Sreenivas Sremath Tirumala

Orcid: 0000-0002-8479-4359

According to our database1, Sreenivas Sremath Tirumala authored at least 25 papers between 2014 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Raspberry Pi-Based Intelligent Cyber Defense Systems for SMEs: An Exploratory Study.
Proceedings of the Science and Technologies for Smart Cities, 2021

2020
Evolving deep neural networks using coevolutionary algorithms with multi-population strategy.
Neural Comput. Appl., 2020

FireNot - An IoT based Fire Alerting System: Design and Implementation.
J. Ambient Intell. Smart Environ., 2020

Evaluation of Feature and Signature based Training Approaches for Malware Classification using Autoencoders.
Proceedings of the 2020 International Conference on COMmunication Systems & NETworkS, 2020

2019
Classification and diagnostic prediction of prostate cancer using gene expression and artificial neural networks.
Neural Comput. Appl., 2019

An Investigation on Ability of Pre-trained Convolutional Neural Networks Trained on ImageNet to Classify Melanoma Images Without Re-training.
Proceedings of the Intelligent Technologies and Applications, 2019

FireNot - An IoT Based Fire Alerting System: Design and Implementation.
Proceedings of the Intelligent Technologies and Applications, 2019

2018
A Deep Neural Network Approach for Classification of Watermarked and Non-watermarked Images.
Proceedings of the Intelligent Technologies and Applications, 2018

A Technical Evaluation of Neo4j and Elasticsearch for Mining Twitter Data.
Proceedings of the Advances in Computing and Data Science, 2018

2017
Speaker identification features extraction methods: A systematic review.
Expert Syst. Appl., 2017

A Deep Autoencoder approach for Speaker Identification.
Proceedings of the 9th International Conference on Signal Processing Systems, 2017

2016
A survey on internet usage and cybersecurity awareness in students.
Proceedings of the 14th Annual Conference on Privacy, Security and Trust, 2016

Attribute Selection and Classification of Prostate Cancer Gene Expression Data Using Artificial Neural Networks.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

A review on Deep Learning approaches in Speaker Identification.
Proceedings of the 8th International Conference on Signal Processing Systems, 2016

Performance Analysis of SVM ensemble methods for Air Pollution Data.
Proceedings of the 8th International Conference on Signal Processing Systems, 2016

Evolving deep neural networks: A new prospect.
Proceedings of the 12th International Conference on Natural Computation, 2016

Light-adaptive face registration based on drivers' video.
Proceedings of the 15th IEEE International Conference on Cognitive Informatics & Cognitive Computing , 2016

2015
Hierarchical Data Classification Using Deep Neural Networks.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Free and open source intrusion detection systems: A study.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

Ensemble learning methods for decision making: Status and future prospects.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

Analysis and Prevention of Account Hijacking Based INCIDENTS in Cloud Environment.
Proceedings of the 2015 International Conference on Information Technology, 2015

2014
Quantum Inspired Evolutionary Algorithm by Representing Candidate Solution as Normal Distribution.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Implementation of Evolutionary Algorithms for Deep Architectures.
Proceedings of the Second International Workshop on Artificial Intelligence and Cognition (AIC 2014), 2014

A pattern recognition for group abnormal behaviors based on Markov Random Fields energy.
Proceedings of the IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing, 2014

A new biological visual cognitive behavioural modeling for video energy computing.
Proceedings of the IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing, 2014


  Loading...