Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Kalyan Dutta"'
Autor:
Kalyan Dutta, Hemonta Dutta
Publikováno v:
Journal of Pediatric Surgery Case Reports, Vol 65, Iss , Pp 101749- (2021)
Cushing's syndrome is a rare entity in children. Adrenal tumour is the common cause of this syndrome in young children, whereas, iatrogenic causes are more common among older children. We report a 4 year old male child diagnosed with Cushing syndrome
Externí odkaz:
https://doaj.org/article/2297e3d757f0496b9163070df227d539
Publikováno v:
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC).
Publikováno v:
2021 Sixth International Conference on Fog and Mobile Edge Computing (FMEC).
Publikováno v:
2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).
Publikováno v:
2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).
Publikováno v:
2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).
Autor:
Hemonta Kr. Dutta, Kalyan Dutta
Publikováno v:
Journal of Pediatric Surgery Case Reports, Vol 65, Iss, Pp 101749-(2021)
Cushing's syndrome is a rare entity in children. Adrenal tumour is the common cause of this syndrome in young children, whereas, iatrogenic causes are more common among older children. We report a 4 year old male child diagnosed with Cushing syndrome
Publikováno v:
UEMCON
Increasing the performance of a Generative Adversarial Network (GAN) requires experimentation in choosing the suitable training hyper-parameters of learning rate and batch size. There is no consensus on learning rates or batch sizes in GANs, which ma
Publikováno v:
UEMCON
In the Information Age, the majority of data stored and transferred is digital; however, current security systems are not powerful enough to secure this data because they do not anticipate unknown attacks. With a growing number of attacks on cybersec
Publikováno v:
ISNCC
A recent study [1] and our experimental results show that a Neural Network(NN) often learns the most important features early during training. This results in accuracy during training to follow similar curves in each case. The magnitude of weight upd