Manikandan Nanjappan

Orcid: 0000-0001-7406-1242

According to our database1, Manikandan Nanjappan authored at least 14 papers between 2020 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
A reliable and privacy-preserved federated learning framework for real-time smoking prediction in healthcare.
Frontiers Comput. Sci., 2025

2024
Efficient resource allocation in heterogeneous clouds: genetic water evaporation optimization for task scheduling.
Signal Image Video Process., July, 2024

DeepLG SecNet: utilizing deep LSTM and GRU with secure network for enhanced intrusion detection in IoT environments.
Clust. Comput., July, 2024

Crossover Boosted Grey Wolf Optimizer-based framework for leader election and resource allocation in Intrusion Detection Systems for MANETs.
Trans. Emerg. Telecommun. Technol., May, 2024

2023
Task scheduling based on minimization of makespan and energy consumption using binary GWO algorithm in cloud environment.
Peer Peer Netw. Appl., September, 2023

HFTO: Hybrid Firebug Tunicate Optimizer for Fault Tolerance and Dynamic Task Scheduling in Cloud Computing.
Wirel. Pers. Commun., March, 2023

2022
Soft computing technique with maintenance and controlling for distributed energy using differential evolution based local power distribution system and fuzzy radial basis function neural network.
Sustain. Comput. Informatics Syst., 2022

Electro search optimization based long short-term memory network for mobile malware detection.
Concurr. Comput. Pract. Exp., 2022

Optimization techniques for task scheduling criteria in IaaS cloud computing atmosphere using nature inspired hybrid spotted hyena optimization algorithm.
Concurr. Comput. Pract. Exp., 2022

Hybrid-based novel approach for resource scheduling using MCFCM and PSO in cloud computing environment.
Concurr. Comput. Pract. Exp., 2022

Bee optimization based random double adaptive whale optimization model for task scheduling in cloud computing environment.
Comput. Commun., 2022

CWOA: Hybrid Approach for Task Scheduling in Cloud Environment.
Comput. J., 2022

2021
An Adaptive Neuro-Fuzzy Inference System and Black Widow Optimization Approach for Optimal Resource Utilization and Task Scheduling in a Cloud Environment.
Wirel. Pers. Commun., 2021

2020
An Efficient Kernel FCM and Artificial Fish Swarm Optimization-Based Optimal Resource Allocation in Cloud.
J. Circuits Syst. Comput., 2020


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