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Arunachalam Rajesh
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2020 – today
- 2025
- [j20]Rama Parvathy
, Arunachalam Rajesh
An intellectual autism spectrum disorder classification framework in healthcare industry using ViT-based adaptive deep learning model. Biomed. Signal Process. Control. 106: 107737 (2025) - [j19]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) - [j18]R. Nandakumar
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) - [j17]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) - [j16]Kulandaivelu Gunasekaran
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) - [j15]Shabana Urooj, Arunachalam Rajesh
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) - [j14]Samta Jain Goyal, Rajeev Goyal, Vinay Kumar Singh
Privacy-preserving cross-domain recommendation using hybrid federated transfer learning. Multim. Tools Appl. 84(18): 19343-19377 (2025) - [j13]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) - [j12]N. Saravanan, Arunachalam Rajesh, A. Sahaya Anselin Nisha
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) - [j11]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
- [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
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
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
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
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
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
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
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 2025-07-06 18:40 CEST by the dblp team
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