Zobrazeno 1 - 10
of 114
pro vyhledávání: '"G. Prashanth"'
Autor:
G. Prashanth, Basavaraj Vastrad, Anandkumar Tengli, Chanabasayya Vastrad, Iranna Kotturshetti
Publikováno v:
BMC Endocrine Disorders, Vol 21, Iss 1, Pp 1-65 (2021)
Abstract Background Type 1 diabetes (T1D) is a serious threat to childhood life and has fairly complicated pathogenesis. Profound attempts have been made to enlighten the pathogenesis, but the molecular mechanisms of T1D are still not well known. Met
Externí odkaz:
https://doaj.org/article/33c7084e619c4f9a9bbe266733eaf7ef
Autor:
G. Prashanth, Basavaraj Vastrad, Anandkumar Tengli, Chanabasayya Vastrad, Iranna Kotturshetti
Publikováno v:
BMC Endocrine Disorders, Vol 21, Iss 1, Pp 1-48 (2021)
Abstract Background Obesity associated type 2 diabetes mellitus is a metabolic disorder ; however, the etiology of obesity associated type 2 diabetes mellitus remains largely unknown. There is an urgent need to further broaden the understanding of th
Externí odkaz:
https://doaj.org/article/ab6f78f695334bb9962233e51dee7118
Autor:
Kebede, Alemu Workie, Majumder, Tanmoy, Patowari, Promod Kumar, Sahoo, Chinmaya Kumar, K. G., Prashanth
Publikováno v:
Material Design & Processing Communications; 11/4/2024, Vol. 2024, p1-13, 13p
Publikováno v:
Transactions of the Indian National Academy of Engineering. 8:245-251
Publikováno v:
Metallurgical and Materials Transactions A. 53:4004-4010
Publikováno v:
Materials Research Letters, Vol 5, Iss 6, Pp 386-390 (2017)
The effective fabrication of materials using selective laser melting depends on the process parameters. Here, we analyse the suitability of the energy density to represent the energy transferred to the powder bed, which is effectively used to melt th
Externí odkaz:
https://doaj.org/article/a9a20208ebf640fabdf0f85d48091e73
Publikováno v:
Transactions of the Indian Institute of Metals. 76:565-570
Publikováno v:
International Journal of Advanced Research in Science, Communication and Technology. :366-371
Visual Perception is related with detecting objects. Detection of the object is done by using YOLO network. There are multiple object detection algorithms like Fast- Convolutional Neural Network (Fast-CNN), Faster-Convolutional Neural Network(Faster-
Autor:
Neera Singh, Vimal Edachery, Monika Rajput, Kaushik Chatterjee, Satish V. Kailas, K. G. Prashanth
Publikováno v:
Journal of Materials Research. 37:2525-2535
Publikováno v:
Progress in Additive Manufacturing. 7:453-461