Shreelekha Pandey

Orcid: 0000-0002-0476-5778

According to our database1, Shreelekha Pandey authored at least 13 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A hybrid weighted fuzzy approach for brain tumor segmentation using MR images.
Neural Comput. Appl., November, 2023

Predicting clothing attributes with CNN and SURF based classification model.
Multim. Tools Appl., March, 2023

2022
An efficient Hadoop-based brain tumor detection framework using big data analytic.
Softw. Pract. Exp., 2022

2020
A survey on brain tumor detection techniques for MR images.
Multim. Tools Appl., 2020

An Efficient Hybrid Approach for Brain Tumor Detection in MR Images using Hadoop-MapReduce.
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020

2019
Hybrid Approaches for Brain Tumor Detection in MR Images.
Proceedings of the Advances in Computing and Data Sciences, 2019

2018
A semi-supervised domain adaptation assembling approach for image classification.
Pattern Anal. Appl., 2018

Semi-automatic leaf disease detection and classification system for soybean culture.
IET Image Process., 2018

2016
Clustering of hierarchical image database to reduce inter-and intra-semantic gaps in visual space for finding specific image semantics.
J. Vis. Commun. Image Represent., 2016

A semantics and image retrieval system for hierarchical image databases.
Inf. Process. Manag., 2016

Content-based image retrieval embedded with agglomerative clustering built on information loss.
Comput. Electr. Eng., 2016

2015
An effective use of adaptive combination of visual features to retrieve image semantics from a hierarchical image database.
J. Vis. Commun. Image Represent., 2015

2013
Finding Image Semantics from a Hierarchical Image Database Based on Adaptively Combined Visual Features.
Proceedings of the Database and Expert Systems Applications, 2013


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