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pro vyhledávání: '"Ranjith kumar, S."'
Autor:
Jnanesha, A.C., Ranjith Kumar, S., Venugopal, S., Kumar, Ashish, Bharathkumar, S., Sravya, K., Lal, R.K.
Publikováno v:
In Ecological Genetics and Genomics September 2024 32
Publikováno v:
In Materials Today: Proceedings 2021 45 Part 2:1878-1881
Optimization of machine machining parameters in EDM of silicon nitride-titanium nitride based on RSM
Autor:
Ranjith Kumar, S., Srinivasan, V.P., Balamurugan, S., Dinesh Krishnaa, S., Gokul, V., Anudeep, S.
Publikováno v:
In Materials Today: Proceedings 2021 45 Part 2:1312-1318
Autor:
Ranjith Kumar, S., Krishnaa S, Dinesh, Gowthamaan, K.K., Chandra Mouli, D., Cibi Chakravarthi, K., Balasubramanian, T.
Publikováno v:
In Materials Today: Proceedings 2021 37 Part 2:3179-3183
Publikováno v:
International Journal for Research in Applied Science and Engineering Technology. 11:2678-2682
In this modern era research in the agricultural fields going on. Day by day the population of India is increasing andto fulfill the need of food, modernizationof agricultural sectors is important.Mechanization gives higher productivityin minimum inpu
Autor:
Kumar, M., Patel, A., Jaiswal, A., Ranjan, A., Mohanta, D., Sahu, S., Saraswat, A., Rao, Prasad, Rao, T.S., Mehta, V., Ranjith kumar, S., Bhattacharyay, R., Rajendrakumar, E., Malhotra, S., Satyamurthy, P.
Publikováno v:
In Fusion Engineering and Design January 2019 138:1-5
Autor:
Ranjith Kumar S, Ezhil Rajan
Publikováno v:
Indian Journal of Clinical Anaesthesia. 6:129-133
Introduction: Pain relief after Operation is one of the most common growing concern for an anesthesiologist as an uneventful postoperative period makes surgery a comfortable proposition for surgical patients. Perkins and co-workers provided an insigh
Publikováno v:
Journal of Evolution of Medical and Dental Sciences. 7:5488-5491
Publikováno v:
2020 IEEE Recent Advances in Intelligent Computational Systems (RAICS).
Solving inverse kinematics(IK) equation is a very important task in robotic manipulation. For the first time, this paper presents an improved neural network-based solution for the inverse kinematics problem in manipulators. The concept behind this wo
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