Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sanjay Kumar Dube"'
Publikováno v:
ITEGAM-JETIA, Vol 10, Iss 48 (2024)
Despite intense investigation in the area of software defect prediction, there are some critical regions that still need attention. Heterogeneity of data is one of these areas that seek attention. Local models have gained focus in resolving the probl
Externí odkaz:
https://doaj.org/article/d652f533f76841c7bb05d7a5a5aab84f
Publikováno v:
Journal of Information Systems Engineering and Business Intelligence, Vol 9, Iss 2, Pp 228-238 (2023)
Background: The rapid growth and increasing complexity of software applications are causing challenges in maintaining software quality within constraints of time and resources. This challenge led to the emergence of a new field of study known as Soft
Externí odkaz:
https://doaj.org/article/12b0bae9dcf244b29b6a42e1f0e3aa95
Autor:
Steve Bedell, Sanjay Kumar Dube, Olaf Stallmann, Peter Strunz, Michael Charles Balfe, Barath Baburao, Ola Augustsson
Publikováno v:
Energy Procedia. 114:5593-5615
The GE Chilled Ammonia Process (CAP) is a post combustion CO2 capture technology that produces a high purity CO2 product stream that can be utilized in the existing and new markets. The development of the CAP technology began with laboratory bench-sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d01e37a8fa06aca3346804cf22edf6ff
https://doi.org/10.1016/j.egypro.2017.03.1699
https://doi.org/10.1016/j.egypro.2017.03.1699
Autor:
Sanjay Kumar Dubey, Debasis Mandal
Publikováno v:
Journal of Telecommunications and Information Technology, Iss 1 (2023)
The approach described in this paper uses evolutionary algorithms to create multiple-beam patterns for a concentric circular ring array (CCRA) of isotropic antennas using a common set of array excitation amplitudes. The flat top, cosec2, and pencil b
Externí odkaz:
https://doaj.org/article/9be862e4e7a849fb830d9344aece2414
Autor:
Divya Gaur, Sanjay Kumar Dubey
Publikováno v:
Journal of Information and Organizational Sciences, Vol 46, Iss 2, Pp 277-291 (2022)
This study analyses numerous human activities and also classifies the activities based on their trait of motion using wearable sensors data. As a part of the Human Activity Recognition Framework's evelopment, the LSTM-RNN algorithm was implemented. W
Externí odkaz:
https://doaj.org/article/d01686c672524a5e8c94c06365701639