Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Ranjeeta Bisoi"'
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 9, Iss , Pp 100740- (2024)
This paper presents the design and control of a wind energy converter system that uses a doubly fed induction generator. It introduces a model that incorporates instantaneous active and reactive power as state variables to represent both the stator a
Externí odkaz:
https://doaj.org/article/25c25a36b0004baca4f22be3d028bf02
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 7, Iss , Pp 100420- (2024)
For optimal energy management in the DC microgrid, there are two major challenges, such as minimization of operational cost and balancing the power flow. Most of the benchmark techniques are used to develop energy management systems (EMS) by demonstr
Externí odkaz:
https://doaj.org/article/cf3d8f480b734054a3479977601e900c
Publikováno v:
Egyptian Informatics Journal, Vol 24, Iss 2, Pp 241-255 (2023)
Deep analysis of genomic data reveals that many deadly diseases are generated due to genetic mutation. To make the health care system more robust, a machine learning researcher’s prime intention is to classify the genomic data more efficiently with
Externí odkaz:
https://doaj.org/article/eda683123d904790a4830949d20a4e42
Publikováno v:
IEEE Access, Vol 11, Pp 31636-31656 (2023)
Classification of different deadly diseases using machine learning algorithms helps in making the health care system more robust. This, not only reduces the human errors during diagnosis of disease due to inexperience but also helps the physician for
Externí odkaz:
https://doaj.org/article/134c351cbf634aa4a55378883a6a2aae
Publikováno v:
IEEE Access, Vol 10, Pp 49219-49232 (2022)
The classification of high dimensional gene expression/ microarray data always plays an important role in various disease diagnoses and drug discovery. To avoid the curse of high dimensionality, the selection of the most influential genes remains a c
Externí odkaz:
https://doaj.org/article/93ec79f081964648acd4711ccb433862
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 29, Iss 4, Pp 536-552 (2017)
The paper presents a low complexity recurrent Functional Link Artificial Neural Network for predicting the financial time series data like the stock market indices over a time frame varying from 1 day ahead to 1 month ahead. Although different types
Externí odkaz:
https://doaj.org/article/659dd85c6d424dd5b743e97273439cf8
Publikováno v:
International Journal of Knowledge-based and Intelligent Engineering Systems. 26:249-269
This paper presents forecasting and trend analysis of foreign currency exchange rate in financial market using a hybrid Deep Analytic Network (DAN) technique optimized by a modified water cycle algorithm called Weighted WCA (WWCA) with better general
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7bbfd8825b33abb68972494b954e233
https://doi.org/10.3233/kes-218014
https://doi.org/10.3233/kes-218014
Publikováno v:
Pattern Analysis and Applications. 26:403-435
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb78ae8059f6ef92293de7df814b4875
https://doi.org/10.1007/s10044-022-01107-x
https://doi.org/10.1007/s10044-022-01107-x
Autor:
Kanche Anjaiah, P.K. Dash, Ranjeeta Bisoi, Snigdha Sarangi, Shibani Prasad Mohapatra, Jonnalagadda Divya
Publikováno v:
2022 2nd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::088fbff84762388d3f7ca91444fbef44
https://doi.org/10.1109/odicon54453.2022.10010061
https://doi.org/10.1109/odicon54453.2022.10010061
Publikováno v:
2022 2nd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::877403a90360eb9d638248d97e7315d1
https://doi.org/10.1109/odicon54453.2022.10010210
https://doi.org/10.1109/odicon54453.2022.10010210