Zobrazeno 1 - 10
of 32
pro vyhledávání: '"N. Srinivasa Gupta"'
Autor:
B. Valarmathi, N. Srinivasa Gupta, G. Prakash, R. Hemadri Reddy, S. Saravanan, P. Shanmugasundaram
Publikováno v:
IEEE Access, Vol 11, Pp 77228-77239 (2023)
Deep learning and computer vision algorithms will be applied to find the breed of the dog from an image. The goal is to have the user submit an image of a dog, and the model will choose one of the 120 breeds stated in the dataset to determine the dog
Externí odkaz:
https://doaj.org/article/00b5961a0d144db1ad0527f9f8df60e0
Autor:
B. Valarmathi, Jain Kshitij, Rajpurohit Dimple, N. Srinivasa Gupta, Y. Harold Robinson, G. Arulkumaran, Tadesse Mulu
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2023 (2023)
Drone examination has been overall quickly embraced by NDMM (natural disaster mitigation and management) division to survey the state of impacted regions. Manual video analysis by human observers takes time and is subject to mistakes. The human ident
Externí odkaz:
https://doaj.org/article/2f12331fb92c44be85287281bfe673ed
Publikováno v:
Journal of Environmental and Public Health.
An index for reporting air quality is called the air quality index (AQI). It measures the impact of air pollution on a person’s health over a short period of time. The purpose of the AQI is to educate the public on the negative health effects of lo
Autor:
B. Valarmathi, N. Srinivasa Gupta, K. Santhi, T. Chellatamilan, A. Kavitha, Armaan Raahil, N. Padmavathy
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783031289743
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f10760a2bc372f157473013fac7e0c9c
https://doi.org/10.1007/978-3-031-28975-0_3
https://doi.org/10.1007/978-3-031-28975-0_3
Publikováno v:
Materials Today: Proceedings. 22:3312-3319
This paper aims to demystify the possibility of using Hamann, Yule (value ranges from -1 to +1) and Jaccard (value ranges from 0 to +1) similarity measures for the machine-part cell formation (MPCF) using the CARI heuristic [17] that uses correlation
Publikováno v:
Sādhanā. 46
This paper presents a correlation analysis-based heuristic for the machine-part cell formation in the context of cellular manufacturing systems. Two new indices, viz. “mean correlation index” for forming the part families and “relevance index-m
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789813349087
Sentiment analysis is a text investigation technique that distinguishes extremity inside the text, regardless of whether an entire document, sentence, etc. Understanding individuals’ feelings are fundamental for organizations since customers can co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69583d121d4efee8d13244bc0a5bfaed
https://doi.org/10.1007/978-981-33-4909-4_33
https://doi.org/10.1007/978-981-33-4909-4_33
Publikováno v:
International Journal of Engineering Research and.
Publikováno v:
Innovative Data Communication Technologies and Application ISBN: 9783030380397
Diabetes is a major metabolic disease which affects the entire body system. It becomes a lifelong disease if not handled properly in the early stages of diagnosis. People produce a hormone called insulin. It is a hormone which is used to convert gluc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4c1f18d51717e8442b6e6c88b75c0ba
https://doi.org/10.1007/978-3-030-38040-3_93
https://doi.org/10.1007/978-3-030-38040-3_93
Publikováno v:
Materials Today: Proceedings. 5:13574-13584
A novel genetic algorithm (GA) is proposed in this paper for solving the machine-part cell formation problem in the presence of alternative process plans. Parent chromosomes with number of genes equal to the number of parts are generated based on the