Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Prasenjit Dhar"'
Publikováno v:
ICT Express, Vol 7, Iss 1, Pp 99-103 (2021)
Road boundary lanes are one of the serious causes of road accidents and it affects the driver and people’s safety. Detecting road boundary lanes is a challenging task for both computer vision and machine learning approaches. In recent years many ma
Externí odkaz:
https://doaj.org/article/7426a9d417c849c993e8a3e1be2ff6f7
Publikováno v:
International Journal of Imaging Systems and Technology. 33:928-950
Autor:
Shailja Katoch, Shweta Dohru, Mandeep Sharma, Vikram Vashist, Rajesh Chahota, Prasenjit Dhar, Aneesh Thakur, Subhash Verma
Publikováno v:
Veterinary World, Vol 10, Iss 12, Pp 1421-1426 (2017)
Aim: The study was designed to measure the seroprevalence of viral and bacterial diseases: Infectious bovine rhinotracheitis, bovine viral diarrhea, bovine leukemia, bovine parainfluenza, bovine respiratory syncytial disease, brucellosis, and paratub
Externí odkaz:
https://doaj.org/article/b0bd3502e32248b785d63111f5596f51
Publikováno v:
Soft Computing. 26:9141-9153
Autor:
Mithu Anjali Gayan, Prasenjit Dhar
Publikováno v:
DESIDOC Journal of Library & Information Technology. 42:185-190
The official website of any organisation provides authentic information about it. The current study is a novel attempt to explore international library association websites and assess those websites based on web content evaluation and webometric para
Publikováno v:
Veterinary World, Vol 9, Iss 9, Pp 964-969 (2016)
Aim: The present study was conducted to detect the presence of canine parvovirus (CPV) among diarrheic dogs in Himachal Pradesh and to identify the most prevalent antigenic variant of CPV based on molecular typing and sequence analysis of VP2 gene.
Externí odkaz:
https://doaj.org/article/cbbf9f99f2f74868a7257b84ca28356e
Publikováno v:
2023 International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC).
Publikováno v:
Innovations in Systems and Software Engineering.
Publikováno v:
ICT Express, Vol 7, Iss 1, Pp 99-103 (2021)
Road boundary lanes are one of the serious causes of road accidents and it affects the driver and people’s safety. Detecting road boundary lanes is a challenging task for both computer vision and machine learning approaches. In recent years many ma
Autor:
Nirdeshika Chaudhary, Prasenjit Dhar, Mandeep Sharma, Ajay Katoch, Subhash Verma, T. Sabarinath, Pratiksha Srivastava, Aneesh Thakur
Publikováno v:
Indian Journal of Comparative Microbiology, Immunology and Infectious Diseases. 42:141-147