E-LIB Suche - Ergebnisse für: MIRUNALINI, S P

1

Phenotypic characterization and genetic variability of Muth..:

MIRUNALINI, S P ; GANGA, M ; RAJAMANI, K...
The Indian Journal of Agricultural Sciences. 94 (2024) 7 - p. 761-766 , 2024

Link: https://doi.org/10.56093..

2

Phenotypic characterization and genetic variability, geneti..:

Mirunalini, S P ; Ganga, M ; Rajamani, K...
Plant Science Today. , 2024

Link: https://doi.org/10.14719..

3

Phenotypic characterization and genetic variability, geneti..:

Mirunalini, S P ; Ganga, M ; Rajamani, K...
http://horizonepublishing.com/journals/index.php/PST/article/view/3523/3434. , 2024

Link: http://horizonepublishin..

4

Phenotypic characterization and genetic variability of Muth..:

MIRUNALINI, S P ; GANGA, M ; RAJAMANI, K...
https://epubs.icar.org.in/index.php/IJAgS/article/view/147400/55015. , 2024

Link: https://epubs.icar.org.i..

5

Influences of chronic administration of melatonin on hormon..:

Mirunalini, S. ; Subramanian, P.
Biological Rhythm Research. 39 (2008) 2 - p. 123-129 , 2008

Link: https://doi.org/10.1080/..

6

Conditional adversarial segmentation and deep learning appr..:

Mirunalini, P. ; Desingu, Karthik ; Aswatha, S....
Neural Computing and Applications. , 2024

Link: https://doi.org/10.1007/..

7

A deep learning approach for nucleus segmentation and tumor..:

Jaisakthi, S. M. ; Desingu, Karthik ; Mirunalini, P...
Network Modeling Analysis in Health Informatics and Bioinformatics. 12 (2023) 1 - p. , 2023

Link: https://doi.org/10.1007/..

8

Segmentation of Coronary Arteries from CTA axial slices usi..:

, In: TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON),

Mirunalini, P. ; Aravindan, C. ; Nambi, A. Thamizh.. - p. 2074-2080 , 2019

Link: https://doi.org/10.1109/..

9

Automatic stenosis detection using SVM from CTA projection ..:

Mirunalini, P. ; Aravindan, Chandrabose ; Jaisakthi, S. M.
Multimedia Systems. 25 (2017) 2 - p. 83-93 , 2017

Link: https://doi.org/10.1007/..

10

Classification of skin cancer from dermoscopic images using..:

S M, Jaisakthi ; P, Mirunalini ; Aravindan, Chandrabose.
Multimedia Tools and Applications. 82 (2022) 10 - p. 15763-15778 , 2022

Link: https://doi.org/10.1007/..

11

Deep Learning for Skin Lesion Classification:

Mirunalini, P ; Chandrabose, Aravindan ; Gokul, Vignesh.
http://arxiv.org/abs/1703.04364. , 2017

Link: http://arxiv.org/abs/170..

12

Automatic Skin Lesion Segmentation using Semi-supervised Le..:

Jaisakthi, S. M ; Chandrabose, Aravindan ; Mirunalini, P
http://arxiv.org/abs/1703.04301. , 2017

Link: http://arxiv.org/abs/170..

13

Harnessing Energy from Everyday Life:

Roy, Madhusree Sankar ; Mirunalini, A R ; Krishna, Pavan Sai...
Journal of Physics: Conference Series. 2115 (2021) 1 - p. 012032 , 2021

Link: https://doi.org/10.1088/..

14

Fetal Health Assessment Through Remote Fetal Phonocardiogra..:

Aravindan, Mirunalini ; Alex, John Sahaya Rani ; S, Shwetha...
IEEE Sensors Journal. 23 (2023) 14 - p. 16219-16226 , 2023

Link: https://doi.org/10.1109/..

15

TET-mediated DNA hydroxymethylation is negatively influence..:

Tolić, Anja ; Ravichandran, Mirunalini ; Rajić, Jovana...
Epigenetics & Chromatin. 15 (2022) 1 - p. , 2022

Link: https://doi.org/10.1186/..