BHARATHIRAJA NAGU

Scopus Publications

Optimizing Agricultural Disease Detection with Hybrid Weighted Particle Swarm Optimization-based Faster Mask RCNN for Secure Cloud Analysis and Steady Productivity
Muneeshwari Paramasivam, Bharathiraja Nagu, Sellakumar Subramanian, Chandramouli Seetharaman, Rupesh Gupta, Anurag Sinha, Ayodele Lasisi, Quadri Noorulhasan Naveed, Ayushman Srivastava
International Journal of Computational Intelligence Systems, 2026
Agriculture is vital to India’s economy, employing a large portion of the population, yet it faces significant challenges, such as crop diseases that cause substantial financial losses. Advanced technologies, including the Internet of Things (IoT) and cloud computing, offer effective solutions to these challenges. This study proposes a Hybrid Weighted Particle Swarm Optimization–based Faster Mask RCNN (HWPSO-FMRCNN) framework to improve the accuracy and efficiency of plant disease detection while enabling secure cloud-based analysis. Existing methods often suffer from limitations in accuracy, computational efficiency, and data security, which can hinder timely and effective plant disease management in agricultural practices. The proposed approach combines the optimization capability of weighted PSO with the feature extraction and segmentation strengths of FMRCNN for enhanced disease classification. The hybrid deep learning model analyses real-time plant images captured by IoT-enabled image acquisition devices. Cloud infrastructure provides secure storage and large-scale analysis, ensuring scalability and accessibility for farmers. By refining FMRCNN hyperparameters through HWPSO, the model achieves superior detection performance. Experimental results show that HWPSO-FMRCNN outperforms existing approaches, achieving accuracy of 98.3%, precision of 96.4%, recall of 99.9%, and F1-score of 99.1%, improving over the best baseline by 3–4% across metrics. The proposed framework demonstrates robustness, scalability, and efficiency, offering a practical tool for farmers to enhance crop management, reduce yield losses, and promote sustainable agricultural practices.
An efficient hybrid scheduling and virtual machine framework for load balancing in cloud computing architectures
J. Ramaprabha, P. Mahalakshmi, S. Murugesan, Bharathiraja Nagu, Sowjanya Ramisetty, Rupesh Gupta, M. Kathiravan
Ain Shams Engineering Journal, 2026
The proposed work makes several key contributions. First, a hybrid task scheduling strategy is developed using an Artificial Neural Network combined with a Fuzzy Inference System (ANFIS). Tasks are prioritized based on multiple criteria, after which an optimal virtual machine (VM) is allocated. Second, the VM topology is restructured into a Peer-to-Peer (P2P) configuration to simplify and enhance load balancing. Finally, load balancing is achieved through VM migration guided by the Zebra Optimization Algorithm (ZOA). The approach aims to reduce VM overload without increasing queuing or processing time. Performance is evaluated using the CloudSim simulator, considering metrics such as latency, execution time, migration time, number of migrated VMs, load level, and communication overhead. Simulation results demonstrate significant improvements across these parameters. The proposed framework, referred to as HTS-P2P (Hybrid Task Scheduling with Peer-to-Peer virtual machine interaction), integrates intelligent scheduling, decentralized load sharing, and optimized virtual machine migration to improve cloud resource utilization.
Enhancing environmental sustainability through real-time bio-waste detection using YOLOv6-CSP and relevance vector machine for improved waste management
Bharathiraja Nagu, Shonak Bansal, Mohammad Rashed Iqbal Faruque, K.S. Al-mugren
Measurement Journal of the International Measurement Confederation, 2026
Enhancing Road Safety Through Wearable Sensor Technology and Explainable Artificial Intelligence: A Novel Approach To Cognitive Load Monitoring in Driving
Bharathiraja Nagu, Sellakumar Subramanian, Raj Gaurang Tiwari, Ayodeji Olalekan Salau
International Journal of Intelligent Transportation Systems Research, 2025
Advanced predictive analytics for bio-waste management using YOLOv8-SPP to enhance waste prediction and sustainability in smart cities
Selvalakshmi Balasubramanium, Bharathiraja Nagu, Shonak Bansal, Mohammad Rashed Iqbal Faruque, Kholoud Saad Al-mugren
Scientific Reports, 2025
The large volumes of bio-waste pose significant health and sanitation hazards. Effective bio-waste management involves value addition and conversion processes to enable the utilization of municipal biological waste as low-carbon energy sources. This research suggests a new predictive analytics model using the YOLOv8-SPP algorithm for improved waste management. With precise structuring and data processing, YOLOv8-SPP enhances waste identification and segmentation of various wastes with the vision of facilitating proper anticipation of future trends in waste production. The enhanced framework is remarkably 92% accurate in predicting waste production compared to the 78% accuracy achieved with other data types. The deployment also had the effect of the recycling rate growing by 20% and reducing waste treatment expenses by 15%. The findings justify the success of executing state-of-the-art analytics to optimize waste management processes in intelligent cities.
Development of Hybrid Explainable Artificial Intelligence With Swin Vision Transformer Intrusion Detection for Securing VANETs From Attacks
Bharathiraja N, M. S. Minu, Richa Vijay, M. Rajalakshmi, Pellakuri Vidyullatha, K. Balamurugan
Transactions on Emerging Telecommunications Technologies, 2025
Vehicular Ad‐hoc Networks (VANETs) are a cornerstone of Intelligent Transportation Systems (ITS), enabling efficient vehicle‐to‐vehicle and vehicle‐to‐infrastructure communication. However, their open and dynamic nature makes them highly susceptible to security threats such as Distributed Denial of Service (DDoS) attacks and the injection of false data by malicious nodes. Existing security mechanisms often fall short in addressing these challenges due to the real‐time and mobile characteristics of VANETs. This paper proposes a Hybrid Explainable Artificial Intelligence (XAI) framework integrated with a Swin Vision Transformer for robust intrusion detection in VANET environments. The proposed model leverages the Swin Transformer's hierarchical feature extraction capabilities and the interpretability of XAI to accurately classify network nodes based on behavioral and transmission characteristics. Key features such as packet transmission duration, communication regularity, and node status are analyzed to detect anomalies and differentiate between benign and malicious nodes. The inclusion of explainability allows for transparent decision‐making, facilitating trust and understanding in critical automotive applications. Simulation results validate the model's effectiveness in detecting a wide range of attack vectors while maintaining high accuracy and low false‐positive rates. This study contributes to the development of adaptive, intelligent, and trustworthy security solutions for next‐generation vehicular networks operating in complex urban traffic scenarios.
Prediction of banana leaf disease by intelligent algorithm through digital image using neural network technique
Bharathiraja Nagu, Gaganpreet Kaur, Murugesan Shanmugavelu, Veeramanickam M.R.M
Multimedia Tools and Applications, 2025
Human-machine interaction in mechanical systems through sensor enabled wearable augmented reality interfaces
K. Balamurugan, G. Sudhakar, Kavin Francis Xavier, N. Bharathiraja, Gaganpreet Kaur
Measurement Sensors, 2025
The research improves mechanical systems by using wearable sensor-based Augmented Reality (AR) interfaces for better Human-Machine Interaction (HCI). Industrial AR systems currently face problems created by their static programming methods along with delayed responsiveness and restricted sensor collectability and insufficient wireless throughput that results in system inefficiency and elevated stress on users. A new wearable AR system using gloves with haptic feedback and flex sensors with Inertial Measurement Units provides precise gesture-control while displaying real-time contextual information. The dynamic gesture recognition system uses Random Forest as its lightweight machine learning model to achieve 93.4% accuracy in mapping gestures to command sequences which represents a 14.6% enhancement above conventional static models. The system leverages Edge Computing for low-latency processing (average latency < 47 ms) and cloud-based analytics for predictive maintenance insights. The proposed setup demonstrated an enhanced industrial performance in a simulated environment through error reduction by 22.3% along with a 31.1% increase in task speed and a 27.8% improvement in situational awareness recorded through NASA-TLX cognitive load evaluations. Findings prove that the system fills fundamental weaknesses with current AR-assisted industrial HCI systems by providing automatic adaptation features along with improved safety measures and precise operational capability.
Optimizing Motion in Nanoscale Robotics: A Hybrid WQPSO-Fuzzy Logic Approach for Dynamic Path Planning
Praveen MURUGAIAH, Dhandapani SAMIAPPAN, Bharathiraja NAGU
Studies in Informatics and Control, 2025
Advancing transport safety with faster pre-convoluted neural networks and lightweight multi-scale fusion for driver distraction detection
M. Joel John, K. Dinakaran, N. Bharathiraja
International Journal of Heavy Vehicle Systems, 2025
Automated vehicle technology aims to improve driving safety by removing human errors but driver distraction remains an issue, spurring interest in driver-assistance systems that recognise and support safe driver activities. Complex model topologies enable convolutional neural networks (CNN) to acquire more data characteristics but reduce generalisation and risk overfitting; despite regularisation methods, improving generalisation performance in robust CNN training remains a concern. For classifying and detecting driver distraction, an architecture based on Faster Pre-convoluted neural networks (FPCNN) is suggested in this research. An efficient P-FRNN with excellent accuracy is built, and a novel lightweight multi-scale fusion (LMF) architecture is presented to create intensive convolutional networks for multi-scale image increased generalisation performance. To improve the generalization effectiveness of deep learning models for driver distraction created using raw data from various activity monitors and the proposed design proved accurate to 97.8% and resulted in reduced computational complexity and shorter training times.
Enhancing autonomous vehicle security in intelligent transportation systems through quantum computing and optimisation based federated learning
S. Sellakumar, Kavin FrancisXavier, Pradeepa Karuppaiah, N. Bharathiraja
International Journal of Heavy Vehicle Systems, 2025
Strategic integration of machine learning for fraud detection in e-commerce transactions
P. Vijayalakshmi, K. Subashini, B. Selvalakshmi, G. Sudhakar, Anand Anbalagan, N. Bharathiraja, Gaganpreet Kaur
Strategic Innovations of AI and ml for E Commerce Data Security, 2024
IoT Sensor Data Retrieval and Analysis in Cloud Environments for Enhanced Power Management
Arulkumar V, Kavin F., Arul Kumar D, Bharathiraja Nagu
Journal of Advanced Research in Applied Sciences and Engineering Technology, 2024
Secured intelligent transportation with privacy retention through blockchain framework
Gaganpreet Kaur, M. Shobana, F. Kavin, S. Sellakumar, D. Meenakshi, N. Bharathiraja
Journal of Intelligent and Fuzzy Systems, 2024
RETRACTION:Accurate artificial intelligence method for abnormality detection of CT liver images
R.M. Rani, B. Dwarakanath, M. Kathiravan, S. Murugesan, N. Bharathiraja, M. Vinoth Kumar
Journal of Intelligent and Fuzzy Systems, 2024
Integration of cloud-based scheme with industrial wireless sensor network for data publishing in privacy of point source
N.V. Ravindhar, S. Sasikumar, N. Bharathiraja
International Journal of Cloud Computing, 2024
Optimizing Object Detection in Bio-Waste Management with Improved Hyperbolic Tangent YOLOv5 and Binarization-Adapted K-Means Algorithm
Murugesan Shanmugavelu, Kavin Francisxavier, Bharathiraja Nagu, Raj Tiwari, M Ahmed, et al.
Global Nest Journal, 2024
ANALYSING THE IMPACT OF 3D PRINTING PROCESS PARAMETERS ON THE MECHANICAL PROPERTIES OF ONYX AND THEIR RELATIONSHIP WITH MATERIAL HARDNESS
Journal of Environmental Protection and Ecology, 2024
Solar Energy Forecasting With Performance Optimization Using Machine Learning Techniques
Murugesan S, M. Mahasree, F. Kavin, N. Bharathiraja
Electric Power Components and Systems, 2024
Java-Powered Digital Healthcare Management: innovating Medical Administration Systems
M. Kathiravan, I. Lakshmi, V. Sathya Durga, S. Saravanan, M. Vijayakumar, N. Bharathiraja
Proceedings International Conference on Computing Power and Communication Technologies Ic2pct 2024, 2024
Emerging Trends in Cybersecurity Challenges with Reference to Pen Testing Tools in Society 5.0
Gaganpreet Kaur, N. Bharathiraja, Kiran Deep Singh, M.R.M. Veeramanickam, Ciro Rodriguez Rodriguez, K. Pradeepa
Artificial Intelligence and Society 5 0 Issues Opportunities and Challenges, 2024
Deep Learning-Driven Sentiment Analysis in Textual Data
M. Kathiravan, S. Saravanan, M Jagadeesh, I. Lakshmi, V Sathya Durga, N. Bharathiraja
Proceedings International Conference on Computing Power and Communication Technologies Ic2pct 2024, 2024
Hybrid feature selection and classification technique for early prediction and severity of diabetes type 2
Praveen Talari, Bharathiraja N, Gaganpreet Kaur, Hani Alshahrani, Mana Saleh Al Reshan, Adel Sulaiman, Asadullah Shaikh
Plos One, 2024
Artificial Intelligence-Based Secured Power Grid Protocol for Smart City
Adel Sulaiman, Bharathiraja Nagu, Gaganpreet Kaur, Pradeepa Karuppaiah, Hani Alshahrani, Mana Saleh Al Reshan, Sultan AlYami, Asadullah Shaikh
Sensors, 2023
Efficient evolutionary modeling in solving maximization of lifetime of wireless sensor healthcare networks
Raja Marappan, P. A. Harsha Vardhini, Gaganpreet Kaur, S. Murugesan, M. Kathiravan, N. Bharathiraja, R. Venkatesan
Soft Computing, 2023
Cybersecurity enhancement to detect credit card frauds in health care using new machine learning strategies
E. Jayanthi, T. Ramesh, Reena S. Kharat, M. R. M. Veeramanickam, N. Bharathiraja, R. Venkatesan, Raja Marappan
Soft Computing, 2023
A Novel Fuzzy C-Means based Chameleon Swarm Algorithm for Segmentation and Progressive Neural Architecture Search for Plant Disease Classification
A. Umamageswari, N. Bharathiraja, D. Shiny Irene
ICT Express, 2023
MACHINE LEARNING APPROACH BASED ON FLUID DYNAMICS TO STUDY ON POROSITY STRUCTURE
Journal of Environmental Protection and Ecology, 2023
RETRACTION:A secured industrial wireless iot sensor network enabled quick transmission of data with a prototype study
O. Pandithurai, S. Urmela, S. Murugesan, N. Bharathiraja
Journal of Intelligent and Fuzzy Systems, 2023
Hybrid ICHO-HSDC Model For Accurate Covid-19 Detection and Classification From CT Scan And X-Ray Images
Badi Alekhya, R. Sasikumar, N. Sathish Kumar, N. Bharathiraja
International Journal of Computers Communications and Control, 2023
FINITE ELEMENT INVESTIGATION OF OVALITY EFFECT IN NONLINEAR PIPE BENDS
Journal of Environmental Protection and Ecology, 2023
Endoscopic Bladder Tissue Classification Through Fusion of Handcrafted and Deep Features
Raj Gaurang Tiwari, Himani Maheshwari, Ambuj Kumar Agarwal, Ochin Sharma, N. Bharathiraja
3rd International Conference on Innovative Mechanisms for Industry Applications Icimia 2023 Proceedings, 2023
Deep learning based on multimedia encoding to enhance video quality
Nagendra Panini Challa, C. Shanmuganathan, M. Shobana, Ch. Venkata Sasi Deepthi, N. Bharathiraja
International Journal of Communication Networks and Distributed Systems, 2023
A secure and effective diffused framework for intelligent routing in transportation systems
N. Bharathiraja, M. Shobana, M. Vijay Anand, R. Lathamanju, C. Shanmuganathan, V. Arulkumar
International Journal of Computer Applications in Technology, 2023
Security Enhancement in Multimodal System Fusion with Quantile Normalization for Speech and Signature Modalities
Gaganpreet Kaur, Gurgeet Kaur Sandhu, Murugesan S, Pradeepa K, Meenakshi D, Bharathiraja N
2023 5th International Conference on Electrical Computer and Communication Technologies Icecct 2023, 2023
Prediction of Plant Leaf Diseases using Drone and Image Processing Techniques
N Bharathiraja, K Pradeepa, I Jeya Sheela, G Sudhakar, M Vinoth Kumar, Gaganpreet Kaur
Proceedings 5th International Conference on Smart Systems and Inventive Technology Icssit 2023, 2023
Applying Machine Learning & Knowledge Discovery to Intelligent Agent-Based Recommendation for Online Learning Systems
Murugesan S, N. Bharathiraja, Pradeepa K, NV Ravindhar, M Vinoth Kumar, Raja Marappan
Proceedings IEEE International Conference on Device Intelligence Computing and Communication Technologies Dicct 2023, 2023
Predicting the Sale Price of Pre-Owned Vehicles with the Ensemble ML Model
M. Kathiravan, M Ramya, S. Jayanthi, Vangala Vamseedhar Reddy, Lokesh Ponguru, N. Bharathiraja
2023 4th International Conference on Electronics and Sustainable Communication Systems Icesc 2023 Proceedings, 2023
A Security model with efficient AES and Security Performance Trade-off Analysis of Cryptography Systems with Cloud Computing
Gaganpreet Kaur, Bharathiraja N, Murugesan S, Pradeepa K, Sudhakar G, Vinoth Kumar M
2023 5th International Conference on Electrical Computer and Communication Technologies Icecct 2023, 2023
New Recommender System for Online Courses Using Knowledge Graph Modeling
S. Bhaskaran, N. Bharathiraja, K Pradeepa, M Vinoth Kumar, N V Ravindhar, Raja Marappan
2023 International Conference on Computer Communication and Informatics Iccci 2023, 2023
Ultra-low latency communication technology for Augmented Reality application in mobile periphery computing
Bharathiraja Nagu, Thiruneelakandan Arjunan, Manoj L. Bangare, Pradeepa Karuppaiah, Gaganpreet Kaur, Mohammed Wasim Bhatt
Paladyn, 2023
Analysing the Accuracy of Detecting Phishing Websites using Ensemble Methods in Machine Learning
S Menaka, Jonnalagadda Harshika, Sarah Philip, Rashi John, N Bharathiraja, S Murugesan
Proceedings of the 3rd International Conference on Artificial Intelligence and Smart Energy Icais 2023, 2023
Air Pollution Prediction using Supervised Machine Learning Technique
Pandithurai O, Bharathiraja N, Pradeepa K, Meenakshi D, Kathiravan M, Vinoth Kumar M
Proceedings of the 3rd International Conference on Artificial Intelligence and Smart Energy Icais 2023, 2023
An Improved Scheduling Algorithm for Grey Wolf Fitness Task Enrichment with Cloud
Utsav Punia, Tanya Batra, Utkarsh Jindal, Bharathiraja N, Raj Gaurang Tiwari, Pradeepa K
Proceedings 5th International Conference on Smart Systems and Inventive Technology Icssit 2023, 2023
The Smart Automotive Webshop Using High End Programming Technologies
N. Bharathiraja, M. Shobana, S. Manokar, M. Kathiravan, A. Irumporai, S. Kavitha
Lecture Notes on Data Engineering and Communications Technologies, 2023
Efficient Intensity Bedded Sonata Wiles System using IoT
M. Kathiravan, S. Manohar, R. Jayanthi, R. Dheepthi, R. Vishnu Sekhar, N. Bharathiraja
Proceedings 7th International Conference on Computing Methodologies and Communication Iccmc 2023, 2023
Cyber Security Tool for Combat Remote Work Vulnerability
Menaka S, Navaneethakrishna K, Blesswin Geo Sam J A, Hariharasuthan V K, Murugesan S, Bharathiraja N
2023 5th International Conference on Electrical Computer and Communication Technologies Icecct 2023, 2023
Soldier's Position Tracking & Health Monitoring Optimization Model Using Biosensors
S. Nirmala Sugirtha Rajini, M.R.M Veeramanickam, K. Anuradha, Raja Marappan, T. Kirubadevi, N. Bharathiraja, T. Chandrakala, S. Bhaskaran
2023 International Conference on Computer Communication and Informatics Iccci 2023, 2023
SECURE INTEGRATION OF WIRELESS SENSOR NETWORK WITTH CLOUD USING CODED PROBABLE BLUEFISH CRYPTOSYSTEM
Journal of Theoretical and Applied Information Technology, 2022
Measurement of oxygen content in water with purity through soft sensor model
A. Thiruneelakandan, Gaganpreet Kaur, Geetha Vadnala, N. Bharathiraja, K. Pradeepa, Mervin Retnadhas
Measurement Sensors, 2022
RETRACTED ARTICLE: Resourceful Routing Algorithm for Mobile Ad-Hoc Network to Enhance Energy Utilization
M. Anand, A. Antonidoss, R. Balamanigandan, S. Rahmath Nisha, K. Gurunathan, N. Bharathiraja
Wireless Personal Communications, 2022
Artificial Neural Networks in Healthcare for Augmented Reality
Pradeepa K, Bharathiraja N, Meenakshi D, Hariharan S, Kathiravan M, Vinoth Kumar
2022 4th International Conference on Cognitive Computing and Information Processing Ccip 2022, 2022
Sentiment Analysis Model using Text and Emoticons for Pharmaceutical & Healthcare Industries
Bhaskaran S, Veeramanickam M.R.M, S. Hariharan, N. Bharathiraja, Pradeepa K, Raja Marappan
Proceedings 2022 2nd International Conference on Innovative Sustainable Computational Technologies Cisct 2022, 2022
A Novel Framework for Cyber Security Attacks on Cloud-Based Services
Bharathiraja N, Pradeepa K, Murugesan S, Hariharan S, Vinoth Kumar M, Veeramanickam MRM
2022 4th International Conference on Cognitive Computing and Information Processing Ccip 2022, 2022
Elite Oppositional Farmland Fertility Optimization Based Node Localization Technique for Wireless Networks
N. Bharathiraja, Pydimarri Padmaja, S. B. Rajeshwari, Jagadish S. Kallimani, Ahmed Mateen Buttar, T. Bheema Lingaiah
Wireless Communications and Mobile Computing, 2022
Recommendation System using Inference-based Graph Learning - Modeling and Analysis
Bhaskaran S., S. Hariharan, Veeramanickam M.R. M, N. Bharathiraja, Pradeepa K, Raja Marappan
Proceedings 2022 2nd International Conference on Innovative Sustainable Computational Technologies Cisct 2022, 2022
An improved security assurance model for collaborating small material business processes
D. Vinod, N. Bharathiraja, M. Anand, A. Antonidoss
Materials Today Proceedings, 2021
Diabetes prediction using sensors by analysing skin temperature
Journal of Engineering Science and Technology, 2020

RECENT SCHOLAR PUBLICATIONS

An efficient hybrid scheduling and virtual machine framework for load balancing in cloud computing architectures
J Ramaprabha, P Mahalakshmi, S Murugesan, B Nagu, S Ramisetty, ...
Ain Shams Engineering Journal 17 (6), 104119 , 2026
2026
Self‐Evolving Energy Harvesting Framework for IoT Sensor Nodes Using Bio‐Inspired Scheduling Algorithms
S Kasiviswanathan, S S, B N, R Vijay
International Journal of Communication Systems 39 (7), e70469 , 2026
2026
Optimizing Agricultural Disease Detection with Hybrid Weighted Particle Swarm Optimization-based Faster Mask RCNN for Secure Cloud Analysis and Steady Productivity
M Paramasivam, B Nagu, S Subramanian, C Seetharaman, R Gupta, ...
International Journal of Computational Intelligence Systems , 2026
2026
Enhancing autonomous vehicle security in intelligent transportation systems through quantum computing and optimisation based federated learning
S Sellakumar, K FrancisXavier, P Karuppaiah, N Bharathiraja
International Journal of Heavy Vehicle Systems , 2025
2025
Enhancing Road Safety Through Wearable Sensor Technology and Explainable Artificial Intelligence: A Novel Approach To Cognitive Load Monitoring in Driving
B Nagu, S Subramanian, RG Tiwari, AO Salau
International Journal of Intelligent Transportation Systems Research 23 (3 … , 2025
2025
Citations: 1
Enhancing environmental sustainability through real-time bio-waste detection using YOLOv6-CSP and relevance vector machine for improved waste management
B Nagu, S Bansal, MRI Faruque, KS Al-mugren
Measurement, 119370 , 2025
2025
Development of Hybrid Explainable Artificial Intelligence With Swin Vision Transformer Intrusion Detection for Securing VANETs From Attacks
N, Bharathiraja, MS Minu, R Vijay, M Rajalakshmi, P Vidyullatha, ...
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES 36 (10) , 2025
2025
Prediction of banana leaf disease by intelligent algorithm through digital image using neural network technique
B Nagu, G Kaur, M Shanmugavelu, V MRM
Multimedia Tools and Applications 84 (28), 34249-34265 , 2025
2025
Citations: 5
Advanced predictive analytics for bio-waste management using YOLOv8-SPP to enhance waste prediction and sustainability in smart cities
S Balasubramanium, B Nagu, S Bansal, MRI Faruque, KS Al-Mugren
Scientific Reports 15 (1), 23583 , 2025
2025
Citations: 2
Human-machine interaction in mechanical systems through sensor enabled wearable augmented reality interfaces
K Balamurugan, G Sudhakar, KF Xavier, N Bharathiraja, G Kaur
Measurement: Sensors 39, 101880 , 2025
2025
Citations: 8
MACHINE LEARNING FOR PREDICTING BITCOIN AND ETHEREUM PRICE FLUCTUATIONS WITH NEWS ANALYSIS
M SHANMUGAVELU, B PARI, K SOMASUNDARAM, V GEETHA, R NV, ...
JOURNAL OF ADVANCED RESEARCH 64 (3), 37-50 , 2025
2025
Optimizing Motion in Nanoscale Robotics: A Hybrid WQPSO-Fuzzy Logic Approach for Dynamic Path Planning
P Murugaiah, D Samiappan, B Nagu
Studies in Informatics and Control 34 (2), 65 , 2025
2025
Citations: 2
Advancing transport safety with faster pre-convoluted neural networks and lightweight multi-scale fusion for driver distraction detection
MJ John, K Dinakaran, N Bharathiraja
International Journal of Heavy Vehicle Systems 32 (1), 101-121 , 2025
2025
Citations: 4
Strategic Integration of Machine Learning for Fraud Detection in E-Commerce Transactions
P Vijayalakshmi, K Subashini, B Selvalakshmi, G Sudhakar, A Anbalagan, ...
Strategic Innovations of AI and ML for E-Commerce Data Security, 135-156 , 2025
2025
IoT sensor data retrieval and analysis in cloud environments for enhanced power management
V Arulkumar, F Kavin, D Arulkumar, N Bharathiraja
Journal of Advanced Research in Applied Sciences and Engineering Technology … , 2024
2024
Citations: 18
Secured intelligent transportation with privacy retention through blockchain framework
G Kaur, M Shobana, F Kavin, S Sellakumar, D Meenakshi, N Bharathiraja
Journal of Intelligent & Fuzzy Systems 46 (4), 10507-10521 , 2024
2024
Citations: 10
Deep Learning-Driven Sentiment Analysis in Textual Data
M Kathiravan, S Saravanan, M Jagadeesh, I Lakshmi, VS Durga, ...
2024 IEEE International Conference on Computing, Power and Communication … , 2024
2024
Citations: 2
Java-Powered Digital Healthcare Management: innovating Medical Administration Systems
M Kathiravan, I Lakshmi, VS Durga, S Saravanan, M Vijayakumar, ...
2024 IEEE International Conference on Computing, Power and Communication … , 2024
2024
Citations: 4
Solar energy forecasting with performance optimization using machine learning techniques
S Murugesan, M Mahasree, F Kavin, N Bharathiraja
Electric Power Components and Systems , 2024
2024
Citations: 10
Emerging trends in cybersecurity challenges with reference to pen testing tools in Society 5.0
G Kaur, N Bharathiraja, KD Singh, MRM Veeramanickam, CR Rodriguez, ...
Artificial Intelligence and Society 5.0, 196-212 , 2024
2024
Citations: 10

MOST CITED SCHOLAR PUBLICATIONS

A novel fuzzy C-means based chameleon swarm algorithm for segmentation and progressive neural architecture search for plant disease classification
A Umamageswari, N Bharathiraja, DS Irene
ICT Express 9 (2), 160-167 , 2023
2023
Citations: 116
Artificial intelligence-based secured power grid protocol for smart city
A Sulaiman, B Nagu, G Kaur, P Karuppaiah, H Alshahrani, MSA Reshan, ...
Sensors 23 (19), 8016 , 2023
2023
Citations: 83
Hybrid feature selection and classification technique for early prediction and severity of diabetes type 2
P Talari, B N, G Kaur, H Alshahrani, MS Al Reshan, A Sulaiman, A Shaikh
Plos one 19 (1), e0292100 , 2024
2024
Citations: 49
Efficient evolutionary modeling in solving maximization of lifetime of wireless sensor healthcare networks
R Marappan, PAH Vardhini, G Kaur, S Murugesan, M Kathiravan, ...
Soft Computing 27 (16), 11853-11867 , 2023
2023
Citations: 41
A controlled framework for reliable multicast routing protocol in mobile ad hoc network
M Anand, N Balaji, N Bharathiraja, A Antonidoss
Materials Today: Proceedings , 2021
2021
Citations: 37
Elite oppositional farmland fertility optimization based node localization technique for wireless networks
N Bharathiraja, P Padmaja, SB Rajeshwari, JS Kallimani, AM Buttar, ...
Wireless Communications and Mobile Computing 2022 (1), 5290028 , 2022
2022
Citations: 33
Cybersecurity enhancement to detect credit card frauds in health care using new machine learning strategies
E Jayanthi, T Ramesh, RS Kharat, MRM Veeramanickam, N Bharathiraja, ...
Soft Computing 27 (11), 7555-7565 , 2023
2023
Citations: 31
The smart automotive webshop using high end programming technologies
N Bharathiraja, M Shobana, S Manokar, M Kathiravan, A Irumporai, ...
Intelligent Communication Technologies and Virtual Mobile Networks … , 2022
2022
Citations: 25
Resourceful Routing Algorithm for Mobile Ad-Hoc Network to Enhance Energy Utilization
M Anand, A Antonidoss, R Balamanigandan, S Rahmath Nisha, ...
Wireless Personal Communications 127 (Suppl 1), 7-8 , 2022
2022
Citations: 20
Measurement of oxygen content in water with purity through soft sensor model
A Thiruneelakandan, G Kaur, G Vadnala, N Bharathiraja, K Pradeepa, ...
Measurement: Sensors 24, 100589 , 2022
2022
Citations: 20
An improved security assurance model for collaborating small material business processes
D Vinod, N Bharathiraja, M Anand, A Antonidoss
Materials Today: Proceedings 46, 4077-4081 , 2021
2021
Citations: 20
IoT sensor data retrieval and analysis in cloud environments for enhanced power management
V Arulkumar, F Kavin, D Arulkumar, N Bharathiraja
Journal of Advanced Research in Applied Sciences and Engineering Technology … , 2024
2024
Citations: 18
Analysing the accuracy of detecting phishing websites using ensemble methods in machine learning
S Menaka, J Harshika, S Philip, R John, N Bharathiraja, S Murugesan
2023 Third International Conference on Artificial Intelligence and Smart … , 2023
2023
Citations: 18
Predicting the sale price of pre-owned vehicles with the ensemble ML model
M Kathiravan, M Ramya, S Jayanthi, VV Reddy, L Ponguru, ...
2023 4th International Conference on Electronics and Sustainable … , 2023
2023
Citations: 16
Artificial neural networks in healthcare for augmented reality
K Pradeepa, N Bharathiraja, D Meenakshi, S Hariharan, M Kathiravan
2022 Fourth International Conference on Cognitive Computing and Information … , 2022
2022
Citations: 16
DIABETES PREDICTION USING SENSORS BY ANALYSING SKIN TEMPERATURE
BN SASIKUMAR B, NAVEENRAJU D, ANAND K, HARIHARAN S, SUDHAKARAN P
Journal of Engineering Science and Technology 15 (No. 2 (2020)), 1357 - 1370 , 2020
2020
Citations: 16
Real-time fall detection using ESP32 and AMG8833 thermal sensor: A non-wearable approach for enhanced safety
N Bharathiraja, RB Indhuja, PRA Krishnan, S Anandhan, S Hariprasad
2023 Second International Conference on Augmented Intelligence and … , 2023
2023
Citations: 15
Prediction of plant leaf diseases using drone and image processing techniques
N Bharathiraja, K Pradeepa, IJ Sheela, G Sudhakar, MV Kumar, G Kaur
2023 5th international conference on smart systems and inventive technology … , 2023
2023
Citations: 14
Ultra-low latency communication technology for Augmented Reality application in mobile periphery computing
B Nagu, T Arjunan, ML Bangare, P Karuppaiah, G Kaur, MW Bhatt
Paladyn, Journal of Behavioral Robotics 14 (1), 20220112 , 2023
2023
Citations: 12
A secure and effective diffused framework for intelligent routing in transportation systems
N Bharathiraja, M Shobana, MV Anand, R Lathamanju, ...
International Journal of Computer Applications in Technology 71 (4), 363-370 , 2023
2023
Citations: 12

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