Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Vijaya Lakshmi V. Nadimpalli"'
Autor:
Vijaya Lakshmi V. Nadimpalli, Santosh Kesiraju, Rohith Banka, Rashmi Kethireddy, Suryakanth V. Gangashetty
Publikováno v:
IEEE Access, Vol 10, Pp 34789-34799 (2022)
This paper presents the resources and benchmarks developed for keyword search (KWS) in spoken audio from six low-resource Indian languages (from two families), namely Gujarati, Hindi, Marathi, Odia, Tamil, and Telugu. The current work on constructing
Externí odkaz:
https://doaj.org/article/d93283f13a28477daf0ba76fd75e35b8
In this article, an innovative Genetic Algorithm is proposed to find potential patches enclosing roots of real valued function f:R→R. As roots of f can be real as well as complex, the function is reframed on to complex plane by writing it as f(z).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c07ad622aa0e66f07cf730ed1df214a1
https://doi.org/10.4018/978-1-7998-8048-6.ch012
https://doi.org/10.4018/978-1-7998-8048-6.ch012
Publikováno v:
International Journal of Natural Computing Research. 6:18-37
In this article, an innovative Genetic Algorithm is proposed to find potential patches enclosing roots of real valued function f:R→R. As roots of f can be real as well as complex, the function is reframed on to complex plane by writing it as f(z).
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319133645
MIWAI
MIWAI
Novel Sequence Generating Algorithm (SGA) and Potential Interval Qualifier Algorithm (PIQA) are designed to classify potential interval estimates of a given nonlinear equation into intervals possessing roots and intervals containing extrema. Using tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5eeedc8871a1a3b7e1d341cdfd3c83d7
https://doi.org/10.1007/978-3-319-13365-2_1
https://doi.org/10.1007/978-3-319-13365-2_1
Publikováno v:
Applications of Evolutionary Computation ISBN: 9783662455227
EvoApplications
EvoApplications
Novel Pre-processing and Post-processing methodologies are designed to enhance the performance of the classical Genetic Algorithms (GA) approach so as to obtain efficient interval estimates in finding the real roots of a given nonlinear equation. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75701c4be671ef6f0117d02a667c3e91
https://doi.org/10.1007/978-3-662-45523-4_47
https://doi.org/10.1007/978-3-662-45523-4_47