Zobrazeno 1 - 10
of 28 901
pro vyhledávání: '"P. Lakshmi"'
Autor:
P. Lakshmi Soujanya, J. C. Sekhar, Chikkappa G. Karjagi, C. V. Ratnavathi, R. Venkateswarlu, K. R. Yathish, S. B. Suby, N. Sunil, Sujay Rakshit
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Host Plant Resistance (HPR) is the most important component for sustainable management of insect pests. The purpose of the present work was to understand the role of various morphological and biochemical factors as defense mechanism and their interac
Externí odkaz:
https://doaj.org/article/fad63a7b5c1444ebab06311ae7bc9488
Autor:
Md. Ashraful Haque, Sudeep Marwaha, Chandan Kumar Deb, Sapna Nigam, Alka Arora, Karambir Singh Hooda, P. Lakshmi Soujanya, Sumit Kumar Aggarwal, Brejesh Lall, Mukesh Kumar, Shahnawazul Islam, Mohit Panwar, Prabhat Kumar, R. C. Agrawal
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract In recent years, deep learning techniques have shown impressive performance in the field of identification of diseases of crops using digital images. In this work, a deep learning approach for identification of in-field diseased images of ma
Externí odkaz:
https://doaj.org/article/6e06f5391a9447b88d36ca458f56815b
Arch filament systems (AFSs) are chromospheric and coronal manifestations of emerging magnetic flux. Using high spatial resolution observations taken at a high cadence by the Extreme Ultraviolet Imager (EUI) on board Solar Orbiter, we identified smal
Externí odkaz:
http://arxiv.org/abs/2411.07876
Autor:
Bajpai, Shrajal, Patra, Lakshmi Kanta
In the life testing experiment and reliability engineering doubly type-II censored scheme is an important sampling scheme. In the present commutation, we have considered estimating ordered scale parameters of two exponential distributions based on do
Externí odkaz:
http://arxiv.org/abs/2411.06888
In the usual statistical inference problem, we estimate an unknown parameter of a statistical model using the information in the random sample. A priori information about the parameter is also known in several real-life situations. One such informati
Externí odkaz:
http://arxiv.org/abs/2411.05487
Autor:
Ardon, Leo, Evans, Benjamin Patrick, Garg, Deepeka, Narayanan, Annapoorani Lakshmi, Henry-Nickie, Makada, Ganesh, Sumitra
We develop a novel two-layer approach for optimising mortgage relief products through a simulated multi-agent mortgage environment. While the approach is generic, here the environment is calibrated to the US mortgage market based on publicly availabl
Externí odkaz:
http://arxiv.org/abs/2411.00563
We investigate the behaviour of the prominent non-radial fundamental $f$-mode oscillations of dark matter (DM) admixed strange quark stars (DMSQSs), by adopting an equation of state (EoS) developed in Ref.~\cite{Sen:2022pfr}, which considers the poss
Externí odkaz:
http://arxiv.org/abs/2410.20923
Abnormalities in the gastrointestinal tract significantly influence the patient's health and require a timely diagnosis for effective treatment. With such consideration, an effective automatic classification of these abnormalities from a video capsul
Externí odkaz:
http://arxiv.org/abs/2410.19363
Autor:
Kagaya, Tomoyuki, Lou, Yuxuan, Yuan, Thong Jing, Lakshmi, Subramanian, Karlekar, Jayashree, Pranata, Sugiri, Murakami, Natsuki, Kinose, Akira, Oguri, Koki, Wick, Felix, You, Yang
In recent years, Large Language Models (LLMs) have demonstrated high reasoning capabilities, drawing attention for their applications as agents in various decision-making processes. One notably promising application of LLM agents is robotic manipulat
Externí odkaz:
http://arxiv.org/abs/2410.16919
Autor:
Ram, Bhinva, Samanta, Tanmoy, Chen, Yajie, Sterling, Alphonse, Joshi, Jayant, Yurchyshyn, Vasyl, Chitta, Lakshmi Pradeep, Pant, Vaibhav
Small-scale Brightenings (SBs) are commonly observed in the transition region that separates the solar chromosphere from the corona. These brightenings, omnipresent in active region patches known as "moss" regions, could potentially contribute to the
Externí odkaz:
http://arxiv.org/abs/2410.15124