Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Praful Nandankar"'
Publikováno v:
Materials Today: Proceedings. 80:1706-1712
The parsing of floorplans has been an issue for a long time in automated document processing and with algorithmic methods until recent years. This problem has also improved output with the emergence of convolutionary neural networks (CNN). The job he
Publikováno v:
2023 Second International Conference on Electronics and Renewable Systems (ICEARS).
Autor:
Jay Kumar Pandey, Vandana B. Patil, Kukati Aruna Kumari, Santanu Das, Arpit Namdev, Praful Nandankar, Ankur Gupta
Publikováno v:
Blockchain, IoT, and AI Technologies for Supply Chain Management ISBN: 9781003264521
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8c7d680832c4a0fe13574c3388840dd
https://doi.org/10.1201/9781003264521-3
https://doi.org/10.1201/9781003264521-3
Publikováno v:
ISET INTERNATIONAL CONFERENCE ON APPLIED SCIENCE & ENGINEERING (CASE 2021).
Publikováno v:
ADVANCES IN MATERIAL SCIENCE AND MANUFACTURING ENGINEERING.
Publikováno v:
Materials Today: Proceedings. 51:515-521
A load adaptive high efficiency dc-dc converter with optimized switching control is proposed in this paper. The converter is controlled through the switching frequency auto-tuning over a full range of load changes. It presents the latest algorithm to
Autor:
A. Chandrashekhar, Bingi Manorama Devi, Sandeep Vemuri, C Sushama, Pankaj Kundu, Praful Nandankar
Publikováno v:
World Journal of Engineering. 19:652-657
Purpose The COVID-19 pandemic has led to a huge loss of human life worldwide and presents an unprecedented challenge to public health, food systems and the world of work. Tens of millions of people are at risk of falling into extreme poverty due to l
Autor:
Praful Nandankar, Ranjith Reddy Gaddam, Arun Reddy Nalla, veerraju Gampala, M. Kathiravan, S. Karunakaran
Publikováno v:
World Journal of Engineering. 19:559-569
Purpose The purpose of this paper is to analyze and build a deep learning model that can furnish statistics of COVID-19 and is able to forecast pandemic outbreak using Kaggle open research COVID-19 data set. As COVID-19 has an up-to-date data collect
Autor:
Sundeep Siddula, G. K. Prashanth, Praful Nandankar, Ram Subbiah, Saikh Mohammad Wabaidur, Essam A. Al-Ammar, M. H. Siddique, Subash Thanappan
Publikováno v:
International Journal of Photoenergy.
In this paper, we develop an optimal placement of solar-wind energy systems using restricted Boltzmann machine (RBM). The RBM considers various factors to scale the process of optimal placement and enables proper sizing and placement for attaining in
Autor:
B. Prabha, Harikumar Pallathadka, Jaspreet Singh, Sandeep Kaur, Sanjiv Kumar Jain, Praful Nandankar
Publikováno v:
Materials Today. Proceedings
Covid or Corona Virus, a term ruling the world from past two years and causes a huge destruction in all countries. One of the most important Covid disease identification method is Lung based Computed Tomography (CT) image scanning, in which it provid