Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Nimrita Koul"'
Autor:
Nimrita Koul, Sunilkumar S Manvi
Publikováno v:
Global Transitions Proceedings. 3:251-256
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e01301c567e1651710af806fdd51bb1
https://doi.org/10.1016/j.gltp.2022.03.001
https://doi.org/10.1016/j.gltp.2022.03.001
Autor:
Sunil Kumar S. Manvi, Nimrita Koul
Publikováno v:
Medical & Biological Engineering & Computing. 59:2353-2371
Computational classification of cancers is an important research problem. Gene expression data has 1000s of features, very few samples, and a class imbalance problem. In this paper, we have proposed a framework for the classification of cancer gene e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a285d4a4df1b8a56db28d5131d005460
https://doi.org/10.1007/s11517-021-02442-7
https://doi.org/10.1007/s11517-021-02442-7
Publikováno v:
2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03cd1c49d85c66b50c5ce4c1ea98fbe6
https://doi.org/10.1109/conecct55679.2022.9865787
https://doi.org/10.1109/conecct55679.2022.9865787
Autor:
Nimrita Koul, Sunilkumar S. Manvi
Publikováno v:
Applications of Blockchain and Big Iot Systems ISBN: 9781003231332
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d1a09231bfa673066eb2858c1f30041
https://doi.org/10.1201/9781003231332-14
https://doi.org/10.1201/9781003231332-14
Publikováno v:
2022 International Conference for Advancement in Technology (ICONAT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc4b84ae1658b61fc46c045f186da9e3
https://doi.org/10.1109/iconat53423.2022.9725968
https://doi.org/10.1109/iconat53423.2022.9725968
Autor:
Nimrita Koul, Sunilkumar S. Manvi
Publikováno v:
International Journal of Information Technology. 13:375-381
Sanskrit, one of the oldest of human languages, has an algorithmic, calculus like grammar which resembles a computer program. In this paper, we propose a model for machine translation of Sanskrit Sentences into English using recurrent neural networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c220c7fdf763a3695f5bdd3da835966
https://doi.org/10.1007/s41870-019-00340-8
https://doi.org/10.1007/s41870-019-00340-8
Autor:
Dr. Nimrita Koul
In today's digital world, mastering deepfake detection is crucial, with deepfake content increasing by 900% since 2019 and 96% used for malicious purposes like fraud and disinformation.'Ultimate Deepfake Detection with Python'equips you with the skil
Autor:
Nimrita, Koul, Sunilkumar S, Manvi
Publikováno v:
Medicalbiological engineeringcomputing. 59(11-12)
Computational classification of cancers is an important research problem. Gene expression data has 1000s of features, very few samples, and a class imbalance problem. In this paper, we have proposed a framework for the classification of cancer gene e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::aebfcc0f0af90480551b9563d4b6ee53
https://pubmed.ncbi.nlm.nih.gov/34609687
https://pubmed.ncbi.nlm.nih.gov/34609687
Autor:
Nimrita Koul, Sunilkumar S. Manvi
Publikováno v:
Emerging Technologies in Data Mining and Information Security ISBN: 9789811597732
Inference of gene regulatory networks refers to identification and localization of functional interactions among genes by application of computational analysis on genomic data. The gene expression data obtained from cDNA microarrays has been used oft
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42282cfd5ce876b2b1ae5b80bf03a66c
https://doi.org/10.1007/978-981-15-9774-9_81
https://doi.org/10.1007/978-981-15-9774-9_81
Autor:
Sunil Kumar S. Manvi, Nimrita Koul
Publikováno v:
Recent Trends in Computational Intelligence Enabled Research ISBN: 9780128228449
Computational intelligence (CI) is a group of techniques for building machine intelligence. These techniques follow a pragmatic approach to learning and decision making rather than a hard approach as in expert systems or rule-based systems. These tec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::536897913870e53a7ce9b0d0d09fec7a
https://doi.org/10.1016/b978-0-12-822844-9.00032-3
https://doi.org/10.1016/b978-0-12-822844-9.00032-3