Zobrazeno 1 - 10
of 618
pro vyhledávání: '"Mishra Amit Kumar"'
Publikováno v:
Indian Journal of Community Medicine, Vol 49, Iss 7, Pp 80-81 (2024)
Background: Dengue is a mosquito borne viral disease caused by Dengue virus (DENV). Nearly about half of global population is at risk now with an estimated 100-400 million infections occurring every year. South East Asia (SEA) countries are at more r
Externí odkaz:
https://doaj.org/article/0fccf0db1bd642fab43872cfce50a1ba
Autor:
Aswanth, Mishra Amit Kumar
Publikováno v:
Indian Journal of Community Medicine, Vol 49, Iss 7, Pp 83-83 (2024)
Background: Tuberculosis in India is a major public health problem. The National Strategic Plan 2017-2025 aims to achieve a rapid decline in burden of TB, morbidity and mortality while working towards elimination of TB in India by 2025. By proper car
Externí odkaz:
https://doaj.org/article/0c21e70b89fb4c6bbc2d743194e781ea
Heart disease, also known as cardiovascular disease, is a prevalent and critical medical condition characterized by the impairment of the heart and blood vessels, leading to various complications such as coronary artery disease, heart failure, and my
Externí odkaz:
http://arxiv.org/abs/2310.12630
Autor:
Mishra, Amit Kumar
Publikováno v:
2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
Calibration of sensors is a major challenge especially in inexpensive sensors and sensors installed in inaccessible locations. The feasibility of calibrating sensors without the need for a standard sensor is called blind calibration. There is very li
Externí odkaz:
http://arxiv.org/abs/2308.02431
Autor:
Hepworth, James H., Mishra, Amit Kumar
Sea-Ice drift affects various global processes including the air-sea-ice energy system, numerical ocean modelling, and maritime activity in the polar regions. Drift has been investigated via various technologies ranging from satellite based systems t
Externí odkaz:
http://arxiv.org/abs/2307.10789
By making use of the sensors and AI (SensAI) algorithms for a specialized task, Application Specific INstrumentation (ASIN) framework uses less computational overhead and gives a good performance. This work evaluates the feasibility of the ASIN frame
Externí odkaz:
http://arxiv.org/abs/2301.04115
Autor:
Nissar, Mehvish1 (AUTHOR) 2022ree2002@iitjammu.ac.in, Mishra, Amit Kumar2 (AUTHOR) akmishra@ieee.org, Subudhi, Badri Narayan1 (AUTHOR) subudhi.badri@iitjammu.ac.in
Publikováno v:
Mathematics (2227-7390). Oct2024, Vol. 12 Issue 20, p3227. 22p.
Learning classifiers using skewed or imbalanced datasets can occasionally lead to classification issues; this is a serious issue. In some cases, one class contains the majority of examples while the other, which is frequently the more important class
Externí odkaz:
http://arxiv.org/abs/2211.05456