Arunachalam Rajesh

According to our database, Arunachalam Rajesh authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

An efficient model of enhanced optimization and dilated-GRU based secured multi-access edge computing with blockchain for VANET sector.

Lavanya Kalidoss, Swapna Thouti, Arunachalam Rajesh, Ramamurthy Pugalenthi

Expert Syst. Appl., 2025

2024

PCSSHO: An implementation of Percentage of Circle Search and Spotted Hyena Optimizer for multi-constraint load balancing and routing framework in FANET.

Poonguzhali Ilango, Nagarajan Sivarajan, Anitha Ravichandran, Arunachalam Rajesh

Int. J. Commun. Syst., 2024

An effective model for network selection and resource allocation in 5G heterogeneous network using hybrid heuristic-assisted multi-objective function.

Shabana Urooj, Arunachalam Rajesh, Mohamad A. Alawad, Kuldeep Narayan Tripathi, Damodaran Sukumaran, Poonguzhali Ilango

Expert Syst. Appl., 2024

Detection and mitigation of vampire attacks with secure routing in WSN using weighted RNN and optimal path selection.

Arunachalam Rajesh, Kanmani Ruby Erode Dhanapal

Comput. Secur., 2024

2023

A smart Alzheimer's patient monitoring system with IoT-assisted technology through enhanced deep learning approach.

Arunachalam Rajesh, Gurram Sunitha, Surendra Kumar Shukla, Surya Nath Pandey, Shabana Urooj, Seema Rawat

Knowl. Inf. Syst., December, 2023

Multi-objective-derived energy efficient routing in wireless sensor networks using hybrid African vultures-cuckoo search optimization.

A. Asha, Arunachalam Rajesh, Neha Verma, I. Poonguzhali

Int. J. Commun. Syst., April, 2023

2022

A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID-19 based on acoustic cough features.

Gurram Sunitha, Arunachalam Rajesh, Mohammed Abd-Elnaby, Mahmoud M. A. Eid, Ahmed Nabih Zaki Rashed

Int. J. Imaging Syst. Technol., 2022

Bipolar fuzzy information-based PROMETHEE-based outranking scheme for mitigating vampire attack in wireless sensor networks.

Arunachalam Rajesh, Esther Rani Perumal

Trans. Emerg. Telecommun. Technol., 2022

Ensemble of weighted deep concatenated features for the skin disease classification model using modified long short term memory.

Mohamed A. Elashiri, Arunachalam Rajesh, Surya Nath Pandey, Surendra Kumar Shukla, Shabana Urooj, Aimé Lay-Ekuakille

Biomed. Signal Process. Control., 2022

2021

A deep neural network learning-based speckle noise removal technique for enhancing the quality of synthetic-aperture radar images.

Mohan Ellappan, Arunachalam Rajesh, Gurram Sunitha, Reddy Madhavi Konduru, Janagaraj Avanija, Loganathan Ganesh Babu

Concurr. Comput. Pract. Exp., 2021