Dr. Shreelekha Pandey
Assistant Professor
Specialization
Image semantics retrieval, Computer vision, Image processing, Retrieval and indexing of image data, Data clustering and indexing, Data structures and Algorithms, Operating Systems
shreelekha.pandey@thapar.edu
Image semantics retrieval, Computer vision, Image processing, Retrieval and indexing of image data, Data clustering and indexing, Data structures and Algorithms, Operating Systems
Degree |
University/Institution |
Year |
Specialization |
B.E. |
GGITS, Jabalpur |
2007 |
Computer Science & Engineering |
M.E. |
SGSITS, Indore |
2010 |
Computer Engineering |
Ph.D. |
PDPM IIITDMJ, Jabalpur |
2015 |
Computer Science & Engineering |
|
Title of Paper |
Name of Journal& ISSN Number |
Volume, Page Number & Year |
SCI/SCIE |
i |
A hybrid weighted fuzzy approach for brain tumor segmentation using MR images |
Neural Computing and Applications & 1433-3058 |
https://doi.org/10.1007/s00521-021-06010-w |
SCIE |
ii |
An efficient Hadoop-based brain tumor detection framework using big data analytic |
Software: Practice and Experience & 0038-0644 |
https://doi.org/10.1002/spe.2899 |
SCIE |
iii |
A survey on brain tumor detection techniques for MR images |
Multimedia Tools and Applications & 1573-7721 |
Vol. 79 Issue 29/30, p21771-21814, Aug2020 |
SCIE |
iv |
Plants Disease Identification and Classification Through Leaf Images: A Survey |
Archives of Computational Methods in Engineering & 1886-1784 |
Vol. 26, p507-530, 2019 |
SCIE |
v |
Semi-automatic leaf disease detection and classification system for soybean culture |
IET Image Processing & 1751-9659 |
Vol. 12 Issue 6, p1038-1048, 2018 |
SCIE |
vi |
A semi-supervised domain adaptation assembling approach for image classification |
Pattern Analysis and Applications & 1433-755X |
Vol. 21 Issue 3, p813–827, 2018 |
SCIE |
vii |
Content-based image retrieval embedded with agglomerative clustering built on information loss |
Computers & Electrical Engineering & 0045-7906 |
Vol. 54, p506-521, 2016 |
SCIE |
viii |
Clustering of hierarchical image database to reduce inter-and intra-semantic gaps in visual space for finding specific image semantics |
Journal of Visual Communication and Image Representation & 1047-3203 |
Vol. 38, p704-720, 2016 |
SCIE |
ix |
A semantics and image retrieval system for hierarchical image databases |
Information Processing & Management & 0306-4573 |
Vol. 52 Issue 4, p571-591, 2016 |
SCIE |
x |
An effective use of adaptive combination of visual features to retrieve image semantics from a hierarchical image database |
Journal of Visual Communication and Image Representation & 1047-3203 |
Vol. 30, p136-152, July 2015 |
SCIE |
|
Title of Paper |
Detail of Conference |
Volume, Page Number & Year |
i. |
An Efficient Hybrid Approach for Brain Tumor Detection in MR Images using Hadoop-MapReduce |
Int’l Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), Rhodes, Greece, 2 Nov – 6 Nov 2020 |
pp.926-931, 2020 |
ii. |
Hybrid Approaches for Brain Tumor Detection in MR Images |
ICACDS 2019 Advances in Computing and Data Sciences. Communications in Computer and Information Science. |
Vol. 1045, pp 264-274, 2019 |
iii. |
Interactive Systems for Fashion Clothing Recommendation |
IEMGraph 2018 Emerging Technology in Modelling and Graphics. Advances in Intelligent Systems and Computing, Springer, Singapore. |
Vol. 937, pp.287-294, 2020 |
iv. |
An adaptive quad tree based transform domain steganography for textual data |
International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS 2017), Chennai, India. |
pp.3194-3199, 01 Aug – 02 Aug 2017 |
v. |
Modified Eigen Vectors Arrangement for Better Representation of Images in Low Dimension |
11th International Multi-Conference on Information Processing (IMCIP 2015), Procedia Computer Science |
Vol. 54, pp.683-689, 2015 |
vi. |
A hierarchical clustering approach for image datasets
|
IEEE 9th International Conference on Industrial and Information Systems (ICIIS 2014) |
pp.1-6, 2014 |
vii. |
Finding image semantics from a hierarchical image database based on adaptively combined visual features
|
Database and Expert Systems Applications. DEXA 2013. Lecture Notes in Computer Science, Springer, Berlin, Heidelberg. |
Vol. 8055, pp.103-117, 2013 |