Manish Kumar Bajpai

Orcid: 0000-0003-2258-2390

According to our database1, Manish Kumar Bajpai authored at least 24 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A novel multi-agent genetic algorithm for limited-view computed tomography.
Expert Syst. Appl., March, 2024

2023
Efficient Machine Learning and Factional Calculus Based Mathematical Model for Early COVID Prediction.
Hum. Centric Intell. Syst., December, 2023

2022
A Deep Learning-Based Approach to Detect Correct Suryanamaskara Pose.
SN Comput. Sci., 2022

Hybrid multiagent based adaptive genetic algorithm for limited view tomography using oppositional learning.
Biomed. Signal Process. Control., 2022

Deep neural network for beam hardening artifacts removal in image reconstruction.
Appl. Intell., 2022

Classification of Lung Nodules based on Transfer Learning with K-Nearest Neighbor (KNN).
Proceedings of the IEEE International Conference on Imaging Systems and Techniques, 2022

2021
Design of Fractional Calculus based differentiator for edge detection in color images.
Multim. Tools Appl., 2021

Kalman filter based short term prediction model for COVID-19 spread.
Appl. Intell., 2021

A priority based genetic algorithm for limited view tomography.
Appl. Intell., 2021

2020
RecDNN: deep neural network for image reconstruction from limited view projection data.
Soft Comput., 2020

Brain tumor detection and segmentation using mesh-free super-diffusive model.
Multim. Tools Appl., 2020

Fractional Crank-Nicolson finite difference method for benign brain tumor detection and segmentation.
Biomed. Signal Process. Control., 2020

Fractional mesh-free linear diffusion method for image enhancement and segmentation for automatic tumor classification.
Biomed. Signal Process. Control., 2020

2019
Mesh free alternate directional implicit method based three dimensional super-diffusive model for benign brain tumor segmentation.
Comput. Math. Appl., 2019

Fractional Order Savitzky-Golay Differentiator based Approach for Mammogram Enhancement.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

Classification of Breast Tissue Density.
Proceedings of the Computer Vision and Image Processing - 4th International Conference, 2019

2018
An efficient algorithm for mass detection and shape analysis of different masses present in digital mammograms.
Multim. Tools Appl., 2018

Mesh-free approach for enhancement of mammograms.
IET Image Process., 2018

A novel approach for enhancement of geometric and contrast resolution properties of low contrast images.
IEEE CAA J. Autom. Sinica, 2018

EFFECTIVE ALGORITHM FOR BENIGN BRAIN TUMOR DETECTION USING FRACTIONAL CALCULUS.
Proceedings of the TENCON 2018, 2018

2017
Globally supported radial basis function based collocation method for evolution of level set in mass segmentation using mammograms.
Comput. Biol. Medicine, 2017

Breast Tissue Density Classification in Mammograms Based on Supervised Machine Learning Technique.
Proceedings of the 10th Annual ACM India Compute Conference, 2017

2015
Fast multi-processor multi-GPU based algorithm of tomographic inversion for 3D image reconstruction.
Int. J. High Perform. Comput. Appl., 2015

Reconstruction of original signal from contaminated signal using fractional order differentiator.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2015


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