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Premaladha Jayaraman
ORCID
Publication Activity (10 Years)
Years Active: 2016-2022
Publications (10 Years): 7
Top Topics
Intuitionistic Fuzzy
Comparative Analysis
Skin Lesion
Learning Algorithm
Top Venues
Soft Comput.
Inf.
Multim. Tools Appl.
Neural Comput. Appl.
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Publications
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Premaladha Jayaraman
,
Nirmala Veeramani
,
Raghunathan Krishankumar
,
Kattur Soundarapandian Ravichandran
,
Fausto Cavallaro
,
Pratibha Rani
,
Abbas Mardani
Wavelet-Based Classification of Enhanced Melanoma Skin Lesions through Deep Neural Architectures.
Inf.
13 (12) (2022)
Priya Govindarajan
,
Kattur Soundarapandian Ravichandran
,
Amir H. Gandomi
,
Rizwan Patan
,
Premaladha Jayaraman
,
Manikandan Ramachandran
Classification of stroke disease using machine learning algorithms.
Neural Comput. Appl.
32 (3) (2020)
Ramakrishnan Sundaram
,
K. S. Ravichandran
,
Premaladha Jayaraman
,
Balasubramaniam Venkatraman
A novel hybrid segmentation approach for optic papilla detection in high resolution fundus images of retina.
Multim. Tools Appl.
79 (31-32) (2020)
Raghunathan Krishankumar
,
Premaladha Jayaraman
,
K. S. Ravichandran
,
K. R. Sekar
,
Manikandan Ramachandran
,
X. Z. Gao
A novel extension to VIKOR method under intuitionistic fuzzy context for solving personnel selection problem.
Soft Comput.
24 (2) (2020)
Premaladha Jayaraman
,
Raghunathan Krishankumar
,
K. S. Ravichandran
,
Ramakrishnan Sundaram
,
Samarjit Kar
Comparative Analysis of Machine Learning Algorithms for Categorizing Eye Diseases.
IFIP TC12 ICIS
(2020)
Ramakrishnan Sundaram
,
Premaladha Jayaraman
,
R. Rangarajan
,
R. Rengasri
,
C. Rajeshwari
,
K. S. Ravichandran
Automated Optic Papilla Segmentation Approach Using Normalized Otsu Thresholding.
J. Medical Imaging Health Informatics
9 (7) (2019)
Premaladha Jayaraman
,
K. S. Ravichandran
Novel Approaches for Diagnosing Melanoma Skin Lesions Through Supervised and Deep Learning Algorithms.
J. Medical Syst.
40 (4) (2016)