S. Supreeth

Orcid: 0000-0002-7097-6733

According to our database1, S. Supreeth authored at least 13 papers between 2022 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Hybrid RNN Based Text Classification Model for Unstructured Data.
SN Comput. Sci., August, 2024

Enhanced Hybrid Intrusion Detection System with Attention Mechanism using Deep Learning.
SN Comput. Sci., June, 2024

Virtual Machine Placement Using Adam White Shark Optimization Algorithm in Cloud Computing.
SN Comput. Sci., January, 2024

A Visual Computing Unified Application Using Deep Learning and Computer Vision Techniques.
Int. J. Interact. Mob. Technol., January, 2024

An RNN-Bi LSTM Based Multi Decision GAN Approach for the Recognition of Cardiovascular Disease (CVD) From Heart Beat Sound: A Feature Optimization Process.
IEEE Access, 2024

2023
An Efficient Framework for Web Content Mining Systems Using Improved CD-PAM Clustering and the A-CNN Technique.
SN Comput. Sci., September, 2023

Secured Wireless Network Based on a Novel Dual Integrated Neural Network Architecture.
J. Electr. Comput. Eng., 2023

Design and Development of Walking Monitoring System for Gait Analysis.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2023

2022
Resource Allocation Using Weighted Greedy Knapsack Based Algorithm in an Educational Fog Computing Environment.
Int. J. Emerg. Technol. Learn., September, 2022

Hybrid Genetic Algorithm and Modified-Particle Swarm Optimization Algorithm (GA-MPSO) for Predicting Scheduling Virtual Machines in Educational Cloud Platforms.
Int. J. Emerg. Technol. Learn., April, 2022

An Efficient Policy-Based Scheduling and Allocation of Virtual Machines in Cloud Computing Environment.
J. Electr. Comput. Eng., 2022

VM Scheduling for Efficient Dynamically Migrated Virtual Machines (VMS-EDMVM) in Cloud Computing Environment.
KSII Trans. Internet Inf. Syst., 2022

Mayfly Taylor Optimisation-Based Scheduling Algorithm with Deep Reinforcement Learning for Dynamic Scheduling in Fog-Cloud Computing.
Appl. Comput. Intell. Soft Comput., 2022


  Loading...