Zobrazeno 1 - 10
of 341
pro vyhledávání: '"Sarkar, Subrata"'
Autor:
Srivastava, Sonalika, Sarkar, Subrata
A quantitative analysis illustrating salient features of a Laminar Separation Bubble (LSB), its transition forming coherent structures, and associated heat transfer has been performed on a flat plate for varying free stream turbulence (fst) between 1
Externí odkaz:
http://arxiv.org/abs/2304.06392
Autor:
Sarkar, Subrata
Recovering an unknown vector from its noisy linear measurements is an important problem that arises in many fields. In linear inverse problems, the forward operator is perfectly known, whereas in bilinear inverse problems, the forward operator has so
Autor:
Fayaz, Ufaq, Hussain, Syed Zameer, Naseer, Bazila, Bej, Gopinath, Pal, Abhra, Sarkar, Subrata, Wani, Nazrana Rafique, Mushtaq, Khalid, Yasmin, Salwee, Dhekale, B.S., Richa, Rishi, Manzoor, Sobiya
Publikováno v:
In Food Chemistry: X 30 December 2024 24
Autor:
Dei, Jyotsna, Bhattacharyya, Soumyadeb, Ghosh, Koustuv, Sarkar, Subrata, Pal, Souvik, Mukherjee, Subhankar, Sarkar, Dhruba Jyoti, Ghosh, Alokesh, Bandyopadhyay, Rajib, Das, Basanta Kumar, Behera, Bijay Kumar
Publikováno v:
In Current Research in Biotechnology 2024 7
The advent of Deep Learning models like VGG-16 and Resnet-50 has considerably revolutionized the field of image classification, and by using these Convolutional Neural Networks (CNN) architectures, one can get a high classification accuracy on a wide
Externí odkaz:
http://arxiv.org/abs/2010.11521
Motivated by image recovery in magnetic resonance imaging (MRI), we propose a new approach to solving linear inverse problems based on iteratively calling a deep neural-network, sometimes referred to as plug-and-play recovery. Our approach is based o
Externí odkaz:
http://arxiv.org/abs/2010.11321
Autor:
Das, Brahami, Das, Nirmalya S., Das, Biswajit, Sarkar, Ratna, Sarkar, Subrata, Chattopadhyay, Kalyan Kumar
Publikováno v:
In Materials Today Communications June 2023 35
We consider the problem of jointly recovering the vector $\boldsymbol{b}$ and the matrix $\boldsymbol{C}$ from noisy measurements $\boldsymbol{Y} = \boldsymbol{A}(\boldsymbol{b})\boldsymbol{C} + \boldsymbol{W}$, where $\boldsymbol{A}(\cdot)$ is a kno
Externí odkaz:
http://arxiv.org/abs/1809.00024
Estimating a vector $\mathbf{x}$ from noisy linear measurements $\mathbf{Ax}+\mathbf{w}$ often requires use of prior knowledge or structural constraints on $\mathbf{x}$ for accurate reconstruction. Several recent works have considered combining linea
Externí odkaz:
http://arxiv.org/abs/1806.10466