Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Md Rafsan, Jani"'
Publikováno v:
Journal of Computer and Communications. :158-171
The necessity of recognizing handwritten characters is increasing day by day because of its various applications. The objective of this paper is to provide a sophisticated, effective and efficient way to recognize and classify Bangla handwritten char
Publikováno v:
Genomics. 111:1160-1166
Sigma promoter sequences in bacterial genomes are important due to their role in transcription initiation. Sigma 70 is one of the most important and crucial sigma factors. In this paper, we address the problem of identification of σ70 promoter seque
Publikováno v:
Journal of Computer and Communications. :84-98
In adaptive beamforming system adaptive algorithm of digital filter is applied to update the weighting vector of the antenna elements to get antenna gain along the desired direction and attenuation along the jammer. The objective of the paper is to e
Autor:
Swakkhar Shatabda, Dewan Md. Farid, Md. Rafsan Jani, Farshid Rayhan, Asif Mahbub, Sajid Ahmed
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811314971
The problem of class imbalance along with class overlapping has become a major issue in the domain of supervised learning. Most classification algorithms assume equal cardinality of the classes under consideration while optimising the cost function,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79649aca49083f199936bf7ffe85a34a
https://doi.org/10.1007/978-981-13-1498-8_12
https://doi.org/10.1007/978-981-13-1498-8_12
Publikováno v:
Genomics. 111(5)
Sigma promoter sequences in bacterial genomes are important due to their role in transcription initiation. Sigma 70 is one of the most important and crucial sigma factors. In this paper, we address the problem of identification of σ
Autor:
Farshid Rayhan, Asif Mahbub, Sajid Ahmed, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid, Chowdhury Mofizur Rahman
Publikováno v:
SKIMA
Class imbalance problem has been a challenging research problem in the fields of machine learning and data mining as most real life datasets are imbalanced. Several existing machine learning algorithms try to maximize the accuracy classification by c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb48eeaaedda9495cab1b6a5a81aa32b
http://arxiv.org/abs/1712.06658
http://arxiv.org/abs/1712.06658