Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Anowarul Abedin"'
Autor:
Mithun Biswas, Rafiqul Islam, Gautam Kumar Shom, Md. Shopon, Nabeel Mohammed, Sifat Momen, Anowarul Abedin
Publikováno v:
Data in Brief, Vol 12, Iss C, Pp 103-107 (2017)
BanglaLekha-Isolated, a Bangla handwritten isolated character dataset is presented in this article. This dataset contains 84 different characters comprising of 50 Bangla basic characters, 10 Bangla numerals and 24 selected compound characters. 2000 h
Externí odkaz:
https://doaj.org/article/175220020ef14836bdde8ec5bbeb7c23
Autor:
Nabeel Mohammed, Sifat Momen, Anowarul Abedin, Rafiqul Islam, Gautam Kumar Shom, Nafees Mansoor, Mithun Biswas
Publikováno v:
ICSIPA
Bangla is one of the most widely used languages worldwide. This paper presents an application of image retrieval techniques to automatically judge the aesthetic quality of handwritten Bangla isolated characters. Retrieval techniques are also adapted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b4a8553fe35735cc66a388d71642827
https://doi.org/10.1109/icsipa.2017.8120596
https://doi.org/10.1109/icsipa.2017.8120596
Autor:
Md. Shopon, Sifat Momen, Anowarul Abedin, Mithun Biswas, Rafiqul Islam, Nabeel Mohammed, Gautam Kumar Shom
Publikováno v:
Data in Brief
Data in Brief, Vol 12, Iss C, Pp 103-107 (2017)
Data in Brief, Vol 12, Iss C, Pp 103-107 (2017)
BanglaLekha-Isolated, a Bangla handwritten isolated character dataset is presented in this article. This dataset contains 84 different characters comprising of 50 Bangla basic characters, 10 Bangla numerals and 24 selected compound characters. 2000 h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94699b8081b0b534adaf66036e25b1cb
https://pubmed.ncbi.nlm.nih.gov/28409178
https://pubmed.ncbi.nlm.nih.gov/28409178
Publikováno v:
2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR).
Deep Convolutional Neural Networks - also known as DCNN - are powerful models for different visual pattern classification problems. Many works in this field use image augmentation at the training phase to achieve better accuracy. This paper presents
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2922f8aeca9c2a4d02c12e41feb247fc
https://doi.org/10.1109/icivpr.2017.7890867
https://doi.org/10.1109/icivpr.2017.7890867
Publikováno v:
IWCI
Handwritten digit recognition is a typical image classification problem. Convolutional neural networks, also known as ConvNets, are powerful classification models for such tasks. As different languages have different styles and shapes of their numera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c86d1834d9f6d97580bdaeddbc99d5a
https://doi.org/10.1109/iwci.2016.7860340
https://doi.org/10.1109/iwci.2016.7860340
Autor:
Md. Anowarul Abedin, Selim Reza, Md. Akhtaruzzaman Adnan, Mohammad Abdur Razzaque, Molla Rashied Hussein
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783319245829
Wireless sensor networks are primarily characterized by inadequate energy supply. Therefore, development of an energy efficient protocol can play an important role in impacting the network lifetime. Typically, communication is the most energy expensi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cde02c9db4ecec86c8e5ab4b8df8664
https://doi.org/10.1007/978-3-319-24584-3_53
https://doi.org/10.1007/978-3-319-24584-3_53
Publikováno v:
Informatics Engineering and Information Science ISBN: 9783642254826
All present techniques for mining data stream can detect concept drift, outlier and pattern by using separate techniques directly on data stream and an applicable single technique from a higher level of abstraction for detecting all these has not bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::236288b6755ca8bf10543f5519bd7d98
https://doi.org/10.1007/978-3-642-25483-3_38
https://doi.org/10.1007/978-3-642-25483-3_38
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