44 citations · 53 across the 6 of their papers we have counts for
6 papers
Pneumonia Detection in Chest X-Rays using Neural Networks
Narayana Darapaneni, Ashish Ranjan, Dany Bright +4
With the advancement in AI, deep learning techniques are widely used to design robust classification models in several areas such as medical diagnosis tasks in which it achieves go…
λ-Scaled-Attention: A Novel Fast Attention Mechanism for Efficient Modeling of Protein Sequences
Ashish Ranjan, Md Shah Fahad, Akshay Deepak
Attention-based deep networks have been successfully applied on textual data in the field of NLP. However, their application on protein sequences poses additional challenges due to…
Using a Bi-directional LSTM Model with Attention Mechanism trained on MIDI Data for Generating Unique Music
Ashish Ranjan, Varun Nagesh Jolly Behera, Motahar Reza
Generating music is an interesting and challenging problem in the field of machine learning. Mimicking human creativity has been popular in recent years, especially in the field of…
A Parallel Approach for Real-Time Face Recognition from a Large Database
Ashish Ranjan, Varun Nagesh Jolly Behera, Motahar Reza
We present a new facial recognition system, capable of identifying a person, provided their likeness has been previously stored in the system, in real time. The system is based on…
Graph based Clustering Algorithm for Social Community Transmission Prediction of COVID-19
Varun Nagesh Jolly Behera, Ashish Ranjan, Motahar Reza
A system to model the spread of COVID-19 cases after lockdown has been proposed, to define new preventive measures based on hotspots, using the graph clustering algorithm. This met…
Deep Robust Framework for Protein Function Prediction using Variable-Length Protein Sequences
Ashish Ranjan, Md Shah Fahad, David Fernandez-Baca +2
Amino acid sequence portrays most intrinsic form of a protein and expresses primary structure of protein. The order of amino acids in a sequence enables a protein to acquire a part…