Shrish Verma

Orcid: 0000-0002-1294-7897

According to our database1, Shrish Verma authored at least 26 papers between 2011 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Computer aided diagnosis system for cervical lymph nodes in CT images using deep learning.
Biomed. Signal Process. Control., 2022

Low Loss Enabled Semi-superjunction 4H-SiC IGBT for High Voltage and Current Application.
Proceedings of the VLSI Design and Test - 26th International Symposium, 2022

RL2NdgsNet: Reinforcement learning based efficient classifier for mediastinal lymph nodes malignancy detection in CT images.
Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022

2021
Improved pulmonary lung nodules risk stratification in computed tomography images by fusing shape and texture features in a machine-learning paradigm.
Int. J. Imaging Syst. Technol., 2021

Performance improvement of P300-based home appliances control classification using convolution neural network.
Biomed. Signal Process. Control., 2021

Severity Assessment of Cervical Lymph Nodes using Modified VGG-Net, and Squeeze and Excitation Concept.
Proceedings of the 11th IEEE Annual Computing and Communication Workshop and Conference, 2021

2020
ACO based comprehensive model for software fault prediction.
Int. J. Knowl. Based Intell. Eng. Syst., 2020

EEG signal analysis and classification on P300 speller-based BCI performance in ALS patients.
Int. J. Medical Eng. Informatics, 2020

Single-Channel Region-Based Speller for Controlling Home Appliances.
Int. J. E Health Medical Commun., 2020

Performance improvement of mediastinal lymph node severity detection using GAN and Inception network.
Comput. Methods Programs Biomed., 2020

Control or Autism - Classification using Convolutional Neural Networks on Functional MRI.
Proceedings of the 11th International Conference on Computing, 2020

CSTA-2P1D UNet: Consecutive Spatio-Temporal Attention for Multi-Scale 3D Pancreas Segmentation.
Proceedings of the 11th International Conference on Computing, 2020

2018
Multi-classifier model for software fault prediction.
Int. Arab J. Inf. Technol., 2018

Detection and Classification of Noise Using Bark Domain Features.
Proceedings of the 6th International Conference on Communications and Broadband Networking, 2018

2017
Fuzzy Rule-Based Approach for Software Fault Prediction.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Augmented intuitive dissimilarity metric for clustering of Web user sessions.
J. Inf. Sci., 2017

2016
Generating Intelligent Summary Terms for Improving Knowledge Discovery in Software Bug Repositories.
Int. J. Softw. Eng. Knowl. Eng., 2016

A Discounted Fuzzy Relational Clustering of Web Users' Using Intuitive Augmented Sessions Dissimilarity Metric.
IEEE Access, 2016

Multivariate Beta Mixture Model for Automatic Identification of Topical Authoritative Users in Community Question Answering Sites.
IEEE Access, 2016

Selecting Best Answer: An Empirical Analysis on Community Question Answering Sites.
IEEE Access, 2016

Topical Authoritative Answerer Identification on Q&A Posts using Supervised Learning in CQA Sites.
Proceedings of the 9th Annual ACM India Conference, 2016

2015
Iterative network-channel decoding with cooperative space-time transmission.
CoRR, 2015

Iterative decoding of FEC based multiple description codes for image transmission over wireless channel.
Proceedings of the Twenty First National Conference on Communications, 2015

2014
A Comparative Study of Bug Classification Algorithms.
Int. J. Softw. Eng. Knowl. Eng., 2014

2012
Joint source-channel decoding of IRA code for hidden Markov source.
Proceedings of the 1st International Conference on Recent Advances in Information Technology, 2012

2011
Comparison between different illumination independent change detection techniques.
Proceedings of the 2011 International Conference on Communication, 2011


  Loading...