Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Purushothaman, Raja"'
Publikováno v:
Aircraft Engineering and Aerospace Technology, 2021, Vol. 94, Issue 1, pp. 31-44.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/AEAT-11-2020-0257
Publikováno v:
In Biosystems Engineering September 2021 209:139-153
Publikováno v:
Automatika, Vol 61, Iss 2, Pp 260-272 (2020)
The biotic stress of agricultural crops is a major concern across the globe. Especially, its major effects are felt in economically poor countries where advanced facilities for diagnosis of a disease is limited as well as lack of awareness among the
Externí odkaz:
https://doaj.org/article/ced057af179e4513b9424ff267e3634c
Autor:
Rangarajan, Aravind Krishnaswamy1, Purushothaman, Raja1 raja_sastra@yahoo.com, Prabhakar, Maheswari1, Szczepański, Cezary2
Publikováno v:
Journal of Engineering Research (2307-1877). Mar2023, Vol. 11 Issue 1B, p228-252. 25p.
Autor:
Sambandam, Shreeram Gopal1 (AUTHOR), Purushothaman, Raja1 (AUTHOR) raja_sastra@yahoo.com, Baig, Rahmath Ulla2 (AUTHOR), Javed, Syed3 (AUTHOR), Hoang, Vinh Truong4 (AUTHOR), Tran-Trung, Kiet4 (AUTHOR)
Publikováno v:
International Journal of Advanced Manufacturing Technology. Feb2023, Vol. 124 Issue 10, p3519-3532. 14p. 2 Color Photographs, 1 Black and White Photograph, 1 Diagram, 13 Charts, 8 Graphs.
Publikováno v:
Advances in Mechanical Engineering, Vol 13 (2021)
An imperative requirement of a modern machining system is to detect tool wear while machining to maintain the surface quality of the product. Vibration signatures emanating during machining with a single point cutting tool have proven to be good indi
Externí odkaz:
https://doaj.org/article/4ca1e93ec59f4036a962b3e4851b11a0
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
Smart farming employs intelligent systems for every domain of agriculture to obtain sustainable economic growth with the available resources using advanced technologies. Deep Learning (DL) is a sophisticated artificial neural network architecture tha
Externí odkaz:
https://doaj.org/article/fc4c2dcd449b480c91e2bf8a329f4d33
Publikováno v:
In Procedia Computer Science 2018 133:1040-1047
Publikováno v:
Spanish Journal of Agricultural Research, Vol 17, Iss 3, Pp e0204-e0204 (2019)
Aim of study: The application of pre-trained deep learning models, AlexNet and VGG16, for classification of five diseases (Epilachna beetle infestation, little leaf, Cercospora leaf spot, two-spotted spider mite and Tobacco Mosaic Virus (TMV)) and a
Externí odkaz:
https://doaj.org/article/b138253913584062b639feec9dd56a5f
Autor:
Krishnaswamy Rangarajan, Aravind1, Purushothaman, Raja1 raja_sastra@yahoo.com
Publikováno v:
Scientific Reports. 2/11/2020, Vol. 10 Issue 1, p1-11. 11p.