Zobrazeno 1 - 10
of 36 212
pro vyhledávání: '"Santosh P."'
Publikováno v:
Russian Journal of Agricultural and Socio-Economic Sciences, Vol 141, Iss 9, Pp 93-104 (2023)
The study highlighted the existing status of the beekeeping sub-sector in the Dang district. Out of 150 commercial bee growers, 61 beekeepers from Ghorahi, Tulsipur sub-metropolitan city, and Banglachuli Rural Municipality were selected based on a pr
Externí odkaz:
https://doaj.org/article/3586bfe51bbb41fe968a2fa8a803a031
Autor:
Pradeep Ruperao, Prasad Gandham, Damaris A. Odeny, Sean Mayes, Sivasubramani Selvanayagam, Nepolean Thirunavukkarasu, Roma R. Das, Manasa Srikanda, Harish Gandhi, Ephrem Habyarimana, Eric Manyasa, Baloua Nebie, Santosh P. Deshpande, Abhishek Rathore
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Due to evolutionary divergence, sorghum race populations exhibit significant genetic and morphological variation. A k-mer-based sorghum race sequence comparison identified the conserved k-mers of all 272 accessions from sorghum and the race-specific
Externí odkaz:
https://doaj.org/article/277a310a3fe447f69d85978c432793ef
Autor:
Saraogi, Divita, Bala, Suman, Joshi, Jitendra, Iyyani, Shabnam, Bhalerao, Varun, Aditya, J Venkata, Svinkin, D. S., Frederiks, D. D., Lysenko, A. L., Ridnaia, A. V., Kozyrev, A. S., Golovin, D. V., Mitrofanov, I. G., Litvak, M. L., Sanin, A. B., Chattopadyay, Tanmoy, Gupta, Soumya, Waratkar, Gaurav, Bhattacharya, Dipankar, Vadawal, Santosh, Dewangan, Gulab
We present results of a comprehensive analysis of the polarization characteristics of GRB 200503A and GRB 201009A observed with the Cadmium Zinc Telluride Imager (CZTI) on board AstroSat. Despite these GRBs being reasonably bright, they were missed b
Externí odkaz:
http://arxiv.org/abs/2411.00410
Autor:
Du, Yifan, Sua, Yong Meng, Kumar, Santosh, Zhang, Jiuyi, Li, Xiangzhi, Hu, Yongxiang, Ghuman, Parminder, Huang, Yuping
We demonstrate a chip-integrated emission spectroscope capable of retrieving the temperature of the light sources. It consists of a single photon detector with low dark counts and a sweeping on-chip filter with 2 pm spectral resolution in the visible
Externí odkaz:
http://arxiv.org/abs/2410.23966
Navigating indoor environments presents significant challenges for visually impaired individuals due to complex layouts and the absence of GPS signals. This paper introduces a novel system that provides turn-by-turn navigation inside buildings using
Externí odkaz:
http://arxiv.org/abs/2410.19954
Autor:
Chaudhary, Santosh Kumar, Gupta, Nitin
In this paper, we investigate inaccuracy measures based on record values, focusing on the relationship between the distribution of the n-th upper and lower k-record values and the parent distribution. We extend the classical Kerridge inaccuracy measu
Externí odkaz:
http://arxiv.org/abs/2410.17658
Quantum techniques are expected to revolutionize how information is acquired, exchanged, and processed. Yet it has been a challenge to realize and measure their values in practical settings. We present first photon machine learning as a new paradigm
Externí odkaz:
http://arxiv.org/abs/2410.17471
Improving Automatic Speech Recognition with Decoder-Centric Regularisation in Encoder-Decoder Models
This paper proposes a simple yet effective way of regularising the encoder-decoder-based automatic speech recognition (ASR) models that enhance the robustness of the model and improve the generalisation to out-of-domain scenarios. The proposed approa
Externí odkaz:
http://arxiv.org/abs/2410.17437
In the evolving NLP landscape, benchmarks serve as yardsticks for gauging progress. However, existing Legal NLP benchmarks only focus on predictive tasks, overlooking generative tasks. This work curates LexSumm, a benchmark designed for evaluating le
Externí odkaz:
http://arxiv.org/abs/2410.09527
Autor:
Radha, Santosh Kumar, Goktas, Oktay
Human learning thrives on the ability to learn from mistakes, adapt through feedback, and refine understanding-processes often missing in static machine learning models. In this work, we introduce Composite Learning Units (CLUs) designed to transform
Externí odkaz:
http://arxiv.org/abs/2410.08037