Zobrazeno 1 - 10 of 80 pro vyhledávání: '"SUNIL KR JHA"'
1
Akademický článek
Hybrid Machine Learning Approaches in Viability Assessment of Dental Pulp Stem Cells Treated with Platelet-Rich Concentrates on Different Periods
Autor: Priyadarshni BINDAL, Umesh BINDAL, Mahnaz KAZEMIPOOR, Maryam KAZEMIPOOR, Sunil Kr JHA
Publikováno v: Applied Medical Informatics, Vol 41, Iss 3 (2019)
The unique characteristics of dental pulp stem cells (DPSCs), like multi-lineage differentiation, have attracted considerable interest among clinicians and researchers for the treatment of various diseases. Platelet-derived concentrates (PRSs) are ut
Externí odkaz: https://doaj.org/article/9bcfbeec874b403c9cae532ccdb9e2f2
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2
Akademický článek
Enhancing the knowledge level of dog owners using an electronic self-learning module
Autor: RUPASI TIWARI, MUKESH KUMAR, B P SINGH, D E UJJWAL, SUNIL KR JHA, TRIVENI DUTT
Publikováno v: Indian Journal of Animal Sciences, Vol 86, Iss 11 (2016)
The present study was taken up to assess the knowledge about dog health and management among the pet owners and the effectiveness of a need based electronic self learning module “Dog Health Management Trainer” (DHMT) for enhancing their knowledge
Externí odkaz: https://doaj.org/article/01c681fd802f4443a6d624a9399eacd8
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4
SmsNet: A New Deep Convolutional Neural Network Model for Adversarial Example Detection
Autor: Xiangyang Luo, Yuhui Zheng, Jinwei Wang, Sunil Kr. Jha, Yun-Qing Shi, Qilin Yin, Junjie Zhao
Publikováno v: IEEE Transactions on Multimedia. 24:230-244
The emergence of adversarial examples has had a great impact on the development and application of deep learning. In this paper, a novel convolutional neural network model, the stochastic multifilter statistical network (SmsNet), is proposed for the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a6a9839c49e654b253ade27d6b3ade9d
https://doi.org/10.1109/tmm.2021.3050057
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6
Akademický článek
Machine Intelligence in Signal Sensing, Processing, and Recognition
Autor: Lei Zhang, Sunil Kr. Jha, Zhixin Yang, Zhenbing Zhao, Bhupendra Nath Tiwari
Publikováno v: Journal of Electrical and Computer Engineering, Vol 2017 (2017)
Externí odkaz: https://doaj.org/article/ddafb3930e8b4d798737435199117844
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Plný text Recenzováno Digitální knihovna AV ČR
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