Gobalakrishnan Natesan
Orcid: 0000-0003-2902-1553
According to our database1,
Gobalakrishnan Natesan
authored at least 15 papers
between 2018 and 2024.
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Bibliography
2024
GAN-enhanced E-nose analysis: VTAAE for temporal dynamics in beef quality assessment.
Evol. Syst., December, 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
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
DCCWOA: A multi-heuristic fault tolerant scheduling technique for cloud computing environment.
Peer Peer Netw. Appl., March, 2023
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
Multi-objective moth swarm based sailfish model for optimal routing in wireless sensor network.
Concurr. Comput. Pract. Exp., 2022
Bee optimization based random double adaptive whale optimization model for task scheduling in cloud computing environment.
Comput. Commun., 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
Multi-Objective Task Scheduling Using Hybrid Whale Genetic Optimization Algorithm in Heterogeneous Computing Environment.
Wirel. Pers. Commun., 2020
An improved grey wolf optimization algorithm based task scheduling in cloud computing environment.
Int. Arab J. Inf. Technol., 2020
2019
Task scheduling in heterogeneous cloud environment using mean grey wolf optimization algorithm.
ICT Express, 2019
2018
A New Multi-Objective Optimal Programming Model for Task Scheduling using Genetic Gray Wolf Optimization in Cloud Computing.
Comput. J., 2018