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of 4
pro vyhledávání: '"Fahmida Pervin Brishty"'
Publikováno v:
Flexible and Printed Electronics. 7:015009
Machine learning (ML) as a predictive methodology can potentially reduce the configuration cost and workload of inkjet printing. Inkjet printing has many advantages for additive manufacturing and printed electronics including low cost, scalability, n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02d49e9521a297264f90b78fccdf54a3
https://doi.org/10.1088/2058-8585/ac5a39
https://doi.org/10.1088/2058-8585/ac5a39
Publikováno v:
I. J. of Advances in Scientific Research and Engineering-IJASRE (ISSN: 2454-8006); Vol. 4 No. 7 (2018): Volume 4 Issue 7 July (2018); 97-110
Recently, RNA profiling based on HT sequencing is replacing microarrays for the study of differential gene expression. In practice, millions of ‘reads’ are sequenced from random positions of the input RNAs which are computationally mapped on a re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37ce8bc0f360f0b065ea1c376b659bc5
https://doi.org/10.31695/ijasre.2018.32720
https://doi.org/10.31695/ijasre.2018.32720
Autor:
Fahmida Pervin Brishty, Gerd Grau
Publikováno v:
Flexible and Printed Electronics. 6:035009
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d29f5b7cb5a6323e5962dd25a6b727d
https://doi.org/10.1088/2058-8585/ac1c5c
https://doi.org/10.1088/2058-8585/ac1c5c
Autor:
Fahmida Pervin Brishty, Shahin Akhter
Publikováno v:
2018 10th International Conference on Electrical and Computer Engineering (ICECE).
Induced QT disorder prediction from ECG report using machine learning technique is a new approach. The process is crucial for preventing heartdiseases and removing a broad range of newly invented drugs' after consumption effects. This paper introduce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7eb7ca048c39574302324be401bfcb3
https://doi.org/10.1109/icece.2018.8636730
https://doi.org/10.1109/icece.2018.8636730