Zobrazeno 1 - 10
of 295
pro vyhledávání: '"Pradipta Kishore Dash"'
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:
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:
Protection and Control of Modern Power Systems, Vol 7, Iss 1, Pp 1-24 (2022)
Abstract This paper presents fault detection, classification, and location for a PV-Wind-based DC ring microgrid in the MATLAB/SIMULINK platform. Initially, DC fault signals are collected from local measurements to examine the outcomes of the propose
Externí odkaz:
https://doaj.org/article/1e1b4913b448400292845d3f65ccdb3a
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:
IET Image Processing, Vol 15, Iss 6, Pp 1247-1259 (2021)
Abstract This paper presents skin color enhancement based on favorite skin color to agree with user‐defined favorite skin color using improved histogram equalization with variable enhancement degree (IHEwVED) and machine learning methods. The skin
Externí odkaz:
https://doaj.org/article/d4291802cfa945959158c9b1cfac52d6
Publikováno v:
IET Generation, Transmission & Distribution, Vol 15, Iss 4, Pp 631-644 (2021)
Abstract This study presents a novel approach using adaptive variational mode decomposition with detrended fluctuation analysis to detect the islanding disturbances for photovoltaic based DC micro grid. DC parameters are simple to estimate in compari
Externí odkaz:
https://doaj.org/article/08a3d3735b94430393459f7e85ed7606
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 7, Iss 5, Pp 1241-1255 (2019)
A new hybrid adaptive autoregressive moving average (ARMA) and functional link neural network (FLNN) trained by adaptive cubature Kalman filter (ACKF) is presented in this paper for forecasting day-ahead mixed short-term demand and electricity prices
Externí odkaz:
https://doaj.org/article/432a670b56e4487f81a91c2edaa798cc
Autor:
Rajashree Dash, Pradipta Kishore Dash
Publikováno v:
Journal of Finance and Data Science, Vol 2, Iss 1, Pp 42-57 (2016)
In this paper, a novel decision support system using a computational efficient functional link artificial neural network (CEFLANN) and a set of rules is proposed to generate the trading decisions more effectively. Here the problem of stock trading de
Externí odkaz:
https://doaj.org/article/03ea59f4fd9045aeb39e2dd2348adf70
Publikováno v:
IEEE Transactions on Industrial Electronics. 69:2088-2098
A fast and precise dynamic phasor estimation algorithm using an adaptive improved second order Levenberg–Marquadt algorithm under stressed and off-nominal frequency circumstances is proposed in this paper. The proposed algorithm ventures a faster q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97b1a787a49e994232af3b27c7cbde91
https://doi.org/10.1109/tie.2021.3056998
https://doi.org/10.1109/tie.2021.3056998