118 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Karolinska InstitutetSE3 papers
- All India Institute of Medical Sciences, NagpurIN1 paper
- Central Leprosy Teaching & Research InstituteIN1 paper
- GSI Helmholtz Centre for Heavy Ion ResearchDE1 paper
- Institute of Physics, BhubaneshwarIN1 paper
- Old Dominion UniversityUS1 paper
- Sri Sathya Sai Institute of Higher Medical SciencesIN1 paper
21 papers
EXACFS -- A CIL Method to mitigate Catastrophic Forgetting
S Balasubramanian, M Sai Subramaniam, Sai Sriram Talasu +4
Deep neural networks (DNNS) excel at learning from static datasets but struggle with continual learning, where data arrives sequentially. Catastrophic forgetting, the phenomenon of…
FLoW3 -- Web3 Empowered Federated Learning
Venkata Raghava Kurada, Pallava Kumar Baruah
Federated Learning is susceptible to various kinds of attacks like Data Poisoning, Model Poisoning and Man in the Middle attack. We perceive Federated Learning as a hierarchical st…
Stochastic Time-Optimal Control Studies for Additional Food provided Prey-Predator Systems involving Holling Type-IV Functional Response
D Bhanu Prakash, D K K Vamsi
We consider an additional food provided prey-predator model exhibiting Holling type IV functional response with combined continuous white noise and discontinuous Lévy noise. We pro…
AMC 12 atomic mass compilation data extrapolated for atomic masses of nuclei far from the valley of stability
K. Venkataramaniah, Shreesha Rao D. S., C. Scheidenberger
The experimental mass data from the Atomic Mass Compilation - 2012 (AMC12) has been analyzed for two-neutron separation energies (S), two-proton separation energies (S$_{2p}…
Stochastic Optimal and Time-Optimal Control Studies for Additional Food provided prey-predator Systems involving Holling Type-III Functional Response
D. Bhanu Prakash, D. K. K. Vamsi
This paper consists of a detailed and novel stochastic optimal control analysis of a coupled non-linear dynamical system. The state equations are modeled as additional food provide…
Quantum theory, thermal gradients and the curved Euclidean space
S. Ganesh
The Euclidean space, obtained by the analytical continuation of time, to an imaginary time, is used to model thermal systems. In this work, it is taken a step further to systems wi…
Affect Expression Behaviour Analysis in the Wild using Consensual Collaborative Training
Darshan Gera, S Balasubramanian
Facial expression recognition (FER) in the wild is crucial for building reliable human-computer interactive systems. However, annotations of large scale datasets in FER has been a…
Consensual Collaborative Training And Knowledge Distillation Based Facial Expression Recognition Under Noisy Annotations
Darshan Gera, S. Balasubramanian
Presence of noise in the labels of large scale facial expression datasets has been a key challenge towards Facial Expression Recognition (FER) in the wild. During early learning st…
Nonlinear Evolutionary PDE-Based Refinement of Optical Flow
Hirak Doshi, N. Uday Kiran
The goal of this paper is to propose two nonlinear variational models for obtaining a refined motion estimation from an image sequence. Both the proposed models can be considered a…
Implementation of Correlation and Regression Models for Health Insurance Fraud in Covid-19 Environment using Actuarial and Data Science Techniques
Rohan Yashraj Gupta, Satya Sai Mudigonda, Pallav Kumar Baruah +1
Fraud acts as a major deterrent to a companys growth if uncontrolled. It challenges the fundamental value of Trust in the Insurance business. COVID-19 brought additional challenges…
The Impact of Temperature and Isolation on COVID-19 in India: A Mathematical Modelling approach
D Bhanu Prakash, Bishal Chhetri, D K K Vamsi +2
The dynamics of COVID-19 in India are captured using a set of delay differential equations by dividing a constant population into six compartments. The equilibrium points are calcu…
A Framework for Fluid Motion Estimation using a Constraint-Based Refinement Approach
Hirak Doshi, N. Uday Kiran
Physics-based optical flow models have been successful in capturing the deformities in fluid motion arising from digital imagery. However, a common theoretical framework analyzing…
Learning Compositional Structures for Deep Learning: Why Routing-by-agreement is Necessary
Sai Raam Venkatraman, Ankit Anand, S. Balasubramanian +1
A formal description of the compositionality of neural networks is associated directly with the formal grammar-structure of the objects it seeks to represent. This formal grammar-s…
Control Intervention Strategies for Within-Host, Between-Host and their Efficacy in the Treatment, Spread of COVID-19 : A Multi Scale Modeling Approach
Bhanu Prakash D, D. K. K. Vamsi, D. Bangaru Rajesh +1
The COVID-19 pandemic has resulted in more than 14.5 million infections and 6,04,917 deaths in 212 countries over the last few months. Different drug intervention acting at multipl…
Optimal Drug Regimen and Combined Drug Therapy and its Efficacy in the Treatment of COVID-19 : An Within-Host Modeling Study
Bishal Chhetri, Vijay M. Bhagat, D. K. K. Vamsi +5
The COVID-19 pandemic has resulted in more than 30.35 million infections and 9, 50, 625 deaths in 212 countries over the last few months. Different drug intervention acting at mult…
Landmark Guidance Independent Spatio-channel Attention and Complementary Context Information based Facial Expression Recognition
Darshan Gera, S Balasubramanian
A recent trend to recognize facial expressions in the real-world scenario is to deploy attention based convolutional neural networks (CNNs) locally to signify the importance of fac…
Building Deep, Equivariant Capsule Networks
Sairaam Venkatraman, S. Balasubramanian, R. Raghunatha Sarma
Capsule networks are constrained by the parameter-expensive nature of their layers, and the general lack of provable equivariance guarantees. We present a variation of capsule netw…
A Heuristic Algorithm for Network Optimization of OTN over DWDM Network
Govardan C., Sri Krishna Chaitanya K., Krishna Kumar Naik B. +6
While the network traffic has seen exponential increase, the revenues have not maintained the same pace. New methods have to be explored to reduce this gap between traffic and reve…
Novel Framework for Spectral Clustering using Topological Node Features(TNF)
Lalith Srikanth Chintalapati, Raghunatha Sarma Rachakonda
Spectral clustering has gained importance in recent years due to its ability to cluster complex data as it requires only pairwise similarity among data points with its ease of impl…
Modified Newton's rings: II
T. Sai Chaitanya, Rajiv kumar, V. Sai Krishna +2
In an earlier work (Shankar kumar Jha, A Vyas, O S K S Sastri, Rajkumar Jain & K S Umesh, 'Determination of wavelength of laser light using Modified Newton's rings setup', Physics…
Effect of magnetic flux and of electron momentum on the transmission amplitude in the Aharonov-Bohm ring
M. V. Amaresh Kumar, Debendranath Sahoo
A characterization of the two-terminal open-ring Aharonov-Bohm interferometer is made by analyzing the phase space plots in the complex transmission amplitude plane. Two types of p…