Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Krishna Giri"'
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/b620e66e5c0747fd8e02f4dcfd3ef50b
Autor:
Krishna Giri, Gaurav Mishra, Deep Chandra Suyal, Narendra Kumar, Bhanushree Doley, Niren Das, Rupjyoti C. Baruah, Rajarshi Bhattacharyya, Navajyoti Bora
Publikováno v:
Heliyon, Vol 9, Iss 3, Pp e14588- (2023)
The present study was carried out to evaluate the performance of native plant growth-promoting rhizobacteria (PGPR) on jhum paddy yield enhancement in Nagaland, Northeast India. Three indigenous PGPR isolates (Bacillus cereus MKGB, Pseudomonas fluore
Externí odkaz:
https://doaj.org/article/ee1cb22197594cd697994d36ba72c687
Publikováno v:
Energies, Vol 16, Iss 15, p 5805 (2023)
The current energy scenario and policies demand the transition of the fuel economy from conventional fossil fuels to renewable fuels, carbon-neutral fuels, and/or decarbonized fuels. The impact of biomass-derived fuels is well-known as their radiocar
Externí odkaz:
https://doaj.org/article/354ac0a1800d4e4bbbb1dad2127a5053
Publikováno v:
Agriculture, Vol 13, Iss 7, p 1332 (2023)
Soil carbon sequestration is vital to reduce the atmospheric carbon concentration, which is expected to increase within future climatic scenarios. The present study aims to investigate the effects of land use changes to different plantation systems o
Externí odkaz:
https://doaj.org/article/9d5f56c966074ee78b045536bfe684bb
Autor:
Krishna Giri, Girish Chandra, R.S.C. Jayaraj, R.K. Borah, Prasanta Kardong, Sikhamoni Borah, Anurag Koushik Goswami
Publikováno v:
Environmental Challenges, Vol 5, Iss , Pp 100279- (2021)
Aquilaria malaccensis Lam. (Agar), a Critically Endangered tree species native to the tropical rain forests of South and South East Asia, is known for eaglewood and its oil of medicinal and aromatic value. In order to develop stem volume prediction m
Externí odkaz:
https://doaj.org/article/5111c663bafc403a9dca2d935c184174
Autor:
Arun Jyoti Nath, Rakesh Kumar, N. Bijayalaxmi Devi, Pebam Rocky, Krishna Giri, Uttam Kumar Sahoo, Raj Kumar Bajpai, Netrananda Sahu, Rajiv Pandey
Publikováno v:
Environmental Challenges, Vol 4, Iss , Pp 100199- (2021)
Indiscriminate deforestation and shifting cultivation have accelerated soil erosion requiring the need for immediate conservation measures in the eastern Indian Himalayan region (EIHR). The present study attempts to address the problem by evaluating
Externí odkaz:
https://doaj.org/article/35fb4290829647158e77f59c0ed91cd4
Autor:
Chua, Lynn, Cui, Qiliang, Ghazi, Badih, Harrison, Charlie, Kamath, Pritish, Krichene, Walid, Kumar, Ravi, Manurangsi, Pasin, Narra, Krishna Giri, Sinha, Amer, Varadarajan, Avinash, Zhang, Chiyuan
Motivated by problems arising in digital advertising, we introduce the task of training differentially private (DP) machine learning models with semi-sensitive features. In this setting, a subset of the features is known to the attacker (and thus nee
Externí odkaz:
http://arxiv.org/abs/2401.15246
Publikováno v:
Investigaciones Geográficas, Iss 76, p 243 (2021)
Shifting cultivation (jhum cultivation), a common practice of converting forest land into agricultural land by slash and burn is threatening the ecosystem. This study assesses the effect of shifting cultivation cycles on soil quality in the North-eas
Externí odkaz:
https://doaj.org/article/97d21389552b4405a35329c3512832c1
Autor:
Denison, Carson, Ghazi, Badih, Kamath, Pritish, Kumar, Ravi, Manurangsi, Pasin, Narra, Krishna Giri, Sinha, Amer, Varadarajan, Avinash V, Zhang, Chiyuan
A well-known algorithm in privacy-preserving ML is differentially private stochastic gradient descent (DP-SGD). While this algorithm has been evaluated on text and image data, it has not been previously applied to ads data, which are notorious for th
Externí odkaz:
http://arxiv.org/abs/2211.11896
This work presents Origami, which provides privacy-preserving inference for large deep neural network (DNN) models through a combination of enclave execution, cryptographic blinding, interspersed with accelerator-based computation. Origami partitions
Externí odkaz:
http://arxiv.org/abs/1912.03485