Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Shalini Ramanathan
Observed names:
R, Shalini,
Ramanathan, Shalini,
Shalini R
Institution:
VIT-AP University
Observed institutions:
National Institute of Technology Tiruchirappalli,
Jadavpur University,
VIT-AP University,
PSG College of Technology
ORCID:
0000-0002-4954-8013
Observed ORCID:
0000-0002-4954-8013
OpenAlex ID:
A5048767346
Comparison of Cloud database: Amazon's SimpleDB and Google's Bigtable
2011
·
Shalini Ramanathan
, Savita Goel
, et al.
·
IEEE International Conference on Recent Trends in Information Systems
·
36
RETRACTED ARTICLE: Accurate computation: COVID-19 rRT-PCR positive test dataset using stages classification through textual big data mining with machine learning
2021
·
Shalini Ramanathan
, Mohan Ramasundaram
·
The Journal of Supercomputing
·
16
PDF
Low-Dose CT Image Reconstruction using Vector Quantized Convolutional Autoencoder with Perceptual Loss
2023
·
Shalini Ramanathan
, Mohan Ramasundaram
·
Sadhana
·
8
Low Dose CT Image Reconstruction Using Deep Convolutional Residual Learning Network
2023
·
Shalini Ramanathan
, Mohan Ramasundaram
·
SN Computer Science
·
6
Alzheimer’s Disease Shape Detection Model in Brain Magnetic Resonance Images Via Whale Optimization with Kernel Support Vector Machine
2022
·
Shalini Ramanathan
, Mohan Ramasundaram
·
Journal of Electrical Engineering and Technology
·
6
Drugs Relationship Discovery using Hypergraph
2018
·
Shalini R
, Mohan R
·
International Journal of Information Technology and Computer Science
·
5
PDF
Edge Computing in Healthcare
2023
·
Shalini Ramanathan
, Anabel Pineda-Briseno
, et al.
·
CRC Press eBooks
·
4
A Deep Learning CNN Model for Genome Sequence Classification
2021
·
Hemalatha Gunasekaran
, K. Ramalakshmi
, et al.
·
CRC Press eBooks
·
4
Uncovering Brain Chaos with Hypergraph-Based Framework
2020
·
Shalini Ramanathan
, Mohan Ramasundaram
·
International Journal of Intelligent Systems and Applications
·
4
PDF
Hypergraph Learning for Fundamental Shape Detection
2019
·
Shalini Ramanathan
, Mohan Ramasundaram
·
Procedia Computer Science
·
3
PDF
An ANN model for the identification of deleterious nsSNPs in tumor suppressor genes
2011
·
Vinod Chandra
, Rejimoan Ramakrishnan
, et al.
·
Bioinformation
·
3
PDF
Vector Quantized Convolutional Autoencoder Network for LDCT Image Reconstruction with Hybrid Loss
2023
·
Shalini Ramanathan
, Mohan Ramasundaram
·
SN Computer Science
·
2
Multilevel Neuron Model Construction Related to Structural Brain Changes Using Hypergraph
2020
·
Shalini Ramanathan
, Mohan Ramasundaram
·
Advances in intelligent systems and computing
·
2
Brain Tumour Detection Using Quantum Convolutional Neural Networks (QCNN)
2025
·
S Karthik
, K Snehanvitha
, et al.
·
OITS International Conference on Information Technology (OCIT)
·
1
Vector Quantized Convolutional Autoencoder for Low-Dose CT Image Reconstruction with Perceptual and Bias Reducing Loss
2023
·
Shalini Ramanathan
, Mohan Ramasundaram
·
Journal of Uncertain Systems
·
1
Retraction Note to: Accurate computation: COVID-19 rRT-PCR positive test dataset using stages classification through textual big data mining with machine learning
2022
·
Shalini Ramanathan
, Mohan Ramasundaram
·
The Journal of Supercomputing
·
1
PDF
Image Reconstruction Based on Shape Analysis
2021
·
Shalini Ramanathan
, Mohan Ramasundaram
·
Lecture notes in networks and systems
·
1
An Improved Ensemble Classifier Model to Combat the Escalating Threat of Viral Infections
2025
·
Boddu Vikas
, Shalini Ramanathan
, et al.
·
CRC Press eBooks
LDCT Image Reconstruction on Edge Attention Graph Convolutional Network with Perceptual Loss and LoDoPaB-CT
2023
·
Shalini Ramanathan
, Mohan Ramasundaram
·
International Conference in Advances in Power, Signal, and Information Technology (APSIT)
GISP Algorithm for identifying strong expression and structural pattern of gene in mouse brain data in the field of neuroinformatics
2016
·
Shalini R
·
Frontiers in Neurology
Show more works
View as search
Works count:
23
Citation count:
105
H-index:
5
I10-index:
2
Year
Topic
Type