Zobrazeno 1 - 10
of 219
pro vyhledávání: '"B. Sathya"'
Publikováno v:
Data in Brief, Vol 49, Iss , Pp 109321- (2023)
This dataset provides three classes of hyperspectral images: pure, insecticide-immersed, and fungicide-immersed apples with different concentrations of fertilizers. The hyperspectral images were calibrated under white and dark correction and enhanced
Externí odkaz:
https://doaj.org/article/826849d4b7034d8f99fec5d5a6308a82
Publikováno v:
Micromachines, Vol 14, Iss 7, p 1324 (2023)
Good water quality is essential for life; therefore, decolorizing and detoxifying organic dye wastes (textile effluents) have gained immense environmental importance in recent years. Thus, the degradation of wastewater has become a potential need for
Externí odkaz:
https://doaj.org/article/bb2376c7a34147fd89f05a32ca981f9d
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 22, Iss 3, Pp 715-726 (2019)
In Remote Sensing, fusion of Panchromatic (PAN) image and Multispectral (MS) image is an important technique. This paper incorporates a multiresolution image fusion algorithm based on the proposed Spatial Frequency DWT (SFDWT – Spatial Frequency Di
Externí odkaz:
https://doaj.org/article/0c3109124e9c4c45b8455b8b06b39836
Autor:
V. Porkalai, B. Sathya, D. Benny Anburaj, G Nedunchezhian, S. Joshua Gnanamuthu, R. Meenambika
Publikováno v:
Modern Electronic Materials, Vol 4, Iss 4, Pp 135-141 (2018)
Recently, transition metal (TM) and rare earth ion doped II–VI semiconductor nanoparticles have received much attention because such doping can modify and improve optical properties of II–VI semiconductor nanoparticles by large amount. In this st
Externí odkaz:
https://doaj.org/article/c115bd9134784b95a2c2cfd8a922abad
Autor:
Liu, Xiaoning, Wu, Zongwei, Li, Ao, Vasluianu, Florin-Alexandru, Zhang, Yulun, Gu, Shuhang, Zhang, Le, Zhu, Ce, Timofte, Radu, Jin, Zhi, Wu, Hongjun, Wang, Chenxi, Ling, Haitao, Cai, Yuanhao, Bian, Hao, Zheng, Yuxin, Lin, Jing, Yuille, Alan, Shao, Ben, Guo, Jin, Liu, Tianli, Wu, Mohao, Feng, Yixu, Hou, Shuo, Lin, Haotian, Zhu, Yu, Wu, Peng, Dong, Wei, Sun, Jinqiu, Zhang, Yanning, Yan, Qingsen, Zou, Wenbin, Yang, Weipeng, Li, Yunxiang, Wei, Qiaomu, Ye, Tian, Chen, Sixiang, Zhang, Zhao, Zhao, Suiyi, Wang, Bo, Luo, Yan, Zuo, Zhichao, Wang, Mingshen, Wang, Junhu, Wei, Yanyan, Sun, Xiaopeng, Gao, Yu, Huang, Jiancheng, Chen, Hongming, Chen, Xiang, Tang, Hui, Chen, Yuanbin, Zhou, Yuanbo, Dai, Xinwei, Qiu, Xintao, Deng, Wei, Gao, Qinquan, Tong, Tong, Li, Mingjia, Hu, Jin, He, Xinyu, Guo, Xiaojie, Sabarinathan, Uma, K, Sasithradevi, A, Bama, B Sathya, Roomi, S. Mohamed Mansoor, Srivatsav, V., Wang, Jinjuan, Sun, Long, Chen, Qiuying, Shao, Jiahong, Zhang, Yizhi, Conde, Marcos V., Feijoo, Daniel, Benito, Juan C., García, Alvaro, Lee, Jaeho, Kim, Seongwan, A, Sharif S M, Khujaev, Nodirkhuja, Tsoy, Roman, Murtaza, Ali, Khairuddin, Uswah, Faudzi, Ahmad 'Athif Mohd, Malagi, Sampada, Joshi, Amogh, Akalwadi, Nikhil, Desai, Chaitra, Tabib, Ramesh Ashok, Mudenagudi, Uma, Lian, Wenyi, Lian, Wenjing, Kalyanshetti, Jagadeesh, Aralikatti, Vijayalaxmi Ashok, Yashaswini, Palani, Upasi, Nitish, Hegde, Dikshit, Patil, Ujwala, C, Sujata, Yan, Xingzhuo, Hao, Wei, Fu, Minghan, choksy, Pooja, Sarvaiya, Anjali, Upla, Kishor, Raja, Kiran, Yan, Hailong, Zhang, Yunkai, Li, Baiang, Zhang, Jingyi, Zheng, Huan
This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective network design or solution capable of generating brighter, clearer, and vi
Externí odkaz:
http://arxiv.org/abs/2404.14248
Autor:
Priya, B. Sathya, Avula, Balakrishna, Palanisamy, Anand Kumar, Kumaravel, Sakthivel, Balu, Krishnakumar, Oh, Tae Hwan, Ramasundaram, Subramaniyan, Aldossari, Samar A., Kaliyamoorthy, Selvam, Shanthi, M.
Publikováno v:
In Diamond & Related Materials October 2024 148
Hyperspectral Imaging is the acquisition of spectral and spatial information of a particular scene. Capturing such information from a specialized hyperspectral camera remains costly. Reconstructing such information from the RGB image achieves a bette
Externí odkaz:
http://arxiv.org/abs/2004.06930
Akademický článek
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Autor:
B, Sathya, R, Neelaveni
Publikováno v:
In Journal of Forensic and Legal Medicine November 2020 76
Publikováno v:
Fizjoterapia Polska; 2024, Issue 2, p367-373, 7p