Zobrazeno 1 - 10
of 729
pro vyhledávání: '"Umapada, Pal"'
Autor:
S. B. Mallikarjuna, Palaiahnakote Shivakumara, Vijeta Khare, M. Basavanna, Umapada Pal, B. Poornima
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 7, Iss 2, Pp 156-166 (2022)
Abstract Arecanut disease identification is a challenging problem in the field of image processing. In this work, we present a new combination of multi‐gradient‐direction and deep convolutional neural networks for arecanut disease identification,
Externí odkaz:
https://doaj.org/article/646253ac5b5b471fbe2caa0e76ccc351
Publikováno v:
Catalysis Communications, Vol 172, Iss , Pp 106534- (2022)
Biodiesel was produced from waste frying oil (WFO) using waste calcareous-onyx as catalyst. The free fatty acids (FFAs) present in WFO were first esterified with methanol using calcareous-onyx powder calcined at 700 °C (Onyx-700), and the triglyceri
Externí odkaz:
https://doaj.org/article/adb8da66a4f045f2a42371dcb27fc9ce
Autor:
Abhra Chaudhuri, Palaiahnakote Shivakumara, Pinaki Nath Chowdhury, Umapada Pal, Tong Lu, Daniel Lopresti, G. Hemantha Kumar
Publikováno v:
SN Applied Sciences, Vol 3, Iss 11, Pp 1-24 (2021)
Abstract For the video images with complex actions, achieving accurate text detection and recognition results is very challenging. This paper presents a hybrid model for classification of action-oriented video images which reduces the complexity of t
Externí odkaz:
https://doaj.org/article/777b2bc391864484b71a92ebff9e2b25
Autor:
Hamam Mokayed, Palaiahnakote Shivakumara, Rajkumar Saini, Marcus Liwicki, Loo Chee Hin, Umapada Pal
Publikováno v:
IEEE Access, Vol 9, Pp 129102-129109 (2021)
This paper proposes a simple yet effective method for anomaly detection in natural scene images improving natural scene text detection and recognition. In the last decade, there has been significant progress towards text detection and recognition in
Externí odkaz:
https://doaj.org/article/43d8aac23e554834baabd2b2af577826
Publikováno v:
ACS Omega, Vol 5, Iss 7, Pp 3699-3708 (2020)
Externí odkaz:
https://doaj.org/article/b14f1fb87d3a479f8284aa771b4cd4d4
Publikováno v:
Pattern Recognition Letters. 171:45-52
Autor:
Jose-Luis Ortiz-Quiñonez, Umapada Pal
Publikováno v:
ACS Omega, Vol 4, Iss 6, Pp 10129-10139 (2019)
Externí odkaz:
https://doaj.org/article/3c06d994ec524c1899487b65e3409d61
Autor:
Grisel Corro, Juan Angel Flores, Francisco Pacheco-Aguirre, Umapada Pal, Fortino Bañuelos, Rosalía Torralba, Octavio Olivares-Xometl
Publikováno v:
ACS Omega, Vol 4, Iss 3, Pp 5795-5804 (2019)
Externí odkaz:
https://doaj.org/article/6305950378ee469fb48ed5e9d804064f
Autor:
Matej Vitek, Abhijit Das, Diego Rafael Lucio, Luiz Antonio Zanlorensi, David Menotti, Jalil Nourmohammadi Khiarak, Mohsen Akbari Shahpar, Meysam Asgari-Chenaghlu, Farhang Jaryani, Juan E. Tapia, Andres Valenzuela, Caiyong Wang, Yunlong Wang, Zhaofeng He, Zhenan Sun, Fadi Boutros, Naser Damer, Jonas Henry Grebe, Arjan Kuijper, Kiran Raja, Gourav Gupta, Georgios Zampoukis, Lazaros Tsochatzidis, Ioannis Pratikakis, S. V. Aruna Kumar, B. S. Harish, Umapada Pal, Peter Peer, Vitomir Struc
Publikováno v:
IEEE Transactions on Information Forensics and Security. 18:190-205
Bias and fairness of biometric algorithms have been key topics of research in recent years, mainly due to the societal, legal and ethical implications of potentially unfair decisions made by automated decision-making models. A considerable amount of