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

Email

shreelekha.pandey@thapar.edu

Specialization

Image semantics retrieval, Computer vision, Image processing, Retrieval and indexing of image data, Data clustering and indexing, Data structures and Algorithms, Operating Systems

Email

shreelekha.pandey@thapar.edu

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

 

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