Zobrazeno 1 - 10
of 55
pro vyhledávání: '"V. Sathiesh Kumar"'
Publikováno v:
Journal of Applied Spectroscopy. 88:1215-1228
Publikováno v:
Springer Proceedings in Materials ISBN: 9789819916153
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d24c5eb244daff6ef181c55fe38de64
https://doi.org/10.1007/978-981-99-1616-0_10
https://doi.org/10.1007/978-981-99-1616-0_10
Autor:
V. Sathiesh Kumar, S. Anubha Pearline
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031314162
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41db3d177dcc61cbc309a58686ea860d
https://doi.org/10.1007/978-3-031-31417-9_5
https://doi.org/10.1007/978-3-031-31417-9_5
Efficient inception V2 based deep convolutional neural network for real‐time hand action recognition
Autor:
S. Rubin Bose, V. Sathiesh Kumar
Publikováno v:
IET Image Processing. 14:688-696
The most effective and accurate deep convolutional neural network (faster region-based convolutional neural network (Faster R-CNN) Inception V2 model, single shot detector (SSD) Inception V2 model) based architectures for real-time hand gesture recog
Publikováno v:
ICCCNT
Neural network with two hidden layer is used in the process of detecting the anomalies in the input audio signal. Three types of input signals (Diesel engine sound, musical instruments, speech signal through microphone) are considered in the studies.
Autor:
K. Dineshraja, V. Sathiesh Kumar
Publikováno v:
ICCCNT
Real-time plant species recognition in unconstrained backgrounds such as scale changes, illumination variations, orientation or viewpoint variations, cluttered backgrounds and complex structure of leaf (simple or compound), is a challenging and time-
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 36:1997-2004
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 36:2005-2013
Publikováno v:
Sensor Letters. 16:951-954
Publikováno v:
2021 Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII).
In teleoperation mechanism, the surgical robots are controlled using hand gestures from remote location. The remote location robotic arm control using hand gesture recognition is a challenging computer vision problem. The hand action recognition unde