11 citations · 44 across the 17 of their papers we have counts for
20 papers
A Comparative Study of Text Embedding Models for Semantic Text Similarity in Bug Reports
Avinash Patil, Kihwan Han, Aryan Jadon
Bug reports are an essential aspect of software development, and it is crucial to identify and resolve them quickly to ensure the consistent functioning of software systems. Retrie…
Hierarchical Bayesian state-space modeling of age- and sex-structured wildlife population dynamics
Sabyasachi Mukhopadhyay, Hans-Peter Piepho, Sourabh Bhattacharya +2
Biodiversity is declining at alarming rates worldwide, including for large wild mammals. It is therefore imperative to develop effective population conservation and recovery strate…
Cancer Detection Using Quantum Neural Networks: A Demonstration on a Quantum Computer
Nilima Mishra, Aradh Bisarya, Shubham Kumar +3
Artificial intelligence and machine learning paves the way to achieve greater technical feats. In this endeavor to hone these techniques, quantum machine learning is budding to ser…
Multiclass Classification of Cervical Cancer Tissues by Hidden Markov Model
Sabyasachi Mukhopadhyay, Sanket Nandan, Indrajit Kurmi
In this paper, we report a hidden Markov model based multiclass classification of cervical cancer tissues. This model has been validated directly over time series generated by the…
Application of S-Transform on Hyper kurtosis based Modified Duo Histogram Equalized DIC images for Pre-cancer Detection
Sabyasachi Mukhopadhyay, Soham Mandal, Sawon Pratiher +4
Our proposed hyper kurtosis based histogram equalized DIC images enhances the contrast by preserving the brightness. The evolution and development of precancerous activity among ti…
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
Sabyasachi Mukhopadhyay, Soham Mandal, Sawon Pratiher +4
In this paper, a comparative study between proposed hyper kurtosis based modified duo-histogram equalization (HKMDHE) algorithm and contrast limited adaptive histogram enhancement…
Wavelet based approach for tissue fractal parameter measurement: Pre cancer detection
Sabyasachi Mukhopadhyay, Nandan K. Das, Soham Mandal +5
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…
Diagnosing Heterogeneous Dynamics for CT Scan Images of Human Brain in Wavelet and MFDFA domain
Sabyasachi Mukhopadhyay, Soham Mandal, Nandan K Das +4
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. The vertical and hor…
A comparative study between seasonal wind speed by Fourier and Wavelet analysis
Sabyasachi Mukhopadhyay, Debadatta Dash, Asish Mitra +1
Wind Energy is a useful resource for Renewable energy purpose. Wind speed plays a vital role for wind energy calculation of certain location. So, it is very much necessary to know…
Wavelet and Fast Fourier Transform based analysis of Solar Image
Sabyasachi Mukhopadhyay, Debadatta Dash, Swapnil Barmase +1
Both of Wavelet and Fast Fourier Transform are strong signal processing tools in the field of Data Analysis. In this paper fast fourier transform (FFT) and Wavelet Transform are em…
Wavelet Transform-Based Analysis of QRS complex in ECG Signals
Swapnil Barmase, Saurav Das, Sabyasachi Mukhopadhyay
In the present paper we have reported a wavelet based time-frequency multiresolution analysis of an ECG signal. The ECG (electrocardiogram), which records hearts electrical activit…
Clustering Categorical Time Series into Unknown Number of Clusters: A Perfect Simulation based Approach
Sabyasachi Mukhopadhyay, Sourabh Bhattacharya
Pamminger and Fruwirth-Schnatter (2010) considered a Bayesian approach to model-based clustering of categorical time series assuming a fixed number of clusters. But the popular met…
An Improved Bayesian Semiparametric Model for Palaeoclimate Reconstruction: Cross-validation Based Model Assessment
Sabyasachi Mukhopadhyay, Sourabh Bhattacharya
Fossil-based palaeoclimate reconstruction is an important area of ecological science that has gained momentum in the backdrop of the global climate change debate. The hierarchical…
Application of Fourier and Wavelet Transform for analysing 300 years Sunspot numbers to Explain the Solar Cycles
Sabyasachi Mukhopadhyay, Debadatta Dash, Asish Mitra +1
In this paper Fourier Transform and Wavelet Transform are applied in case of recent 300 years of sunspot numbers to explain the solar cycles. Here basically parallel study of Fouri…
Application of Vertex coloring in a particular triangular closed path structure and in Krafts inequality
Sabyasachi Mukhopadhyay, Paritosh Bhattacharya, B. B. Ghosh
A good deal of research has been done and published on coloring of the vertices of graphs for several years while studying of the excellent work of those maestros, we get inspire t…
Wind Speed Data Analysis for Various Seasons during a Decade by Wavelet and S transform
Sabyasachi Mukhopadhyay, Prasanta K Panigrahi
The appropriate weather prediction is a challenging task and it can be feasible with proper wind speed fluctuation analysis. In this current paper daubechies-4 wavelet is used to a…
Bayesian MISE convergence rates of Polya urn based density estimators: asymptotic comparisons and choice of prior parameters
Sabyasachi Mukhopadhyay, Sourabh Bhattacharya
Mixture models are well-known for their versatility, and the Bayesian paradigm is a suitable platform for mixture analysis, particularly when the number of components is unknown. B…
On Bayesian "central clustering": Application to landscape classification of Western Ghats
Sabyasachi Mukhopadhyay, Sourabh Bhattacharya, Kajal Dihidar
Landscape classification of the well-known biodiversity hotspot, Western Ghats (mountains), on the west coast of India, is an important part of a world-wide program of monitoring b…
Perfect Simulation for Mixtures with Known and Unknown Number of components
Sabyasachi Mukhopadhyay, Sourabh Bhattacharya
We propose and develop a novel and effective perfect sampling methodology for simulating from posteriors corresponding to mixtures with either known (fixed) or unknown number of co…
Fast Bayesian Semiparametric Curve-Fitting and Clustering in Massive Data With Application to Cosmology
Sabyasachi Mukhopadhyay, Sisir Roy, Sourabh Bhattacharya
Recent technological advances have led to a flood of new data on cosmology rich in information about the formation and evolution of the universe, e.g., the data collected in Sloan…