Zobrazeno 1 - 10
of 718
pro vyhledávání: '"N. Srinivasu"'
Autor:
Simon Zawka, P. D. N. Srinivasu
Publikováno v:
Mathematics in Applied Sciences and Engineering, Vol 5, Iss 2 (2024)
This paper deals with the optimal harvesting of single-species populations in a polluted and seasonally varying environment. The presence of pollution negatively impacts resource growth, and as a consequence, the economic rent from harvest suffers. A
Externí odkaz:
https://doaj.org/article/e7f741ef1d1b49d292aef9d048bc2346
Autor:
Chitrakant Banchhor, N. Srinivasu
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-19 (2021)
Abstract The process of big data handling refers to the efficient management of storage and processing of a very large volume of data. The data in a structured and unstructured format require a specific approach for overall handling. The classifiers
Externí odkaz:
https://doaj.org/article/3891f38bb22d43978790f630ed84ce7c
Autor:
ZAWKA, S. D., P. D. N., SRINIVASU
Publikováno v:
TWMS Journal of Applied & Engineering Mathematics; 2024, Vol. 14 Issue 2, p816-833, 18p
Publikováno v:
Russian Journal of Organic Chemistry. 59:190-195
Publikováno v:
Information Security Journal: A Global Perspective. :1-15
Synthesis of Novel 3-(Piperazin-1-yl)-1,2-benzothiazole Derivatives and Their Antibacterial Activity
Publikováno v:
Russian Journal of Organic Chemistry. 58:1534-1541
Autor:
Puvvada Nagesh, N. Srinivasu
Publikováno v:
Information Security Journal: A Global Perspective. :1-14
Autor:
Puvvada Nagesh, N. Srinivasu
Publikováno v:
International Journal of Modeling, Simulation, and Scientific Computing.
With the broader development of networking, data acquired from IoT and big data have grown significantly in various real-time applications. It provides a transparent role of human life as it shows an extensive bond with data provisioning. On the othe
Autor:
Chitrakant Banchhor, N. Srinivasu
Publikováno v:
Web Intelligence. 20:53-66
Modern systems like the Internet of Things, cloud computing, and sensor networks generate a huge data archive. The knowledge extraction from these huge archived data requires modified approaches in algorithm design techniques. The field of study in w
Publikováno v:
2023 7th International Conference on Computing Methodologies and Communication (ICCMC).