Zobrazeno 1 - 10
of 594
pro vyhledávání: '"Subeesh, A."'
Autor:
R Prabhu, Ram naresh, Das, Amrutha, Nair, Keerthana R, Ashok, Hridya, Subeesh, T., Krishnan Namboori, P.K., Karthikeyan, S., Soman, K.P., Murugadass, K.
Publikováno v:
In Optics and Laser Technology February 2025 181 Part A
Publikováno v:
Information Processing in Agriculture, Vol 10, Iss 4, Pp 547-563 (2023)
Evapotranspiration is an essential component of the hydrological cycle that is of particular interest for water resource planning. Its quantification is helpful in irrigation scheduling, water balance studies, water allocation, etc. Modelling of refe
Externí odkaz:
https://doaj.org/article/d87b3bb58bbb4b44afc48dfc4ea47737
Autor:
Vasu, Subeesh, Talabot, Nicolas, Lukoianov, Artem, Baqué, Pierre, Donier, Jonathan, Fua, Pascal
Deep implicit surfaces excel at modeling generic shapes but do not always capture the regularities present in manufactured objects, which is something simple geometric primitives are particularly good at. In this paper, we propose a representation co
Externí odkaz:
http://arxiv.org/abs/2109.10767
Autor:
Subeesh, A., Prakash Kumar, Satya, Kumar Chakraborty, Subir, Upendar, Konga, Singh Chandel, Narendra, Jat, Dilip, Dubey, Kumkum, Modi, Rajesh U., Mazhar Khan, Mohammad
Publikováno v:
In Measurement July 2024 234
Autor:
Prakash Kumar, Satya, Jat, Dilip, Sahni, Ramesh K., Jyoti, Bikram, Kumar, Manoj, Subeesh, A., Parmar, Bhupendra S., Mehta, C R
Publikováno v:
In Measurement July 2024 234
Autor:
Nand Lal Kushwaha, Nanabhau S. Kudnar, Dinesh Kumar Vishwakarma, A. Subeesh, Malkhan Singh Jatav, Venkatesh Gaddikeri, Ashraf A. Ahmed, Ismail Abdelaty
Publikováno v:
Heliyon, Vol 10, Iss 10, Pp e31085- (2024)
Water quality assessment is paramount for environmental monitoring and resource management, particularly in regions experiencing rapid urbanization and industrialization. This study introduces Artificial Neural Networks (ANN) and its hybrid machine l
Externí odkaz:
https://doaj.org/article/a3034cbb42804ef287bba74d11f024c0
Autor:
Kushwaha, Nand Lal, Kudnar, Nanabhau S., Vishwakarma, Dinesh Kumar, Subeesh, A., Jatav, Malkhan Singh, Gaddikeri, Venkatesh, Ahmed, Ashraf A., Abdelaty, Ismail
Publikováno v:
In Heliyon 30 May 2024 10(10)
Autor:
Yogesh A. Rajwade, Narendra S. Chandel, Abhilash K. Chandel, Satish Kumar Singh, Kumkum Dubey, A. Subeesh, V. P. Chaudhary, K. V. Ramanna Rao, Monika Manjhi
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5623 (2024)
Crop canopy temperature has proven beneficial for qualitative and quantitative assessment of plants’ biotic and abiotic stresses. In this two-year study, water stress identification in okra crops was evaluated using thermal–RGB imaging and AI app
Externí odkaz:
https://doaj.org/article/3f8c82917c484603900d3e0690a7a191
Most state-of-the-art approaches to road extraction from aerial images rely on a CNN trained to label road pixels as foreground and remainder of the image as background. The CNN is usually trained by minimizing pixel-wise losses, which is less than i
Externí odkaz:
http://arxiv.org/abs/2007.09084