Akhilesh Kumar Shrivas

According to our database1, Akhilesh Kumar Shrivas authored at least 12 papers between 2013 and 2024.

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

Timeline

2014
2016
2018
2020
2022
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Development of Proposed Model Using Random Forest with Optimization Technique for Classification of Phishing Website.
SN Comput. Sci., December, 2024

Classification of skin lesion images using proposed convolutional neural network.
Int. J. Grid Util. Comput., 2024

2023
Hybrid model for classification of diseases using data mining and particle swarm optimisation techniques.
Int. J. Comput. Sci. Math., 2023

2022
Coronary Artery Disease Classification Using Deep Neural Network and Ensemble Models Optimized by Particle Swarm Optimization.
Int. J. Appl. Metaheuristic Comput., 2022

2021
Design of a Novel Ensemble Model of Classification Technique for Gene-Expression Data of Lung Cancer with Modified Genetic Algorithm.
EAI Endorsed Trans. Pervasive Health Technol., 2021

Development of Proposed Ensemble Model for Spam e-mail Classification.
Inf. Technol. Control., 2021

Robust Text Classifier for Classification of Spam E-Mail Documents with Feature Selection Technique.
Ingénierie des Systèmes d Inf., 2021

2020
Design of Novel ETL Model to Analyse Corona Virus Data.
EAI Endorsed Trans. Pervasive Health Technol., 2020

2018
Development of an efficient classifier using proposed sensitivity-based feature selection technique for intrusion detection system.
Int. J. Inf. Comput. Secur., 2018

Analysis and Comparison of Clustering Techniques for Chronic Kidney Disease With Genetic Algorithm.
Int. J. Comput. Vis. Image Process., 2018

Comparative Study of Classification Models with Genetic Search Based Feature Selection Technique.
Int. J. Appl. Evol. Comput., 2018

2013
Data Mining Approach for Developing Various Models Based on Types of Attack and Feature Selection as Intrusion Detection Systems (IDS).
Proceedings of the Intelligent Computing, 2013


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