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pro vyhledávání: '"Philip Ninan"'
Autor:
Philip Ninan Sajeeth
Publikováno v:
Paladyn, Vol 1, Iss 3, Pp 160-168 (2010)
A learning algorithm based on primary school teaching and learning is presented. The methodology is to continuously evaluate the performance of the network and to train it on the examples for which they repeatedly fail, until all the examples are cor
Externí odkaz:
https://doaj.org/article/629e32ee33484b94903a2de0242b6705
The primary X-ray emission from AGN, 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 significantly modified by the relati
Externí odkaz:
http://arxiv.org/abs/2005.03307
Autor:
Mukund, Nikhil, Thakur, Saurabh, Abraham, Sheelu, Aniyan, A. K., Mitra, Sanjit, Philip, Ninan Sajeeth, Vaghmare, Kaustubh, Acharjya, D. P.
We present a machine learning based information retrieval system for astronomical observatories that tries to address user defined queries related to an instrument. In the modern instrumentation scenario where heterogeneous systems and talents are si
Externí odkaz:
http://arxiv.org/abs/1710.05350
Akademický článek
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Autor:
Willington, Neethu Theresa, Varghese, Anu, Saritha, A.C., Sajeeth Philip, Ninan, Venugopal, Chandu
Publikováno v:
In Advances in Space Research 15 November 2021 68(10):4292-4302
Autor:
Ezhikode, Savithri H., Gandhi, Poshak, Done, Chris, Ward, Martin, Dewangan, Gulab C., Misra, Ranjeev, Philip, Ninan Sajeeth
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 sky covere
Externí odkaz:
http://arxiv.org/abs/1610.00429
Publikováno v:
Phys. Rev. D 95, 104059 (2017)
Detection and classification of transients in data from gravitational wave detectors are crucial for efficient searches for true astrophysical events and identification of noise sources. We present a hybrid method for classification of short duration
Externí odkaz:
http://arxiv.org/abs/1609.07259
Autor:
Ezhikode, Savithri H., Dewangan, Gulab C., Misra, Ranjeev, Tripathi, Shruti, Philip, Ninan Sajeeth, Kembhavi, Ajit K.
We analyse eight XMM-Newton observations of the bright Narrow-Line Seyfert 1 galaxy Arakelian 564 (Ark 564). These observations, separated by ~6 days, allow us to look for correlations between the simultaneous UV emission (from the Optical Monitor) w
Externí odkaz:
http://arxiv.org/abs/1603.02404
Publikováno v:
International Journal of Tropical Insect Science; Aug2024, Vol. 44 Issue 4, p1971-1980, 10p
Autor:
A, Arun Kumar, Philip, Ninan Sajeeth, Samar, Vincent J, Desjardins, James A, Segalowitz, Sidney J
Event Related Potentials (ERPs) are very feeble alterations in the ongoing Electroencephalogram (EEG) and their detection is a challenging problem. Based on the unique time-based parameters derived from wavelet coefficients and the asymmetry property
Externí odkaz:
http://arxiv.org/abs/1407.2227