Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Kumudha Raimond"'
Publikováno v:
Artificial Intelligence in Agriculture, Vol 11, Iss , Pp 34-49 (2024)
Rice stands as a crucial staple food globally, with its enduring sustainability hinging on the prompt detection of rice leaf diseases. Hence, efficiently detecting diseases when they have already occurred holds paramount importance for solving the co
Externí odkaz:
https://doaj.org/article/8b580ff0888f4af5859018f6871671ec
Autor:
Deena P. Francis, Kumudha Raimond
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 1, Pp 1455-1465 (2022)
Approximate Matrix Multiplication (AMM) has emerged as a useful and computationally inexpensive substitute for actual multiplication of large matrices. Randomized as well as deterministic solutions to AMM were provided in the past. The latest work pr
Externí odkaz:
https://doaj.org/article/9893e4b0e23a427483a11a3c71bc8ed1
Autor:
Kumudha Raimond, Gadudasu Babu Rao, Sujitha Juliet, S. Rubeena Grace Tamilarasi, P. S. Evangelin, Limson Mathew
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
Externí odkaz:
https://doaj.org/article/a1966404dedb496fb093e721a81a29fe
Publikováno v:
International Journal of Electronics and Telecommunications, Vol vol. 65, Iss No 2, Pp 217-228 (2019)
Of late, the science of Remote Sensing has been gaining a lot of interest and attention due to its wide variety of applications. Remotely sensed data can be used in various fields such as medicine, agriculture, engineering, weather forecasting, milit
Externí odkaz:
https://doaj.org/article/bd017d9c40c54b86b46a3613db174bea
Publikováno v:
Intelligent Decision Technologies. 17:457-470
Learning algorithms are often equipped with kernels that enable them to deal with non-linearities in the data, which ensures increased performance in practice. However, traditional kernel based methods suffer from the problem of scalability. As a wor
Publikováno v:
The Digital Agricultural Revolution. :87-107
Publikováno v:
The Digital Agricultural Revolution. :1-24
Autor:
Vania Vieira Estrela, Maria Aparecida de Jesus, Jenice Aroma, Kumudha Raimond, Sandro R. Fernandes, Nikolaos Andreopoulos, Edwiges G. H. Grata, Andrey Terziev, Ricardo Tadeu Lopes, Anand Deshpande
Publikováno v:
International Journal of Multimedia Data Engineering and Management. 12:16-38
The 3D end-to-end video system (i.e., 3D acquisition, processing, streaming, error concealment, virtual/augmented reality handling, content retrieval, rendering, and displaying) still needs improvements. This paper scrutinizes the motion compensation
Publikováno v:
Sustainable Computing: Informatics and Systems. 39:100884
Autor:
Kumudha Raimond, Deena P. Francis
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 1, Pp 1455-1465 (2022)
Approximate Matrix Multiplication (AMM) has emerged as a useful and computationally inexpensive substitute for actual multiplication of large matrices. Randomized as well as deterministic solutions to AMM were provided in the past. The latest work pr