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2020 – today
- 2023
[c5]Gaurav Srivastava, Mahesh Jangid:
Multi-view Sparse Laplacian Eigenmaps for nonlinear Spectral Feature Selection. ICSSE 2023: 548-553- [i1]Gaurav Srivastava, Mahesh Jangid:
Multi-view Sparse Laplacian Eigenmaps for nonlinear Spectral Feature Selection. CoRR abs/2307.15905 (2023) - 2022
- [j6]Gaurav Srivastava
, Aninditaa Chauhan, Mahesh Jangid, Sandeep Chaurasia:
CoviXNet: A novel and efficient deep learning model for detection of COVID-19 using chest X-Ray images. Biomed. Signal Process. Control. 78: 103848 (2022) - [j5]Sanat Jain, Ashish Jain, Mahesh Jangid:
Classification of cervical cancer using machine learning techniques: a review. Int. J. Bioinform. Res. Appl. 18(6): 505-525 (2022) - 2021
- [j4]Abhishek Masand, Suryansh Chauhan, Mahesh Jangid, Rajesh Kumar, Satyabrata Roy:
ScrapNet: An Efficient Approach to Trash Classification. IEEE Access 9: 130947-130958 (2021) - [c4]Santanu Roy, Shubhajit Panda, Mahesh Jangid:
Modified Reinhard Algorithm for Color Normalization of Colorectal Cancer Histopathology Images. EUSIPCO 2021: 1231-1235
2010 – 2019
- 2018
- [j3]Mahesh Jangid, Sumit Srivastava:
Handwritten Devanagari Similar Character Recognition by Fisher Linear Discriminant and Pairwise Classification. Int. J. Image Graph. 18(4): 1850022:1-1850022:18 (2018) - [j2]Mahesh Jangid, Sumit Srivastava:
Handwritten Devanagari Character Recognition Using Layer-Wise Training of Deep Convolutional Neural Networks and Adaptive Gradient Methods. J. Imaging 4(2): 41 (2018) - 2016
- [c3]Mahesh Jangid, Sumit Srivastava:
Similar handwritten devanagari character recognition by critical region estimation. ICACCI 2016: 1936-1939 - [c2]Mahesh Jangid, Sumit Srivastava:
Accuracy Enhancement of Devanagari Character Recognition by Gray level Normalization. ICCCNT 2016: 25:1-25:5 - [c1]Subith Babu, Mahesh Jangid:
Touching character segmentation of Devanagari script. ICCCNT 2016: 26:1-26:5 - 2015
- [j1]Bhavna Srivastava, Rajeev Srivastava, Mahesh Jangid:
A hybrid model for optimum gene selection and classification. Int. J. Medical Eng. Informatics 7(4): 381-405 (2015)
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