Zobrazeno 1 - 6
of 6
pro vyhledávání: '"S. N. Bharath Bhushan"'
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811535130
The process of segmentation and detection of glioma plays a crucial role in medical image segmentation. With this paper, we demonstrate the capacity of deep learning algorithm-based U-Net model to handle varied spectrum of data and a comprehensive an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::044ba0e264a5146faa49ae89287fb3fb
https://doi.org/10.1007/978-981-15-3514-7_10
https://doi.org/10.1007/978-981-15-3514-7_10
Autor:
S. N. Bharath Bhushan, Ajit Danti
Publikováno v:
Future Generation Computer Systems. 88:614-623
Computing the degree of closeness (similarity) between two sets of text documents is one of the core operations in many text mining applications like text classification, clustering and sentiment analysis. The efficiency of such applications mainly d
Autor:
Ajit Danti, S. N. Bharath Bhushan
Publikováno v:
Pattern Recognition Letters. 94:118-126
An enhanced SentenceVector Space Model (S-VSM) model is proposed for the constructive representation of text documents.An interval valued representation model is proposed for S-VSM, which is computationally less expensive.Unigram representation techn
Autor:
Prasad Krishna, S. N. Bharath Bhushan, G C Manjunath Patel, Pandu R. Vundavilli, Mahesh B. Parappagoudar
This chapter is focused to locate the optimum squeeze casting conditions using evolutionary swarm intelligence and teaching learning-based algorithms. The evolutionary and swarm intelligent algorithms are used to determine the best set of process var
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58fba39e1d86720950a9e31969994752
https://doi.org/10.4018/978-1-5225-5134-8.ch010
https://doi.org/10.4018/978-1-5225-5134-8.ch010
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811075629
Text document classification is creating more interest because of the availability of the information in the textual or electronic form. Generally, in conventional approaches, representation of text data and classification of text documents are consi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7bb99cc2370b7075a51ccc3d33f0bdd
https://doi.org/10.1007/978-981-10-7563-6_50
https://doi.org/10.1007/978-981-10-7563-6_50
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811031557
FICTA (2)
FICTA (2)
In this paper we present a term sequence preserving representation for text documents called as label matrix for classification of opinions. This is an efficient yet effective representation in polarity of opinions with the use of only three parts of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ef6699d8e9fc5cb94c0513394f70d11
https://doi.org/10.1007/978-981-10-3156-4_39
https://doi.org/10.1007/978-981-10-3156-4_39