Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ramanjaneyulu Kongara"'
Publikováno v:
Brazilian Archives of Biology and Technology, Vol 65 (2022)
Abstract Classification of viruses is an essential step before suitable treatment of a disease. In this work, a novel approach for the classification of virus texture from TEM images is proposed. Chebyshev moments are used to classify virus textures
Externí odkaz:
https://doaj.org/article/9f412eccd8de467b8edf69d5a158dd2c
Autor:
Muhammad Zubair, M. Umesh Kumar Naik, Mohammad Fareeda Madeen Gouher, Shaik Rafi Ahamed, Maria Vladimirovna Belykh, Ramanjaneyulu Kongara, Shani Vishwakarma
Publikováno v:
IEEE Sensors Journal. 21:16861-16869
Epilepsy is a neurological condition that affects the central nervous system. While its effects are different for each person, they mostly include abnormal behaviour, periods of loss of awareness and seizures. There are various traditional methods us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef795c6d607b53c6499f9b0423c6202f
https://doi.org/10.1109/jsen.2021.3077578
https://doi.org/10.1109/jsen.2021.3077578
Publikováno v:
International Journal of Recent Technology and Engineering. 8:962-966
To achieve a sen sational mistake adjusting capability, the 0.33 generation Partnership challenge (3GPP) prolonged haul improvement (LTE) makes use of speedy codes as its in advance blunder rectifying (FEC) modern day. moreover, to benefit better thr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::485fc067138f48c67986c8120bc82b6f
https://doi.org/10.35940/ijrte.b1184.0882s819
https://doi.org/10.35940/ijrte.b1184.0882s819
Publikováno v:
2020 IEEE Bombay Section Signature Conference (IBSSC).
In this work, a deep learning methodology for accurate classification of histological images of the patients suffering from childhood medulloblastoma is proposed. Pre trained EfficientNets trained on the ImageNet dataset are considered in this work.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb1eb72c2239103f27b70ec0a19067f4
https://doi.org/10.1109/ibssc51096.2020.9332175
https://doi.org/10.1109/ibssc51096.2020.9332175