Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Mudit Agrawal"'
Autor:
Suresh Kumar Verma, Mudit Agrawal, Vishnu Goyal, Pramod Sharma, Monika Chaudhary, Sawai Singh, Kapil Raheja, Sunita Goyal
Publikováno v:
Indian Journal of Neonatal Medicine and Research, Vol 5, Iss 4, Pp PO11-PO15 (2017)
Introduction: Neonatal sepsis is the most common cause of death in newborns in developing countries. Prompt diagnosis is the critical determinant in its outcome. As manifestations are often vague, clinically it is difficult to differentiate sepsis fr
Externí odkaz:
https://doaj.org/article/4d186662788d42cda5cd7af40c86e2af
Autor:
Mudit Agrawal
Publikováno v:
AIAA Scitech 2021 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5834accca3e346c41f9c17a49f050922
https://doi.org/10.2514/6.2021-2039
https://doi.org/10.2514/6.2021-2039
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789813297746
The communication network of any industry plays very crucial role in its efficient operations and hence there is an increasing demand for building a dedicated wireless network which should be used within the industry by various entities. In this work
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af5aec814af84124065eb8cedf5c79e9
https://doi.org/10.1007/978-981-32-9775-3_17
https://doi.org/10.1007/978-981-32-9775-3_17
Autor:
Mudit Agrawal, Ajita Rattani
Publikováno v:
Selfie Biometrics ISBN: 9783030269715
Selfie Biometrics
Selfie Biometrics
The aim of this chapter is to discuss the soft-biometric attributes that can be extracted from selfie images acquired from mobile devices. Existing literature suggests that various features in demographics, such as gender and age, in physical, such a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ce5bdbe0cf6bd03b8e363d0975560ff
https://doi.org/10.1007/978-3-030-26972-2_10
https://doi.org/10.1007/978-3-030-26972-2_10
Publikováno v:
International Journal of Forensic Engineering and Management. 1:1
Advances in virtual reality (VR) open possibilities for novel three-dimensional (3D) graphical user interfaces (GUIs) to emerge for complex tasks and information visualisation. However, three dimen...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b753d7fec5558aee7749f1ad515e318b
https://doi.org/10.1504/ijfem.2019.10028957
https://doi.org/10.1504/ijfem.2019.10028957
Autor:
David Doermann, Mudit Agrawal
Publikováno v:
ICDAR
This paper presents a two-phased stroke-like pattern noise (SPN) removal algorithm for binary document images. The proposed approach aims at understanding script-independent prominent text component features using supervised classification as a first
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7d842950965cbf75270f9c86e8c7bb9
https://doi.org/10.1109/icdar.2011.13
https://doi.org/10.1109/icdar.2011.13
Publikováno v:
ICFHR
This paper presents a context aware, online immediate-mode diagramming recognition and beautification software for hand-sketched diagrams. The system is independent of stroke-order, -number, -direction and is invariant to scaling, translation and rot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::254513a52487d059498c34e3317dadee
https://doi.org/10.1109/icfhr.2010.124
https://doi.org/10.1109/icfhr.2010.124
Publikováno v:
ICPR
This paper describes a set of Performance Evaluation Tools (PETS) for document image zone segmentation and classification. The tools allow researchers and developers to evaluate, optimize and compare their algorithms by providing a variety of quantit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbdb7ab9945bbf60b0b73d6bbf0aa933
https://doi.org/10.1109/icpr.2010.1123
https://doi.org/10.1109/icpr.2010.1123
Autor:
David Doermann, Mudit Agrawal
Publikováno v:
Document Analysis Systems
This paper presents a dynamic approach to document page segmentation based on inter-component relationships, local patterns and context features. State-of-the art page segmentation algorithms segment zones based on local properties of neighboring con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::805cd8b28d4124144f4fffc96ed769ba
https://doi.org/10.1145/1815330.1815340
https://doi.org/10.1145/1815330.1815340
Autor:
Mudit Agrawal, David Doermann
Publikováno v:
ICDAR
This paper presents a dynamic approach to document page segmentation. Current page segmentation algorithms lack the ability to dynamically adapt local variations in the size, orientation and distance of components within a page. Our approach builds u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c68d05d8dcd9979c779e20c5e8c60940
https://doi.org/10.1109/icdar.2009.270
https://doi.org/10.1109/icdar.2009.270