Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Nimai Chand Das Adhikari"'
Autor:
Vaisakh Shaj, Nimai Chand Das Adhikari, Vamshi Kumar Kurva, Karthikeyan, Suhas S, Hitesh Nayak, Kumar Rishav, Sankalp Kumar Nayak, Arpana Alka, Ashish Kumar Nayak
Publikováno v:
International Journal of Computer Science and Information Technology. 10:49-64
Autor:
Nimai Chand Das Adhikari
Publikováno v:
International Journal of Artificial Intelligence & Applications. 9:21-35
Heart is the most important organ of a human body as it not only circulates oxygen and other vital nutrients through blood to different parts of the body and helping in the metabolic activities but also removes metabolic wastes. Thus, even a minor pr
Autor:
Chinmaya Chandan, Nimai Chand Das Adhikari, Gaurav Gupta, S. Teja, Lalit Das, Rajat Garg, Nishanth Domakonda, Ashutosh Misra
Publikováno v:
International Conference on Computer Networks and Communication Technologies ISBN: 9789811086809
Demand Forecasting, undeniably, is the single most important component of any organizations Supply Chain. It determines the estimated demand for the future and sets the level of preparedness that is required on the supply side to match the demand. It
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ceed7c7bad73172f5de446e0586b1ecd
https://doi.org/10.1007/978-981-10-8681-6_17
https://doi.org/10.1007/978-981-10-8681-6_17
Intelligent Models for predicting diseases whether building a model to help the doctor or even preventing its spread in an area globally, is increasing day by day. Here we present a noble approach to predict the disease prone area using the power of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65a26638d29e4ffe7c349beef3850335
Autor:
Suhas S, Sankalp Kumar Nayak, Jitendra Kumar Kushwaha, Vamshi Kumar Kurva, Nimai Chand Das Adhikari, Ashish Kumar Nayak, Vaisakh Shaj
Publikováno v:
Computer Science & Information Technology (CS & IT).
Publikováno v:
2017 International Conference on Intelligent Sustainable Systems (ICISS).
The learning speed of the feed forward neural network takes a lot of time to be trained which is a major drawback in their applications since the past decades. The key reasons behind may be due to the slow gradient-based learning algorithms which are
Autor:
Lalit Das, Srinivas Deshpande, Shaivya Datt, Ashutosh Misra, Rajat Garg, Nimai Chand Das Adhikari
Publikováno v:
2017 International Conference on Intelligent Sustainable Systems (ICISS).
Generating forecast is undoubtedly one of the most important sector in any industry. It not only helps the demand planner of the company which is focusing primarily on the future forecasting of the sales but also the inventory management and its hand