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of 13
pro vyhledávání: '"Vijendra Pratap Singh"'
Publikováno v:
International Journal of Scientific Methods in Intelligence Engineering Networks. :31-43
The goal of this work is to help the visually impaired by making it possible for them to recognize hidden images on signs, which will hopefully lead to fewer accidents. Although traffic signs are essential for maintaining order, they can also increas
Publikováno v:
International Journal of Scientific Methods in Intelligence Engineering Networks. :01-10
Locating specific sensor nodes can be a difficult process in wireless sensor networks, making it one of the most difficult aspects of these networks. It is helpful in pinpointing the precise location where something took place. As a result of the fac
Publikováno v:
International Journal of Scientific Methods in Engineering and Management. :13-23
Smart grids depend on AI-based load forecasting to estimate future power demand (AI). Deep learning is especially important in smart grid load forecasting with neural networks (ANN). Processing time and data are needed to count smart grid deep learni
Publikováno v:
Epidemiologic Methods. 12
Objectives COVID-19 is frightening the health of billions of persons and speedily scattering worldwide. Medical studies have revealed that the majority of COVID-19 patients. X-ray of COVID-19 is extensively used because of their noticeably lower pric
Publikováno v:
Epidemiologic Methods. 12
Objectives The plant tomato (Solanum Lycopersicum) is vastly infected by various diseases. Exact diagnosis on time contributes a significant job to the good production of tomato crops. The key objective of this article is to recognize the infection i
Autor:
Kavita Patel, Sachin Kumar, Vijendra Pratap Singh, Sandeep Kumar Singh, Tapash Kumar Saha, Priya Jaiswal
Publikováno v:
2022 International Conference on Knowledge Engineering and Communication Systems (ICKES).
Publikováno v:
International Journal of Information Technology. 14:389-396
In the era of climate change, monitoring and effective retrieval of soil, water bodies, vegetation parameters etc. are of utmost importance which is successfully being executed using remote sensing from last few decades. The advancement of technologi
Publikováno v:
Procedia Computer Science. 167:1615-1625
The convergence of SMAC technologies resulted in an unexpected upsurge of web services on the internet. The flexibility and rental approach of the cloud makes it an attractive option for the deployment of web services-based applications. Once a numbe
Publikováno v:
Procedia Computer Science. 171:1313-1322
The convergence of Social Mobility Analytics and Cloud (SMAC) technologies resulted in an unexpected upsurge of web services on the internet. The flexibility and rental approach of the cloud makes it an attractive option for the deployment of web ser
Publikováno v:
Computación y Sistemas. 24
Supervised classification of hyperspectral remote sensing images is still challenging due to the scarcity of enough labelled samples. Semi-supervised methods have been adopted to handle this issue. Self-training is a popular semi-supervised technique