuring the vulnerability of coastal ecosystems in a densely populated west coast landscape, India
The species composition and geospatial distribution of coastal ecosystems such as mangroves, mudflats, filtration ponds, backwaters, and so on and their associates in the southwest coast of India are studied through field mapping using high-precision
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ff5f2ee5b68806e4d884376a422eccb
https://doi.org/10.1016/b978-0-12-819604-5.00013-5
https://doi.org/10.1016/b978-0-12-819604-5.00013-5
Publikováno v:
Restoration Ecology. 29
The riparian ecosystems of the Western Ghats are highly diversified tropical forest ecosystems. The synergic effect of various threats may adversely affect and reduce the capacity of these riparian ecosystems to resilience, even though they have spec
Autor:
Anusha Aswath, Renu M. Rameshan
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030661243
ICPRAM (Revised Selected Papers)
ICPRAM (Revised Selected Papers)
In this paper, we aim to perform multi-object tracking and segmentation (MOTS) of moving objects in traffic video datasets. A novel method for tracking multiple objects is proposed, which uses masked images as input for training ADNet [39], and we na
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f6b99580008349c8718346542564328
https://doi.org/10.1007/978-3-030-66125-0_2
https://doi.org/10.1007/978-3-030-66125-0_2
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030661243
ICPRAM (Revised Selected Papers)
ICPRAM (Revised Selected Papers)
Self-driving cars and Advanced Driver Assistance Systems rely heavily on Traffic Sign Recognition for safe maneuvering on the roads. But traffic signs can vary from one country to another, thereby necessitating multiple classifiers or a single univer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea40a793b17b655d2d64e45db73315be
https://doi.org/10.1007/978-3-030-66125-0_1
https://doi.org/10.1007/978-3-030-66125-0_1
Autor:
V. Shanthiprabha, N.P. Sreekanth, A. P. Thomas, Joby Paul, Mahesh Mohan, M. Rameshan, Babu Padmakumar, Toms Augustine, K. Sreedharan, E. V. Ramasamy, K. K. Jayasooryan
Publikováno v:
iForest-Biogeosciences and Forestry, Vol 11, Iss 1, Pp 534-541 (2018)
United Nations Framework Convention on Climate Change highlights the significance of carbon storage and emission in forests towards climate change mitigation. The aim of this study was to quantify the tree biomass and carbon density (carbon storage)
Publikováno v:
Climate Change and Environmental Sustainability. 7:143