Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Duraisamy, Jude Hemanth"'
Publikováno v:
Informatics, Vol 9, Iss 3, p 57 (2022)
Over the last few years, a rich amount of research has been conducted on remote vital sign monitoring of the human body. Remote photoplethysmography (rPPG) is a camera-based, unobtrusive technology that allows continuous monitoring of changes in vita
Externí odkaz:
https://doaj.org/article/de089cbef16344fabd9fe29d176a0df0
Publikováno v:
Progress In Electromagnetics Research Letters. 108:103-112
Autor:
Radhakrishnan Sujatha, Jyotir Moy Chatterjee, Anastassia Angelopoulou, Epaminondas Kapetanios, Parvathaneni Naga Srinivasu, Duraisamy Jude Hemanth
Publikováno v:
IET Image Processing. 17:1979-1990
Recognition of Bloom/Yield in Crop Images Using Deep Learning Models for Smart Agriculture: A Review
Publikováno v:
Agronomy, Vol 11, Iss 4, p 646 (2021)
Precision agriculture is a crucial way to achieve greater yields by utilizing the natural deposits in a diverse environment. The yield of a crop may vary from year to year depending on the variations in climate, soil parameters and fertilizers used.
Externí odkaz:
https://doaj.org/article/125217e51b2a4806a92e1602bb6eb477
Autor:
Remya Remani Sathyan, Gopakumar Chandrasekhara Menon, Hari Prasad, Hariharan Sreedharan, Duraisamy Jude Hemanth
Publikováno v:
International Journal of Imaging Systems and Technology. 32:2017-2033
Publikováno v:
Open Computer Science, Vol 11, Iss 1, Pp 399-410 (2021)
Ultrasonography is an extensively used medical imaging technique for multiple reasons. It works on the basic theory of echoes from the tissues under consideration. However, the occurrence of signal dependent noise such as speckle destroys utility of
Publikováno v:
Telkomnika; Aug2023, Vol. 21 Issue 4, p825-835, 11p
Publikováno v:
Computer Modeling in Engineering & Sciences. 128:875-906
Akademický článek
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Autor:
Lazarus Godson Asirvatham, Somchai Wongwises, J. Jayakumar, Appadurai Anitha Angeline, Duraisamy Jude Hemanth
Publikováno v:
Sustainable Energy Technologies and Assessments. 33:53-60
This paper presents the application of Artificial Neural Networks for the simulation of the performance parameters of a hybrid thermoelectric generator, using the artificial neural networks tool in the MATLAB software under various temperature, load