Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Debanjali Sarkar"'
Publikováno v:
IEEE Access, Vol 11, Pp 19645-19656 (2023)
Machine learning (ML) has gained recognition as an efficient and robust technique to realize the solution of electromagnetic forward and inverse problems. This article introduces a hybrid ML framework that simultaneously acts as a forward and inverse
Externí odkaz:
https://doaj.org/article/4dd9aac47ee94ece9a57aa2137f3824c
Autor:
Soumya Patra, Mithun C Konar, Rajarshi Basu, Ajoy K Khaowas, Soumyadeep Dutta, Debanjali Sarkar
Publikováno v:
Indian Journal of Endocrinology and Metabolism, Vol 16, Iss 2, Pp 300-302 (2012)
Bartter syndrome is a rare hereditary (autosomal recessive) salt-losing tubulopathy characterized by hypokalemia, hypochloremia, metabolic alkalosis, and normal blood pressure with hyperreninemia, The underlying renal abnormality results in excessive
Externí odkaz:
https://doaj.org/article/778647b8f34f4649bb1a1b517fc44414
Autor:
Debanjali Sarkar
Publikováno v:
Indian Journal of Endocrinology and Metabolism, Vol 16, Iss 8, Pp 350-351 (2012)
Purpose of the Review: Thyroid disturbances are common in women during their reproductive years. Thyroid dysfunction interferes with human reproductive physiology, reduces the likelihood of pregnancy and adversely affects pregnancy outcome, thus beco
Externí odkaz:
https://doaj.org/article/2d1b4349a35b482db97cfce2500eca43
Publikováno v:
Artificial Intelligence Review. 56:655-684
Autor:
Debanjali Sarkar, Taimoor Khan
Publikováno v:
IEEE Microwave Magazine. 23:32-35
Publikováno v:
International Journal of Microwave and Wireless Technologies. 14:1326-1337
Optimization of hyperparameters of artificial neural network (ANN) usually involves a trial and error approach which is not only computationally expensive but also fails to predict a near-optimal solution most of the time. To design a better optimize
Publikováno v:
2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI).
Publikováno v:
IET Microwaves, Antennas & Propagation. 14:1396-1403
This study introduces modelling of multi-adaptive neuro-fuzzy inference system (MANFIS) for predicting the bandwidth and notch frequencies of slotted ultra-wideband (UWB) antennas. Rectangular-shaped printed monopole antennas embedded with U-shaped s
Publikováno v:
International Journal of Electronics. 107:2068-2083
In this paper, a multi-parametric analysis modelling for an ultra-wideband (UWB) antenna using artificial neural networks is proposed to predict both the UWB impedance bandwidth and multi-band notc...
Publikováno v:
2022 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM).