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Arunachalam Rajesh
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2020 – today
- 2026
[j27]Sudha Muthusamy, Rajesh Arunachalam, Karthikayen Arunachalam
, Sumanth Venugopal:
Fuzzy computation on ensemble deep network for the performance of vampire attack detection model in WSN. EURASIP J. Wirel. Commun. Netw. 2026(1): 2 (2026)
[j26]Sayila Subrahmanyam, Rajesh Arunachalam, Swapna Thouti
, S. N. V. Jyotsna Devi Kosuru, J. Rajalakshmi, Preethi Palanisamy:
Blockchain access control with consensus algorithm considering optimal members and president election process for secured data sharing on software Defined wireless body area networks using data encryption. Expert Syst. Appl. 297: 129430 (2026)
[j25]Kiran Bharadwaj Vedula, Rajesh Arunachalam
:
IoT-ethereum blockchain-enabled privacy-preserved framework for pest detection and smart irrigation using adaptive residual Densenet-ASPP with spatial attention. Expert Syst. Appl. 313: 131517 (2026)
[j24]Rajesh Arunachalam, Gurram Sunitha, Shabana Urooj, Mohamed A. Elashiri, Seema Rawat, Damodaran Sukumaran:
Hybrid Optimization-Based Unsupervised Clustering for the Internet of Medical Things: A Multi-Objective Medical Data Clustering Framework. Wirel. Pers. Commun. 146(6): 3605-3630 (2026)- 2025
[j23]Rama Parvathy
, Arunachalam Rajesh
, Damodaran Sukumaran, Muna Al-Razgan, Yasser A. Ali, Yogapriya J
:
An intellectual autism spectrum disorder classification framework in healthcare industry using ViT-based adaptive deep learning model. Biomed. Signal Process. Control. 106: 107737 (2025)
[j22]Shabana Urooj, Rajesh Arunachalam, Neha Verma
, Priyanka Bhutani, Girija Sravani Kondaveeti, Aimé Lay-Ekuakille:
An intelligent heart disease prediction framework by optimal feature integration with multi serial cascaded adaptive dilated network using heuristic improvement. Eng. Appl. Artif. Intell. 158: 111379 (2025)
[j21]R. Nandakumar
, Rajesh Arunachalam, Ramamurthy Pugalenthi, Karthikayen Arunachalam
:
Automatic model of sleep apnea detection using optimized weighted fusion process of hybrid convolution (1D/2D) efficient attention network from EEG signals. EURASIP J. Adv. Signal Process. 2025(1): 18 (2025)
[j20]Lavanya Kalidoss, Swapna Thouti
, Arunachalam Rajesh, Ramamurthy Pugalenthi:
An efficient model of enhanced optimization and dilated-GRU based secured multi-access edge computing with blockchain for VANET sector. Expert Syst. Appl. 260: 125275 (2025)
[j19]Kulandaivelu Gunasekaran
, Neha Verma
, Rajesh Arunachalam
, Muthusamy Dhurgadevi:
An innovative and adaptive deep Markov random field-based retailing prediction framework in big data analytics with improved mud ring optimizer. Expert Syst. Appl. 270: 126489 (2025)
[j18]P. Kalyanasundaram
, Rajesh Arunachalam, Mohan Ellappan, P. Sherubha:
A Hybrid Meta-Heuristic Approach-Aided Optimal Cluster Head Selection and Multi-Objective Derivation for Energy Efficient Routing Protocol in Wireless Sensor Network. Trans. Emerg. Telecommun. Technol. 36(7) (2025)
[j17]Sayila Subrahmanyam, Rajesh Arunachalam, Surendra Kumar Shukla
, Shakeel Ahmed, Sumanth Venugopal, Preethi Palanisamy:
Blockchain-Enabled Edge Computing for Secure and Intelligent Decision-Making in Vehicular Ad Hoc Networks Using Deep Deterministic Policy Gradient. Int. J. Comput. Intell. Syst. 18(1): 288 (2025)
[j16]Shabana Urooj, Arunachalam Rajesh
, Kuldeep Narayan Tripathi, Damodaran Sukumaran, Karthikayen Arunachalam
:
HS-WOA: A Hybrid Metaheuristic Approach-Aided Multiobjective Constraints for Dual Cluster Head Selection in Wireless Sensor Network. Int. J. Commun. Syst. 38(3): nla (2025)
[j15]Samta Jain Goyal, Rajeev Goyal, Vinay Kumar Singh
, Rajesh Arunachalam, Kuldeep Narayan Tripathi:
Privacy-preserving cross-domain recommendation using hybrid federated transfer learning. Multim. Tools Appl. 84(18): 19343-19377 (2025)
[j14]Revathi Mohan, Rajesh Arunachalam, Neha Verma
, Thomas Bernatin:
ViT-FusCNN: vision transformer-based weighted fusion of convolution networks for Alzheimer's disease detection from MRI images with enhanced mother optimization. Signal Image Video Process. 19(7): 555 (2025)
[j13]N. Saravanan, Arunachalam Rajesh, A. Sahaya Anselin Nisha
, Karthikayen Arunachalam
:
An innovative energy efficient routing protocol in MANET with hybridized osprey-fire hawk optimization algorithm to attain optimal routing constraints. Wirel. Networks 31(3): 2005-2026 (2025)
[j12]Sudha Muthusamy, Kanmani Ruby Erode Dhanapal, Arunachalam Rajesh, Kalamani Chinnappa:
An improved distance vector hop algorithm and A* algorithm with modified supernova optimizer for 3-dimensional localization in wireless sensor networks. Wirel. Networks 31(3): 2827-2846 (2025)- 2024
[j11]Weiwei Hu, Kiran Sree Pokkuluri
, Rajesh Arunachalam, Bander A. Jabr, Yasser A. Ali, Preethi Palanisamy:
RSSI-Based 3D Wireless Sensor Node Localization Using Hybrid T Cell Immune and Lotus Optimization. Comput. Mater. Continua 81(3): 4833-4851 (2024)
[j10]Arunachalam Rajesh, Kanmani Ruby Erode Dhanapal:
Detection and mitigation of vampire attacks with secure routing in WSN using weighted RNN and optimal path selection. Comput. Secur. 145: 103991 (2024)
[j9]Shabana Urooj, Arunachalam Rajesh
, Mohamad A. Alawad
, Kuldeep Narayan Tripathi
, Damodaran Sukumaran, Poonguzhali Ilango
:
An effective model for network selection and resource allocation in 5G heterogeneous network using hybrid heuristic-assisted multi-objective function. Expert Syst. Appl. 248: 123307 (2024)
[j8]Poonguzhali Ilango
, Nagarajan Sivarajan
, Anitha Ravichandran, Arunachalam Rajesh
:
PCSSHO: An implementation of Percentage of Circle Search and Spotted Hyena Optimizer for multi-constraint load balancing and routing framework in FANET. Int. J. Commun. Syst. 37(9) (2024)
[j7]Asha Ayyappan, Rajesh Arunachalam, Manivel Lenin Kumar:
Adaptive fuzzy-based node communication performance prediction with hybrid heuristic Cluster Head selection framework in WSN using enhanced K-means clustering mechanism. J. Ambient Intell. Smart Environ. 16(3): 309-335 (2024)- 2023
[j6]A. Asha
, Arunachalam Rajesh
, Neha Verma
, I. Poonguzhali
:
Multi-objective-derived energy efficient routing in wireless sensor networks using hybrid African vultures-cuckoo search optimization. Int. J. Commun. Syst. 36(6) (2023)
[j5]Arunachalam Rajesh, Gurram Sunitha, Surendra Kumar Shukla
, Surya Nath Pandey
, Shabana Urooj, Seema Rawat:
A smart Alzheimer's patient monitoring system with IoT-assisted technology through enhanced deep learning approach. Knowl. Inf. Syst. 65(12): 5561-5599 (2023)- 2022
[j4]Mohamed A. Elashiri
, Arunachalam Rajesh, Surya Nath Pandey
, Surendra Kumar Shukla
, Shabana Urooj, Aimé Lay-Ekuakille:
Ensemble of weighted deep concatenated features for the skin disease classification model using modified long short term memory. Biomed. Signal Process. Control. 76: 103729 (2022)
[j3]Arunachalam Rajesh, Esther Rani Perumal:
Bipolar fuzzy information-based PROMETHEE-based outranking scheme for mitigating vampire attack in wireless sensor networks. Trans. Emerg. Telecommun. Technol. 33(9) (2022)
[j2]Gurram Sunitha, Arunachalam Rajesh
, Mohammed Abd-Elnaby, Mahmoud M. A. Eid, Ahmed Nabih Zaki Rashed
:
A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID-19 based on acoustic cough features. Int. J. Imaging Syst. Technol. 32(5): 1433-1446 (2022)- 2021
[j1]Mohan Ellappan
, Arunachalam Rajesh
, Gurram Sunitha, Reddy Madhavi Konduru
, Janagaraj Avanija
, Loganathan Ganesh Babu
:
A deep neural network learning-based speckle noise removal technique for enhancing the quality of synthetic-aperture radar images. Concurr. Comput. Pract. Exp. 33(13) (2021)
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last updated on 2026-07-03 02:45 CEST by the dblp team
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