Zobrazeno 1 - 10
of 979
pro vyhledávání: '"Vineetha P"'
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
AbstractPatients in the Intensive care unit need remarkable observation. This unit consists of people who are critically ill and may tend to lose their lives anytime. Healthcare professionals in critical care tend to commit prescription errors for ma
Externí odkaz:
https://doaj.org/article/3d254ade78bc4e4daf9bfa34c7591193
Autor:
Kim, Kyo Hyun, Kara, Denizhan, Paruchuri, Vineetha, Mohan, Sibin, Kimberly, Greg, Kim, Jae, Eckhardt, Josh
There is a space of uncertainty in the modeling of vehicular dynamics of autonomous systems due to noise in sensor readings, environmental factors or modeling errors. We present Requiem, a software-only, blackbox approach that exploits this space in
Externí odkaz:
http://arxiv.org/abs/2407.15003
Autor:
Dayakar Seetha, Heera R. Pillai, Sai Ravi Chandra Nori, Sanu Ghosh Kalpathodi, Vineetha P. Thulasi, Radhakrishnan R. Nair
Publikováno v:
Virology Journal, Vol 18, Iss 1, Pp 1-8 (2021)
Abstract Background Human parvovirus B19V is a DNA virus, and a member of the family Parvoviridae, that causes various clinical manifestations, from asymptomatic to persistent infection that is associated with different autoimmune diseases. The parvo
Externí odkaz:
https://doaj.org/article/5f288290befe4be4918b2e49e8ba852f
Autor:
Maazallahi, Abbas, Thota, Sreehari, Kondaboina, Naga Prasad, Muktineni, Vineetha, Annem, Deepthi, Rokkam, Abhi Stephen, Amini, Mohammad Hossein, Salari, Mohammad Amir, Norouzzadeh, Payam, Snir, Eli, Rahmani, Bahareh
This study analyzes crop yield prediction in India from 1997 to 2020, focusing on various crops and key environmental factors. It aims to predict agricultural yields by utilizing advanced machine learning techniques like Linear Regression, Decision T
Externí odkaz:
http://arxiv.org/abs/2404.15392
Autor:
Murali Krishna Gumma, Prasad S. Thenkabail, Pardhasaradhi G. Teluguntla, Adam Oliphant, Jun Xiong, Chandra Giri, Vineetha Pyla, Sreenath Dixit, Anthony M Whitbread
Publikováno v:
GIScience & Remote Sensing, Vol 57, Iss 3, Pp 302-322 (2020)
The South Asia (India, Pakistan, Bangladesh, Nepal, Sri Lanka and Bhutan) has a staggering 900 million people (~43% of the population) who face food insecurity or severe food insecurity as per United Nations, Food and Agriculture Organization’s (FA
Externí odkaz:
https://doaj.org/article/5fa1776ca95a4394a98a2779c6425e86
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 15, Iss 2, Pp UC32-UC37 (2021)
Introduction: Anaesthesiology is a fast growing branch of medicine. There is marked shortage of anaesthesiologists in India and this hinders the growth of surgical and interventional specialities which hinges on well-trained, enthusiastic anaesth
Externí odkaz:
https://doaj.org/article/be5befc8e9e1406c98f0a97ea29f9d2b
Publikováno v:
Materials Research Express, Vol 9, Iss 6, p 066303 (2022)
The microstructure, dielectric properties, relaxor behavior, and energy storage efficiency of un-substituted and niobium (Nb) substituted (Ba _0.85 Ca _0.15 )(Zr _0.1 Ti _0.9 ) _1-x Nb _x O _3 (for x = 0, 0.02 and 0.05) samples prepared by the solid-
Externí odkaz:
https://doaj.org/article/c263217ca9ba49ecb76945f1d5b3e0e8
To enable the practical use of skyrmion-based devices, it is essential to achieve a balance between energy efficiency and thermal stability, while also ensuring reliable electrical detection against noise. Understanding how a skyrmion interacts with
Externí odkaz:
http://arxiv.org/abs/2307.08194
Publikováno v:
مجلة التربية والعلم, Vol 33, Iss 3, Pp 101-111 (2024)
In this study, five isolates of Rhizobium bacteria were isolated from root nodules of different leguminous plants as follows: Ensifer meliloti EW7 from Medicago sativa L., Ensifer fredii bv. fredii EW33 from Vigna unguiculata L., R. leguminosarum bv.
Externí odkaz:
https://doaj.org/article/219765cdc28f4b81a6f5f5ea57f1421b
Autor:
Lakshmi Puzhankara, Vineetha Karuveettil, Chandrashekar Janakiram, Ramprasad Vasthare, Sowmya Srinivasan, Angel Fenol
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background The Common Risk Factor Approach (CRFA) is one of the methods to achieve medical-dental integration. CRFA addresses shared risk factors among major Non-communicable Diseases (NCDs). This study aimed to explore the perspectives of d
Externí odkaz:
https://doaj.org/article/be143c6a4eae4008a876346619a4ac7f