Ninan Sajeeth Philip
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View article: Detecting Algorithmically Generated Domains Using Entropy and Lexical Features
Detecting Algorithmically Generated Domains Using Entropy and Lexical Features Open
View article: Computational Astrophysics, Data Science & AI/ML in Astronomy: A Perspective from Indian Community
Computational Astrophysics, Data Science & AI/ML in Astronomy: A Perspective from Indian Community Open
In contemporary astronomy and astrophysics (A&A), the integration of high-performance computing (HPC), big data analytics, and artificial intelligence/machine learning (AI/ML) has become essential for advancing research across a wide range…
View article: Modelling of Risk Process With Expense‐Augmented Loss Under Economic Factors and Its Application to Aggregated General Insurance Data in Kenya
Modelling of Risk Process With Expense‐Augmented Loss Under Economic Factors and Its Application to Aggregated General Insurance Data in Kenya Open
In this paper, we reformulate the classical risk model to consider economic factors such as taxation and real force of interest. In the model, the premiums are assumed to be compounded by increasing annuities over some time. The loss proce…
View article: Automated Detection of Galactic Rings from Sloan Digital Sky Survey Images
Automated Detection of Galactic Rings from Sloan Digital Sky Survey Images Open
Morphological features in galaxies—like spiral arms, bars, rings, and tidal tails, etc.—carry information about their structure, origin, and evolution. It is therefore important to catalog and study such features and to correlate them with…
View article: Data and Software for Automated Detection of Galactic Rings from SDSS Images
Data and Software for Automated Detection of Galactic Rings from SDSS Images Open
This repository contains the code used for training a deep learning model for classifying SDSS galaxy image cutouts into Ringed or Non-Ringed classes.It also contains the data products associated with the paper.
View article: Morphometric Description of the Final Instar Nymphs and Exuviae of Odonata: Tramea limbata Des.
Morphometric Description of the Final Instar Nymphs and Exuviae of Odonata: Tramea limbata Des. Open
Tramea limbata, commonly known as the Black marsh trotter, is a dragonfly species belonging to the genus Tramea in the family Libellulidae. It has a cosmopolitan distribution found in various regions, including the peninsular region of Ind…
View article: Deep Learning Based Filtering Algorithm for Noise Removal in Underwater Images
Deep Learning Based Filtering Algorithm for Noise Removal in Underwater Images Open
Under-water sensing and image processing play major roles in oceanic scientific studies. One of the related challenges is that the absorption and scattering of light in underwater settings degrades the quality of the imaging. The major dra…
View article: CASSPER is a semantic segmentation-based particle picking algorithm for single-particle cryo-electron microscopy
CASSPER is a semantic segmentation-based particle picking algorithm for single-particle cryo-electron microscopy Open
Particle identification and selection, which is a prerequisite for high-resolution structure determination of biological macromolecules via single-particle cryo-electron microscopy poses a major bottleneck for automating the steps of struc…
View article: airis4d/CASSPER: CASSPER -Version 2.0
airis4d/CASSPER: CASSPER -Version 2.0 Open
This is a complete rewrite of the previous development version of CASSPER for academic and reseaarch audiance. The installation and usage procedures are simplified. The toolkit may be run as a Python module and the required packages are in…
View article: CASSPER: A Semantic Segmentation based Particle Picking Algorithm for Single Particle Cryo-Electron Microscopy
CASSPER: A Semantic Segmentation based Particle Picking Algorithm for Single Particle Cryo-Electron Microscopy Open
Single-particle cryo-electron microscopy has emerged as the method of choice for structure determination of proteins and protein complexes. However, particle identification and selection which is a prerequisite for achieving high-resolutio…
View article: Correlation between relativistic reflection fraction and photon index in <i>NuSTAR</i> sample of Seyfert 1 AGN
Correlation between relativistic reflection fraction and photon index in <i>NuSTAR</i> sample of Seyfert 1 AGN Open
The primary X-ray emission from active galactic nuclei (AGNs), described by a power-law, irradiates the accretion disc producing reflection features in the spectrum. The reflection features arising from the inner regions of the disc can be…
View article: Detection of bars in galaxies using a deep convolutional neural network
Detection of bars in galaxies using a deep convolutional neural network Open
We present an automated method for the detection of bar structure in optical\nimages of galaxies using a deep convolutional neural network which is easy to\nuse and provides good accuracy. In our study we use a sample of 9346 galaxies\nin …
View article: Determining the torus covering factors for a sample of type 1 AGN in the local Universe
Determining the torus covering factors for a sample of type 1 AGN in the local Universe Open
In the unified scheme of active galactic nuclei, a dusty torus absorbs and then reprocesses a fraction of the intrinsic luminosity which is emitted at longer wavelengths. Thus, subject to radiative transfer corrections, the fraction of the…
View article: Transient classification in LIGO data using difference boosting neural network
Transient classification in LIGO data using difference boosting neural network Open
Detection and classification of transients in data from gravitational wave\ndetectors are crucial for efficient searches for true astrophysical events and\nidentification of noise sources. We present a hybrid method for classification\nof …
View article: UV and X-ray variability of the narrow-line Seyfert 1 galaxy Ark 564
UV and X-ray variability of the narrow-line Seyfert 1 galaxy Ark 564 Open
We analyse eight XMM-Newton observations of the bright Narrow-Line Seyfert 1\ngalaxy Arakelian 564 (Ark 564). These observations, separated by ~6 days, allow\nus to look for correlations between the simultaneous UV emission (from the\nOpti…
View article: EPISODIC HIGH-VELOCITY OUTFLOWS FROM V899 Mon: A CONSTRAINT ON THE OUTFLOW MECHANISMS*
EPISODIC HIGH-VELOCITY OUTFLOWS FROM V899 Mon: A CONSTRAINT ON THE OUTFLOW MECHANISMS* Open
We report the detection of large variations in the outflow wind velocity from a young eruptive star, V899 Mon, during its ongoing high accretion outburst phase. Such large variations in the outflow velocity (from −722 to −425 km s −1 ) hav…