Zobrazeno 1 - 10
of 13 515
pro vyhledávání: '"PRATAP SINGH"'
Autor:
Satya Narayan Meena, Shanti Kumar Sharma, Pratap Singh, Bharat Prakash Meena, Asha Ram, Roshan Lal Meena, Deepak Singh, Ram Bhawan Meena, Mahaveer Nogiya, Devendra Jain, Kuldeep Kumar
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract In the modern era, intensive agricultural practices such as agrochemicals are applied in excessive amounts to enhance agricultural production. However, imbalanced adoption of these chemicals has arisen in the dwindling of agriculture factor
Externí odkaz:
https://doaj.org/article/195ba0de08634654b92fcc56df71bae8
Publikováno v:
Algorithms, Vol 17, Iss 10, p 457 (2024)
This study uses real-world illustrations to explore the application of deep learning approaches to predict economic information. In this, we investigate the effect of deep learning model architecture and time-series data properties on prediction accu
Externí odkaz:
https://doaj.org/article/c61b7a2a697441b5844b50be1a2f3267
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 18, Iss 08, Pp 03-04 (2024)
A 62-year-old female presented to the Surgery Outpatient Department with a four-month history of a wound on the lateral aspect of her right thigh, with an underlying history of trauma a few days prior. She had suffered a flame burn injury 50 years ag
Externí odkaz:
https://doaj.org/article/67ae07cfdc6c4c1abdcf368918ee8695
Autor:
Pratap Singh Parihar, Devyansh Nimodia, Anjali Kumari, Dhananjay Shinde, Sakshi Dudhe, Gaurav V Mishra
Publikováno v:
F1000Research, Vol 13 (2024)
Cerebral vasculitis is a rare but severe complication of Systemic Lupus Erythematosus (SLE), presenting significant challenges in management due to its potential for devastating neurological consequences and poor prognosis. We present a case of an 18
Externí odkaz:
https://doaj.org/article/baf0caaf79444828b3c514a7d393e3d9
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract Linear antenna arrays (LAAs) play a critical role in smart system communication applications such as the Internet of Things (IoT), mobile communication and beamforming. However, minimizing secondary lobes while maintaining a low beamwidth re
Externí odkaz:
https://doaj.org/article/e88d7bc243904fdd8ee156ee050d9361
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 18, Iss 01, Pp 01-02 (2024)
Midgut development is a dynamic process that begins from the fifth week of development. During this process, the midgut undergoes physiological herniation in the umbilical cord. Subsequently, it returns to the abdominal cavity through a complex 27
Externí odkaz:
https://doaj.org/article/2beae6c9f67b46af88dee9d4868c0dec
Autor:
Satya Narayan Meena, Shanti Kumar Sharma, Pratap Singh, Asha Ram, Bharat Prakash Meena, Devendra Jain, Deepak Singh, Sovan Debnath, Suman Yadav, Uditi Dhakad, Preeti Verma, Jitendra Kumar Meena, Surya Nandan
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 7 (2023)
To achieve higher crop production in a soybean-wheat cropping system, comprehensive knowledge of soil fertility status and its variability is crucial. However, a significant gap exists between the potential and actual productivity of this system in t
Externí odkaz:
https://doaj.org/article/2d3be3bd29a14bc2b4f378ca210a189f
Publikováno v:
E3S Web of Conferences, Vol 559, p 01007 (2024)
The university setting significantly impacts the student’s learning and academic achievement. A vital aspect shaping their productivity and well-being within this environment is the indoor soundscape. Different organizations, nationally and interna
Externí odkaz:
https://doaj.org/article/d7316480b35f4ea5aa717e35152ec2c4
Publikováno v:
E3S Web of Conferences, Vol 540, p 02021 (2024)
This paper meticulously reviews the work in the realms of Smart Mobility and Electric Vehicles (EVs) integration within the framework of Smart Cities, aiming to foster sustainable transportation solutions. The discourse delves into the broad areas of
Externí odkaz:
https://doaj.org/article/f12b115757934145800955f989287832
Publikováno v:
E3S Web of Conferences, Vol 540, p 13001 (2024)
This project focuses on automating the credit card application assessment process using advanced machine learning techniques, including Random Forest, Gradient Boosting, SVMs, Logistic Regression, Regularization Methods, and Hyperparameter Tuning. Th
Externí odkaz:
https://doaj.org/article/94e032493a53427d8663408ae9fea848