Search Results for author: Ranjana Vyas

Found 4 papers, 1 papers with code

Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet

19 code implementations3 Oct 2017 Naimish Agarwal, Artus Krohn-Grimberghe, Ranjana Vyas

It involves predicting the co-ordinates of the FKPs, e. g. nose tip, center of eyes, etc, for a given face.

BIG-bench Machine Learning

Agricultural Plantation Classification using Transfer Learning Approach based on CNN

no code implementations19 Jun 2022 Uphar Singh, Tushar Musale, Ranjana Vyas, O. P. Vyas

Hyper-spectral images are images captured from a satellite that gives spatial and spectral information of specific region. A Hyper-spectral image contains much more number of channels as compared to a RGB image, hence containing more information about entities within the image.

Transfer Learning

Terrain Classification using Transfer Learning on Hyperspectral Images: A Comparative study

no code implementations19 Jun 2022 Uphar Singh, Kumar Saurabh, Neelaksh Trehan, Ranjana Vyas, O. P. Vyas

A Hyperspectral image contains much more number of channels as compared to a RGB image, hence containing more information about entities within the image.

Image Classification Transfer Learning

LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks

no code implementations23 Jun 2022 Kumar Saurabh, Saksham Sood, P. Aditya Kumar, Uphar Singh, Ranjana Vyas, O. P. Vyas, Rahamatullah Khondoker

In this paper, a Deep Learning enabled Long Short Term Memory (LSTM) Autoencoder and a 13-feature Deep Neural Network (DNN) models were developed which performed a lot better in terms of accuracy on UNSW-NB15 and Bot-IoT datsets.

Network Intrusion Detection

Cannot find the paper you are looking for? You can Submit a new open access paper.