Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Sudeepa Roy Dey"'
Publikováno v:
2023 IEEE 8th International Conference for Convergence in Technology (I2CT).
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811973451
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c97eccb66aef9001216c0652a589300
https://doi.org/10.1007/978-981-19-7346-8_55
https://doi.org/10.1007/978-981-19-7346-8_55
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811946752
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88104ddbc26893dc09174213fa5b1aab
https://doi.org/10.1007/978-981-19-4676-9_8
https://doi.org/10.1007/978-981-19-4676-9_8
Publikováno v:
Journal of Scientometric Research. 10:110-118
Publikováno v:
Journal of Scientometric Research. 8:s7-s38
Publikováno v:
The North American Journal of Economics and Finance. 47:552-567
Predicting returns in the stock market is usually posed as a forecasting problem where prices are predicted. Intrinsic volatility in the stock market across the globe makes the task of prediction challenging. Consequently, forecasting and diffusion m
Autor:
Sudeepa Roy Dey, Archana Mathur, Snehanshu Saha, Swati Sampatrao Gambhire, Harsha Vamsi, Gouri Ginde
Publikováno v:
Journal of Scientometric Research. 7:114-119
Visualization of the massive data is a challenging endeavor. Extracting data and providing graphical representations can aid in its effective utilization in terms of interpretation and knowledge discovery. Publishing research articles has become a wa
Publikováno v:
Journal of Scientometric Research. 7:120-124
Ancestry and genealogy tree are proven tools to determine the lineage of any person and establish dependencies among individuals. Genealogy tree can be exploited further to gain information about the researcher and his scholastic lineage which is of
Publikováno v:
Journal of Information Science. :016555152110391
Evaluative bibliometrics often attempts to explore various methods to measure individual scholarly influence. Scholarly independence (SI) is a unique indicator that can be used to understand and assess the research performances of individual scholars