Zobrazeno 1 - 10
of 438
pro vyhledávání: '"N. Srihari"'
Autor:
Sharma K. N, Srihari1 (AUTHOR) srihari-physio@dsu.edu.in, Kumar H, Anil2 (AUTHOR)
Publikováno v:
Journal of Foot & Ankle Research. 9/28/2023, Vol. 16 Issue 1, p1-9. 9p.
Autor:
Tiehang Duan, Mohammad Abuzar Shaikh, Mihir Chauhan, Jun Chu, Rohini K. Srihari, Archita Pathak, Sargur N. Srihari
Publikováno v:
IEEE Access, Vol 8, Pp 224791-224802 (2020)
Electroencephalogram (EEG) signal has large variance and its pattern differs significantly across subjects. Cross subject EEG classification is a challenging task due to such pattern variation and the limited target data available, as collecting and
Externí odkaz:
https://doaj.org/article/7a49971bbce9419989d825591ed6e738
The field of biometrics utilizes computer models of the physical and behavioral characteristics of human beings with a view to reliable personal identification. The human characteristics of interest include visual images, speech, and indeed anything
OC-0105 PROMPTS RCT of screening MRI for spinal cord compression in prostate cancer (ISRCTN74112318)
Autor:
D. Dearnaley, V. Hinder, A. Hijab, G. Horan, N. Srihari, P. Rich, G. Houston, A. Henry, S. Gibbs, R. Venkitaraman, C. Cruickshank, S. Hassan, M. Mason, I. Pedley, H. Payne, S. Brock, R. Wade, A. Robinson, O. Din, K. Lees, J. Murray, C. Parker, C. Griffin, A. Sohaib, E. Hall
Publikováno v:
Radiotherapy and Oncology. 170:S78-S80
Publikováno v:
Neurocomputing. 538:126210
Autor:
Gang Chen, Sargur N. Srihari
Publikováno v:
Pattern Recognition Letters. 140:214-221
Deep learning has attracted significant attention for its applications to a variety of classification problems, such as handwritten recognition, image classification and document categorization. One reason behind the success of deep learning can be a
Publikováno v:
Journal of Drug Delivery and Therapeutics. 10:122-128
In the current scenario of pharmaceutical research much attention has been focused on patients health in terms of therapeutic efficacy and economical standards (price factor).The formulation design consist of core tablets designed by direct compressi
Autor:
Jun Chu, Rohini K. Srihari, Mihir Chauhan, Sargur N. Srihari, Archita Pathak, Mohammad Abuzar Shaikh, Tiehang Duan
Publikováno v:
IEEE Access, Vol 8, Pp 224791-224802 (2020)
Electroencephalogram (EEG) signal has large variance and its pattern differs significantly across subjects. Cross subject EEG classification is a challenging task due to such pattern variation and the limited target data available, as collecting and
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Akademický článek
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