Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Arpita Vats"'
Autor:
Arpita Vats, Sanjay Kumar
Publikováno v:
Role of Microbes in Industrial Products and Processes. :363-396
Autor:
Navodit Kumar Singh, Arpita Vats, Akruti Singh, Anushka Tyagi, Santosh Kumar Mishra, Narendra Kumar, Sanjay Kumar
Publikováno v:
Role of Microbes in Industrial Products and Processes. :195-222
Autor:
Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto De Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Hofer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-Ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Zheng Ziqiang, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW).
Autor:
Arpita Vats, David C. Anastasiu
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031162893
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f0807c0cef4377c9b7236ac66ec0c8c
https://doi.org/10.1007/978-3-031-16290-9_58
https://doi.org/10.1007/978-3-031-16290-9_58
Autor:
Arpita Vats
In this paper, it is introduced a hand gesture recognition system to recognize the characters in the real time. The system consists of three modules: real time hand tracking, training gesture and gesture recognition using Convolutional Neural Network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca0dbeec87b9ec2b137c3017881f4469
https://doi.org/10.36227/techrxiv.14055059.v1
https://doi.org/10.36227/techrxiv.14055059.v1
Autor:
Saroj Mishra, Arpita Vats
Publikováno v:
Environmental Science and Pollution Research. 24:11650-11662
In this study, the white-rot fungus Cyathus bulleri was cultivated on low-cost agro-residues, namely wheat bran (WB), wheat straw (WS), and domestic waste orange peel (OP) for production of ligninolytic enzymes. Of the three substrates, WB and OP ser
Autor:
Saroj Mishra, Arpita Vats
Publikováno v:
New Biotechnology. 33:S142-S143