Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Satish S. Salunkhe"'
Publikováno v:
Measurement: Sensors, Vol 33, Iss , Pp 101082- (2024)
Artificial intelligence (AI) and sensor technology developments have sparked revolutionary shifts in a number of fields, including biometric Identification. In order to improve human identification processes, this research offers a novel method that
Externí odkaz:
https://doaj.org/article/48f437fb71b249a1bf1676a92785bafb
Autor:
Satish S. Salunkhe, Shelendra Pal, Abhishek Agrawal, Ravi Rai, S. S. Sreeja Mole, Bos Mathew Jos
Publikováno v:
The Journal of Supercomputing. 78:8493-8508
Autor:
K. Karnavel, G. Shanmugasundaram, Satish S. Salunkhe, V. Kamatchi Sundari, M. Shunmugathammal, Bal Krishna Saraswat
Publikováno v:
Intelligent Automation & Soft Computing. 32:1855-1865
Autor:
Satish S. Salunkhe, Aditya Tandon, M. Arun, Nazeer Shaik, Supriya Nandikolla, D. Ramkumar, S. Lakshmi Narayanan
Publikováno v:
International Journal of Engineering Systems Modelling and Simulation. 1:1
Publikováno v:
Journal of Intelligent Systems, Vol 27, Iss 4, Pp 537-554 (2018)
The academic performance assessment of students helps teachers, administrators, and policymakers to initiate corrective measures on academically poor students. This paper revisits the Zadeh-Deshpande formalism for evaluating students’ answer script
Publikováno v:
FUZZ-IEEE
Several factors, either numeric or nonnumeric can have varying degrees of influence on academic performance of students. It is believed that ranking of these factors will, hopefully, assist management to initiate corrective action, with a view to imp
Publikováno v:
International Journal of Engineering Systems Modelling and Simulation. 1:1
Autor:
S. Jeevitha, Vinodkumar Jacob, Aditya Tandon, Rakesh Kumar Arora, Satish S. Salunkhe, Shilpa Laddha
Publikováno v:
International Journal of Engineering Systems Modelling and Simulation. 1:1
Publikováno v:
Journal of Intelligent Systems, Vol 25, Iss 2, Pp 85-97 (2016)
The examinee and the examiner play pivotal roles in the educational grading system. Students’ academic performance evaluation by multiple experts involves epistemic uncertainty, which can be modeled using a fuzzy set theory. How many evaluators/exp
Autor:
Ashok Deshpande, Satish S. Salunkhe
Publikováno v:
Data Science and Knowledge Engineering for Sensing Decision Support.