Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Sreerupa Das"'
Publikováno v:
Annual Conference of the PHM Society. 11
Convolutional Neural Networks (CNNs) have become the recent tool of choice for many visual detection tasks, including object classification, localization, detection, and segmentation. CNNs are specialized neural networks composed of many layers and s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efce7d046cf0f748fed3143b11fc2fd6
https://doi.org/10.36001/phmconf.2019.v11i1.868
https://doi.org/10.36001/phmconf.2019.v11i1.868
Publikováno v:
2019 IEEE AUTOTESTCON.
Relative to widely utilized data analytic techniques, adaptive predictive modeling of supply chain material through automated data testing and trending techniques provide an alternate approach that is less costly, more time efficient, and of greater
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fe4e04aa6a0125fdf4f2348bc4f5afc
https://doi.org/10.1109/autotestcon43700.2019.8961039
https://doi.org/10.1109/autotestcon43700.2019.8961039
Publikováno v:
Journal of Quantitative Linguistics. 22:157-176
Words in a language are related to each other. This relation is based on their conceptual properties. (This paper avoids using the term “semantic property”, generally used by the contemporary NLP workers for measuring distance between words, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b469bc215387395cd4d5eb4e67f135e2
https://doi.org/10.1080/09296174.2014.1001638
https://doi.org/10.1080/09296174.2014.1001638
Autor:
Niharika G. Maity, Sreerupa Das
Publikováno v:
2017 IEEE Aerospace Conference.
Machine learning has gained tremendous interest in the last decade fueled by cheaper computing power and inexpensive memory — making it efficient to store, process and analyze growing volumes of data. Enhanced algorithms are being designed and appl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12ab0436d7796dded5de37f487e80e0a
https://doi.org/10.1109/aero.2017.7943950
https://doi.org/10.1109/aero.2017.7943950
Autor:
Sreerupa Das
Publikováno v:
2015 IEEE Aerospace Conference.
Prognostics and Health Management (PHM) systems are becoming increasingly important for monitoring and maintaining high value assets. In order to enable real time onboard diagnostic and prognostic capabilities, mechanisms for reading, manipulating an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7d8445dd064ae79fd1e3da320aef2a1
https://doi.org/10.1109/aero.2015.7118976
https://doi.org/10.1109/aero.2015.7118976
Autor:
Sreerupa Das, Rajkumar Roychoudhury
Publikováno v:
Journal of Quantitative Linguistics. 13:17-34
This paper deals with an interesting problem in computational linguistics namely “readability of texts”. A piece of text appears to be easy or difficult depending on certain parameters involved within the text pattern. Based on these parameters,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea9f6afaffa7863ad39c212e334fb424
https://doi.org/10.1080/09296170500500843
https://doi.org/10.1080/09296170500500843
Autor:
Sreerupa Das, Michael C. Mozer
Publikováno v:
Neural Networks. 11:53-64
Although recurrent neural nets have been moderately successful in learning to emulate finite-state machines (FSMs), the continuous internal state dynamics of a neural net are not well matched to the discrete behavior of an FSM. We describe an archite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76a3eccf49e16a99edb316a15b72c064
https://doi.org/10.1016/s0893-6080(97)00113-5
https://doi.org/10.1016/s0893-6080(97)00113-5
Publikováno v:
2012 IEEE Conference on Prognostics and Health Management.
This paper describes a comprehensive, open and extensible architecture for a Ground Vehicle Health and Usage Monitoring System (GV-HUMS) that enables both Condition Based Maintenance (CBM) and Prognostics and Health Management (PHM) in vehicles. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15394fb77251f416ba02414fe1a2bf8e
https://doi.org/10.1109/icphm.2012.6299529
https://doi.org/10.1109/icphm.2012.6299529
Publikováno v:
2012 IEEE Aerospace Conference.
A mechanism for Automated Scheduler in maintenance management is explored in this paper where the duration of the maintenance tasks are not predefined, rather generated dynamically. An adaptive learning system is employed to determine the duration of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c57be92b2ded06f53327765f1a2749d1
https://doi.org/10.1109/aero.2012.6187378
https://doi.org/10.1109/aero.2012.6187378
Autor:
Gregory A. Harrison, Sreerupa Das, Stefan Herzog, Michael A. Bodkin, Lockheed Martin, Richard Hall
Publikováno v:
2011 IEEE Conference on Prognostics and Health Management.
Prognostic health management (PHM) systems are designed to predict impending faults and to determine remaining useful life of machinery. An efficient prognostic system can speed up fault diagnosis by providing an indication of what parts of the machi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2757402559bf34f804884278a3bec67f
https://doi.org/10.1109/icphm.2011.6024332
https://doi.org/10.1109/icphm.2011.6024332