Search Results for author: Sabyasachi Mukhopadhyay

Found 7 papers, 0 papers with code

A Survey of using Large Language Models for Generating Infrastructure as Code

no code implementations30 Mar 2024 Kalahasti Ganesh Srivatsa, Sabyasachi Mukhopadhyay, Ganesh Katrapati, Manish Shrivastava

Automation of IaC is a necessity in the present conditions of the Industry and in this survey, we study the feasibility of applying Large Language Models (LLM) to address this problem.

Code Generation

A comparative study between proposed Hyper Kurtosis based Modified Duo-Histogram Equalization (HKMDHE) and Contrast Limited Adaptive Histogram Equalization (CLAHE) for Contrast Enhancement Purpose of Low Contrast Human Brain CT scan images

no code implementations7 Apr 2015 Sabyasachi Mukhopadhyay, Soham Mandal, Sawon Pratiher, Satyasaran Changdar, Ritwik Burman, Nirmalya Ghosh, Prasanta K. Panigrahi

In this paper, a comparative study between proposed hyper kurtosis based modified duo-histogram equalization (HKMDHE) algorithm and contrast limited adaptive histogram enhancement (CLAHE) has been presented for the implementation of contrast enhancement and brightness preservation of low contrast human brain CT scan images.

Wavelet based approach for tissue fractal parameter measurement: Pre cancer detection

no code implementations21 Mar 2015 Sabyasachi Mukhopadhyay, Nandan K. Das, Soham Mandal, Sawon Pratiher, Asish Mitra, Asima Pradhan, Nirmalya Ghosh, Prasanta K. Panigrahi

In this paper, we have carried out the detail studies of pre-cancer by wavelet coherency and multifractal based detrended fluctuation analysis (MFDFA) on differential interference contrast (DIC) images of stromal region among different grades of pre-cancer tissues.

Diagnosing Heterogeneous Dynamics for CT Scan Images of Human Brain in Wavelet and MFDFA domain

no code implementations12 Mar 2015 Sabyasachi Mukhopadhyay, Soham Mandal, Nandan K. Das, Subhadip Dey, Asish Mitra, Nirmalya Ghosh, Prasanta K. Panigrahi

CT scan images of human brain of a particular patient in different cross sections are taken, on which wavelet transform and multi-fractal analysis are applied.

Wavelet and Fast Fourier Transform based analysis of Solar Image

no code implementations30 Oct 2013 Sabyasachi Mukhopadhyay, Debadatta Dash, Swapnil Barmase, Prasanta K. Panigrahi

Both of Wavelet and Fast Fourier Transform are strong signal processing tools in the field of Data Analysis.

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