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M. Swapna
Observed names:
Dr. Medikonda Swapna,
M Swapna,
Medikonda Swapna
Institutions:
Presidency University,
Nitte Meenakshi Institute of Technology
Observed institutions:
Shri Jagdishprasad Jhabarmal Tibrewala University,
Presidency University,
Nitte Meenakshi Institute of Technology
ORCID:
0000-0001-8867-9983
Observed ORCID:
0000-0001-8867-9983
OpenAlex ID:
A5013089909
CNN Architectures: Alex Net, Le Net, VGG, Google Net, Res Net
2020
·
M. Swapna
, Dr.Yogesh Kumar Sharma
, et al.
·
International Journal of Recent Technology and Engineering (IJRTE)
·
64
RETRACTED CHAPTER: A Survey on Face Recognition Using Convolutional Neural Network
2020
·
M. Swapna
, Yogesh Kumar Sharma
, et al.
·
Advances in intelligent systems and computing
·
24
Exploring Deep Learning Techniques for Data Augmentation in Medical Image Datasets: A Survey
2025
·
Vangapally Raju
, Udaya Kumar Addanki
, et al.
·
International Conference on Intelligent Technologies (CONIT)
·
1
An Efficient Framework For Identifying Malicious Profiles In Social Networks
2025
·
Rahul Pawar
, Soumya Mishra
, et al.
·
International Conference on Metaverse and Current Trends in Computing (ICMCTC)
·
1
An Efficient and Privacy Preserved Session Sharing for Unmanned Aerial Vehicle Communication Using Lattice Based Ring Signature Scheme
2025
·
Hemalatha S
, Sugirtha Thayalan
, et al.
·
Journal of Machine and Computing
PDF
Comparing Deep Learning (CNN) Features with Hybrid Models (HOG_CNN, LBP_CNN) for Classification of Leafs
2025
·
Y.Sowjanya Kumari
, R. Radha Kumari
, et al.
·
International Conference on Computational, Communication and Information Technology (ICCCIT)
A Comprehensive Review on Integrating Image Classification and Deep Learning for Theft Prevention through Emotion Detection
2024
·
Tamilselvan
, Dr. Medikonda Swapna
·
International Journal for Research in Applied Science and Engineering Technology
PDF
Diametrical User Control to Filter the Unwanted Messages from Online Social Networks
2014
·
M Swapna
, P Rajarajeswari
, et al.
·
International Journal of Computer Applications
PDF
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Works count:
8
Citation count:
90
H-index:
2
I10-index:
2
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