Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Abhilash Singh"'
Autor:
Rajat Shukla VSM, Indra Prakash Dubey, Ajay Kumar, Kiran Kumar Kompella, Sohil Khan, Kirti Mohanan, Abhilash Singh
Publikováno v:
Journal of Marine Medical Society, Vol 26, Iss 1, Pp 127-131 (2024)
Pyomyositis is an acute pyogenic infection of the muscles and tissues which results in localized pus collections and abscess formation. This entity at times becomes difficult to diagnose due to lack of specific signs and atypical or nonspecific manif
Externí odkaz:
https://doaj.org/article/87e9d3d0fd5c49ed8080f93657d89170
Autor:
Sachin Dhakad, Abhilash Singh, Kumar Deepak, Pruthviraj CS, Rashmi Thakur, Vinod Yedalwar, Sonpal Jindal
Publikováno v:
Asian Journal of Medical Sciences, Vol 14, Iss 10, Pp 281-286 (2023)
Background: Mild head injury (MHI) complicated by an intracranial hemorrhage (ICH) is a common cause of hospital admission after head trauma. The majority of patients get non-operative care, maintain neurological stability, and are successfully disch
Externí odkaz:
https://doaj.org/article/dcf5172cc3c447e5b87b6bfed1b7f31f
Autor:
Atul Harmukh, Abhilash Singh, Praveen Kumar, Sanjeev K. Verma, Pal Dinesh Kumar, S. G. Ganpule
Publikováno v:
Frontiers in Mechanical Engineering, Vol 9 (2023)
Behind helmet blunt trauma is a significant health concern in modern warfare. The ballistic response of the human head under ballistic impact is highly sought. Towards this end, we conducted ballistic experiments on three different headforms. The fol
Externí odkaz:
https://doaj.org/article/b87ef479d33041d2816735e91e37ae22
Autor:
Abhilash Singh, Kumar Gaurav
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-20 (2023)
Abstract We propose a new architecture based on a fully connected feed-forward Artificial Neural Network (ANN) model to estimate surface soil moisture from satellite images on a large alluvial fan of the Kosi River in the Himalayan Foreland. We have
Externí odkaz:
https://doaj.org/article/ca51672d488b4a07be1067eac2de6df0
Publikováno v:
IEEE Access, Vol 11, Pp 13605-13635 (2023)
This review provides a detailed synthesis of various in-situ, remote sensing, and machine learning approaches to estimate soil moisture. Bibliometric analysis of the published literature on soil moisture shows that Time-Domain Reflectometry (TDR) is
Externí odkaz:
https://doaj.org/article/4ddfe50e705a412c9dac94ccc6f1688d
Publikováno v:
Geographies, Vol 2, Iss 4, Pp 734-742 (2022)
We evaluate the penetration depth of synthetic aperture radar (SAR) signals into the ground surface at different frequencies. We applied dielectric models (Dobson empirical, Hallikainen, and Dobson semi-empirical) on the ground surface composed of di
Externí odkaz:
https://doaj.org/article/dcc88b6d4ad54315bab28359e85f6381
Autor:
Abhilash Singh Chauhan, Rajesh Kumar Singh Maurya, Alka Rani, Anurag Malik, Ozgur Kisi, Abhishek Danodia
Publikováno v:
Water Supply, Vol 22, Iss 8, Pp 6909-6944 (2022)
This study investigates the spatio-temporal distribution and trends of seasonal rainfall for different meteorological sub-divisions (MSDs) of India using statistical analysis and the innovative trend analysis (ITA) method. The gridded dataset of dail
Externí odkaz:
https://doaj.org/article/5d86aaca5a65410dac6d6115df758725
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Momentous increase in the popularity of explainable machine learning models coupled with the dramatic increase in the use of synthetic data facilitates us to develop a cost-efficient machine learning model for fast intrusion detection and pr
Externí odkaz:
https://doaj.org/article/456b2e7c1e8a41b3ac153def1e8223f3
Autor:
Abhilash Singh Chauhan, Surender Singh, Rajesh Kumar Singh Maurya, Alka Rani, Abhishek Danodia
Publikováno v:
Journal of Water and Climate Change, Vol 13, Iss 5, Pp 2143-2170 (2022)
In this study, we investigated the spatio-temporal distribution and performance of seasonal precipitation in all districts of Haryana, India. We analysed the gridded precipitation dataset of the India Meteorological Department (IMD) for a period of 1
Externí odkaz:
https://doaj.org/article/3134cd0f22094ddc8ef4e84fd88e3c66
Publikováno v:
Intelligent Systems with Applications, Vol 17, Iss , Pp 200164- (2023)
We propose a hybrid machine learning algorithm (i.e., P2CA−PSO−ANN) to model malaria outbreak in three districts (Barmer, Bikaner, and Jodhpur) of Rajasthan in the Western India. We have used different meteorological variables (i.e., relative hum
Externí odkaz:
https://doaj.org/article/82cac1dd6ad34b21b238ae43757b8dc6