5k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Birla Institute of Technology and Science, PilaniIN126 papers
- Homi Bhabha National InstituteIN13 papers
- Saha Institute of Nuclear PhysicsIN11 papers
- GLA UniversityIN10 papers
- Centre National de la Recherche ScientifiqueFR8 papers
- University of CoimbraPT8 papers
- Charotar University of Science and TechnologyIN7 papers
- Indian Institute of Science BangaloreIN7 papers
- Indian Institute of Science Education and Research KolkataIN7 papers
- Indian Institute of AstrophysicsIN5 papers
- Massachusetts Institute of TechnologyUS5 papers
- Microsoft Research (India)IN5 papers
27 papers · 1 filter
Cosmological dynamics of f(R) models in dynamical system analysis
Parth Shah, Gauranga C. Samanta
In this work we try to understand the late time acceleration of the universe by assuming some modification in the geometry of the space and using dynamical system analysis. This te…
Age and Gender Prediction using Deep CNNs and Transfer Learning
Vikas Sheoran, Shreyansh Joshi, Tanisha R. Bhayani
The last decade or two has witnessed a boom of images. With the increasing ubiquity of cameras and with the advent of selfies, the number of facial images available in the world ha…
Privacy-Preserving Mutual Authentication and Key Agreement Scheme for Multi-Server Healthcare System
Trupil Limbasiya, Sanjay K. Sahay, Bharath Sridharan
The usage of different technologies and smart devices helps people to get medical services remotely for multiple benefits. Thus, critical and sensitive data is exchanged between a…
Bayesian reconstruction of nuclear matter parameters from the equation of state of neutron star matter
Sk Md Adil Imam, N. K. Patra, C. Mondal +2
The nuclear matter parameters (NMPs), those underlie in the construction of the equation of state (EoS) of neutron star matter, are not directly accessible. The Bayesian approach i…
Singularity resolution in gravitational collapse
Karim Mosani, Dipanjan Dey, Kaushik Bhattacharya +1
We investigate the unhindered gravitational collapse of a homogeneous scalar field with nonzero potential, a two-dimensional analog of the Mexican hat-shaped Higgs field potential.…
EFT analysis of leptophilic dark matter at future electron-positron colliders in the mono-photon and mono- channels
Saumyen Kundu, Atanu Guha, Prasanta Kumar Das +1
We consider the possibility that dark matter (DM) only interacts with the Standard Model leptons, but not quarks at tree level, and analyze the future lepton collider prospects of…
LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
Long-Short-Term-Memory (LSTM) networks have shown great promise in artificial intelligence (AI) based language modeling. Recently, LSTM networks have also become popular for design…
DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
Supervised Deep Learning requires plenty of labeled data to converge, and hence perform optimally for task-specific learning. Therefore, we propose a novel mechanism named DRo (for…
Postulating Exoplanetary Habitability via a Novel Anomaly Detection Method
Jyotirmoy Sarkar, Kartik Bhatia, Snehanshu Saha +2
A profound shift in the study of cosmology came with the discovery of thousands of exoplanets and the possibility of the existence of billions of them in our Galaxy. The biggest go…
Entanglement Breaking Channels, Stochastic Matrices, and Primitivity
Jennifer Ahiable, David W. Kribs, Jeremy Levick +2
We consider the important class of quantum operations (completely positive trace-preserving maps) called entanglement breaking channels. We show how every such channel induces stoc…
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks
Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja +1
We present a survey of ways in which existing scientific knowledge are included when constructing models with neural networks. The inclusion of domain-knowledge is of special inter…
On the visibility of singularities in general relativity and modified gravity theories
Karim Mosani, Dipanjan Dey, Pankaj S. Joshi +3
We investigate the global causal structure of the end state of a spherically symmetric marginally bound Lemaitre-Tolman-Bondi (LTB) \cite{Lemaitre, Tolman, Bondi} collapsing cloud…
Foveal-pit inspired filtering of DVS spike response
Shriya T. P. Gupta, Pablo Linares-Serrano, Basabdatta Sen Bhattacharya +1
In this paper, we present results of processing Dynamic Vision Sensor (DVS) recordings of visual patterns with a retinal model based on foveal-pit inspired Difference of Gaussian (…
Conformations and diffusion of flexibly linked colloidal chains
Ruben W. Verweij, Pepijn G. Moerman, Loes P. P. Huijnen +6
For biologically relevant macromolecules such as intrinsically disordered proteins, internal degrees of freedom that allow for shape changes have a large influence on both the moti…
Phase Entrainment by Periodic Stimuli In Silico: A Quantitative Study
Swapna Sasi, Basabdatta Sen Bhattacharya
We present a quantitative study of phase entrainment by periodic visual stimuli in a biologically inspired neural network. The objective is to understand the neuronal population dy…
Superpixel-based Knowledge Infusion in Deep Neural Networks for Image Classification
Gunjan Chhablani, Abheesht Sharma, Harshit Pandey +1
Superpixels are higher-order perceptual groups of pixels in an image, often carrying much more information than the raw pixels. There is an inherent relational structure to the rel…
An extension of Bravyi-Smolin's construction for UMEBs
Jeremy Levick, Mizanur Rahaman
We extend Bravyi and Smolin's construction for obtaining unextendible maximally entangled bases (UMEBs) from equiangular lines. We show that equiangular real projections of rank mo…
Causal Structure of Singularity in non-spherical Gravitational Collapse
Dipanjan Dey, Pankaj S. Joshi, Karim Mosani +1
We investigate here the final state of gravitational collapse of a non-spherical and non-marginally bound dust cloud as modeled by the Szekeres spacetime. We show that a directiona…
Incorporating Domain Knowledge into Deep Neural Networks
Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja +1
We present a survey of ways in which domain-knowledge has been included when constructing models with neural networks. The inclusion of domain-knowledge is of special interest not…
Globally visible singularity in an astrophysical setup
Karim Mosani, Dipanjan Dey, Pankaj S. Joshi
The global visibility of a singularity as an end state of the gravitational collapse of a spherically symmetric pressureless cloud is investigated. We show the existence of a non-z…
Triplet-Watershed for Hyperspectral Image Classification
Aditya Challa, Sravan Danda, B. S. Daya Sagar +1
Hyperspectral images (HSI) consist of rich spatial and spectral information, which can potentially be used for several applications. However, noise, band correlations and high dime…
Identification of Significant Permissions for Efficient Android Malware Detection
Hemant Rathore, Sanjay K. Sahay, Ritvik Rajvanshi +1
Since Google unveiled Android OS for smartphones, malware are thriving with 3Vs, i.e. volume, velocity, and variety. A recent report indicates that one out of every five business/i…
Detection of Malicious Android Applications: Classical Machine Learning vs. Deep Neural Network Integrated with Clustering
Hemant Rathore, Sanjay K. Sahay, Shivin Thukral +1
Today anti-malware community is facing challenges due to the ever-increasing sophistication and volume of malware attacks developed by adversaries. Traditional malware detection me…
Unmasking the mask studies: why the effectiveness of surgical masks in preventing respiratory infections has been underestimated
Pratyush K. Kollepara, Alexander F. Siegenfeld, Nassim Nicholas Taleb +1
Face masks have been widely used as a protective measure against COVID-19. However, pre-pandemic empirical studies have produced mixed statistical results on the effectiveness of m…