S. Veni

According to our database1, S. Veni authored at least 16 papers between 2016 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
A Competitive Segmentation of the Human Brain using Artificial Neural Network Approach Towards MRI.
Scalable Comput. Pract. Exp., November, 2023

Optimal hyperspectral band selection using robust multi-verse optimization algorithm.
Multim. Tools Appl., April, 2023

GLCM Feature-Based Texture Image Classification Using Machine Learning Algorithms.
Proceedings of the Smart Computer Vision, 2023

2022
Elder emotion classification through multimodal fusion of intermediate layers and cross-modal transfer learning.
Signal Image Video Process., 2022

2021
Robust Classification Technique for Hyperspectral Images Based on 3D-Discrete Wavelet Transform.
Remote. Sens., 2021

The Role of Face Embeddings in Classification of Personality Traits from Portrait Images.
Proceedings of the IEEE Region 10 Conference, 2021

Analysis of Land Cover Type Using Landsat-8 Data.
Proceedings of the Computational Intelligence in Data Science, 2021

2020
Detection and identification of COVID -19 based on chest medical image by using convolutional neural networks.
Int. J. Intell. Networks, 2020

2019
A unified model of video-based human action categorization using Chaotic Quantum Swarm Intelligence on Intuitionistic fuzzy 3D Convolution Neural Network.
Intell. Decis. Technol., 2019

2018
Improving Privacy and Trust in Federated Identity Using SAML with Hash Based Encryption Algorithm.
CoRR, 2018

Driver Assistance through Geo-fencing, Sign Board Detection and Reporting Using Android Smartphone.
Proceedings of the Soft Computing for Problem Solving, 2018

A Comparative Study of Dictionary Learning Algorithms on Speech Recognition Task.
Proceedings of the 2018 International Conference on Advances in Computing, 2018

2017
Hyperspectral crop classification using fusion of spectral, spatial features and vegetation indices: Approach to the big data challenge.
Proceedings of the 2017 International Conference on Advances in Computing, 2017

Detection of pollution content in an urban area using landsat 8 data.
Proceedings of the 2017 International Conference on Advances in Computing, 2017

Big data challenges in airborne hyperspectral image for urban landuse classification.
Proceedings of the 2017 International Conference on Advances in Computing, 2017

2016
Modified gammatone frequency cepstral coefficients to improve spoofing detection.
Proceedings of the 2016 International Conference on Advances in Computing, 2016


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