Dr. Prabhakar Gunasekaran

@tce.edu

Department of Electronics and Communication Engineering
Thiagarajar College of Engineering, Madurai.

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary
49

Scopus Publications

389

Scholar Citations

11

Scholar h-index

13

Scholar i10-index

Scopus Publications

  • Distributed Weak-Jamming Detection via Sparse Convex Optimization with Robust Worst-Case Guarantees
    S. Jeyaseelan, P.G.S. Velmurugan, G. Prabhakar
    11th International Conference on Wireless Communications Signal Processing and Networking Wispnet 2026, 2026
  • AI-based False Data Injection attack detection in smart grid Advanced Metering Infrastructure
    Ramachandran Murugesan, Prabhakar Gunasekaran, Shanthi Jeyabal, Vignesh Kumar Vethanayagam
    Electrical Engineering, 2025
  • Study Review of Optical Biosensors Based on 2D Materials
    P. Sangeetha, N. Ayyanar, G. Prabhakar, S. Rajaram
    Plasmonics, 2025
  • GST-Based Surface Plasmon Resonance Reconfigurable Biosensor for Detection of Human Sperm
    N. Ayyanar, Gracia Nirmala Rani, K. Dharshini, G. Madhumita, N. R. Ramanujam, G. Prabhakar, S. Rajaram
    Plasmonics, 2025
  • Surface plasmon resonance sensor with 2D materials for enhanced refractive index detection of chemical pollutants in seawater
    V. Nirmal Kannan, G. Prabhakar, N. Ayyanar
    Optik, 2025
  • Design, Finite Element Analysis, and Controller Implementation for Deformation of Soft Actuators
    Control Engineering and Applied Informatics, 2025
  • Analysis of Partial Shading Impact in a 50kW Grid linked PV System
    G.C. Prabhakar, N. Amarnadh Reddy, O. Sobhana, R. Sireesha
    International Conference on Electrical Energy Systems Icees, 2025
    The incorporation of photovoltaic (PV) systems into the power grid is an essential approach to obtain power from renewable energy resources. This paper presents the analysis of a 50-kW grid-connected PV system considering the impact of partial shading conditions (PSC). Partial shading significantly affects PV system performance by reducing power output and causing multiple local maxima in the power-voltage characteristics. To address this challenge, the Perturb and Observe (PO) Maximum Power Point Tracking (MPPT) algorithm is employed to optimize power extraction under varying shading conditions. The system is modeled and simulated in MATLAB/Simulink to analyze its performance under different irradiance levels. The results demonstrate the effectiveness of the P&O MPPT technique in tracking the global maximum power point despite partial shading effects. Additionally, the effectiveness of the grid-fed system is examined to ensure compliance with grid standards. The findings highlight the significance of robust MPPT control in mitigating power losses due to shading and improving overall system efficiency. The study provides valuable insights for enhancing the reliability of grid-linked PV schemes in real-world applications.
  • Revolutionizing Personalized Healthcare: The Role of Nanosensors in NonInvasive Monitoring
    P. Nedumal Pugazhenthi, K. Vijayakumar, S. Selvaperumal, G. Prabhakar
    Nanosensors as Robust Non Invasive Diagnostic Tools for Remote Health Monitoring, 2025
    This chapter examines how noninvasive nanosensors are revolutionizing the field of personal healthcare. With their incredibly small size and amazing sensitivity, nanosensors have the potential to completely change how we monitor various aspects of our health. We explore the wide range of nanosensors available, their uses in ongoing health monitoring, and how they might advance personalized therapy. The significant influence of nanosensors on the future of healthcare is highlighted by case studies and future prospects.
  • YOLOv5-based Enhanced Underwater Seaweed Detection Using Open-Source Datasets
    Prabhakar G., Nirmal Kannan V., Selvaperumal S., Baranitharan B.
    Recent Patents on Engineering, 2025
    Seaweeds, macroscopic algae known for their diverse applications across industries such as agriculture, biomedicine, and personal care, pose challenges in underwater detection due to the lack of suitable image datasets. Underwater photography is often hindered by light fluctuations and artificial light-induced haze and noise, complicating accurate object recognition. To address these challenges, this study leverages openly available open-source datasets such as Algae detection Dataset, seaweeddetection- test Dataset, and Fish detection Dataset. From these datasets, seaweed-spotted images, along with sea creatures and coral reefs, are segregated for employment in this research work. Employing a supervised learning algorithm facilitated by Roboflow software and the YOLOv5 architecture, the method achieves a commendable accuracy of 82.3% in identifying seaweed presence in underwater images. The investigation not only highlights the potential of seaweeds as renewable resources but also underscores the intricate nature of underwater detection. Moreover, the approach offers a promising avenue for refining Underwater Object Detection (UOD) algorithms, benefiting not only seaweed detection but also the identification of various marine species. Additionally, acknowledgment is made of the diversity of patented underwater object detection technologies, each with its own set of advantages, disadvantages, and application scenarios. To address the challenge of detecting seaweeds underwater, a supervised learning algorithm was developed utilizing the Roboflow software and YOLOv5 architecture. The selection of the dataset was guided by the need for a diverse representation of underwater scenes containing seaweeds, sea creatures, and coral reefs. Openly available open-source datasets, including the Algae detection Dataset, seaweed-detection-test Dataset, and Fish detection Dataset, were chosen based on their coverage of these underwater environments. From these datasets, seaweedspotted images, alongside images of sea creatures and coral reefs, were segregated to form a comprehensive training dataset. This selection was made to ensure the inclusion of diverse underwater scenes containing seaweeds, thus enhancing the robustness of the model. Data augmentation techniques, including rotation, scaling, and flipping, were applied to increase dataset diversity and robustness. During the training process, model parameters were iteratively optimized to achieve accurate seaweed detection. This involved fine-tuning the YOLOv5 architecture and adjusting training parameters based on the characteristics of the selected dataset. By utilizing openly available datasets and employing data augmentation techniques, the methodology ensures the inclusion of diverse underwater scenes containing seaweeds, effectively addressing the challenges associated with underwater detection. The study evaluated the performance of the YOLOv5 algorithm in detecting underwater objects, focusing on Fish, Seaweed, and Starfish classes. Seaweed detection demonstrated high precision (0.925) and mAP50 (0.823), with an accuracy rate of 82.3% across diverse underwater images. Fish detection showed moderate precision (0.769) and mAP50 (0.512), while Starfish detection exhibited exceptional accuracy (Precision: 0.872, Recall: 1, mAP50: 0.995). These findings emphasize the algorithm's effectiveness in identifying underwater objects, particularly seaweed and starfish, highlighting its potential for marine species identification tasks. In conclusion, the YOLOv5 algorithm demonstrated remarkable accuracy in identifying seaweed, achieving an initial accuracy of 82.3%. Through subsequent retraining, both classification and detection accuracy significantly improved, reaching 77.7% and 99.5%, respectively. Additionally, the mAP50 value for seaweed also reaches 82.3%, indicating robust performance. However, for fish species, the accuracy is recorded at 51.2%, with detection accuracy also reaching 99.5%. These findings underscore the versatility and effectiveness of the YOLOv5 algorithm in underwater object detection tasks, highlighting its potential for enhancing marine species identification and ecological research.
  • GUI-Driven Real-Time PID Control Tool for Educational Virtual Systems
    , G. Ananthi, G. Prabhakar, and
    Journal of Engineering Education Transformations, 2024
    This research presents a pioneering approach in virtual control systems, focusing on developing a highly intuitive Graphical User Interface (GUI) for real-time PID control of LED brightness using Arduino IDE. By embracing a robust pedagogical framework, the study meticulously outlines specific learning objectives that adhere to the SMART criteria, ensuring precise educational outcomes. The key to this research is the tailored design of the GUI, which considers diverse audience needs, prior knowledge, and learning styles. The interfaces are meticulously crafted for optimal user experience, ensuring seamless navigation and engagement. Interactive elements, encompassing simulations, virtual experiments, problem-solving scenarios, and quizzes, foster active participation and hands-on learning. Multimedia elements, such as text, images, videos, animations, and audio, are thoughtfully integrated to cater to varied learning preferences. This paper underscores the critical role of collaborative learning facilitated through discussion forums, chat functionalities, and collaborative virtual environments. The study emphasizes continuous improvement through regular assessments and detailed user feedback analysis. Notably, the research highlights the significant educational impact of the designed GUI. By offering a practical platform where students can dynamically adjust PID parameters and observe immediate effects on LED brightness, the GUI enhances the learning experience in classroom settings. This approach equips students with a tangible understanding of complex PID principles, preparing them for real-world applications. In summary, this research showcases the creation of engaging, practical virtual control system tools, fostering profound and meaningful learning experiences for users within educational contexts. Keywords : control systems, pedagogy, facilitation
  • 5G and fiber optics security technologies for smart grid cyber defense
    Ayyanar, N., Prabhakar, G., Rajaram, S. 1973-
    5g and Fiber Optics Security Technologies for Smart Grid Cyber Defense, 2024
  • Preface
    5g and Fiber Optics Security Technologies for Smart Grid Cyber Defense, 2024
  • Securing the future: Regulatory compliance and standards for 5G and fiber optics in smart grid cyber defense
    Nedumal Pugazhenthi, Vijayakumar Kaliappan, Selvaperumal Sundarmoorthy, Prabhakar Gunasekaran
    5g and Fiber Optics Security Technologies for Smart Grid Cyber Defense, 2024
  • Design and fabrication of a softrobotic gripper for involving underwater vehicles in seaweed farming
    Prabhakar Gunasekaran, Meenakshi S., Jainulafdeen A., Ayyanar N., Rajalakshmi Murugesan
    Modeling Simulation and Control of AI Robotics and Autonomous Systems, 2024
  • Adaptive cruise control system with fractional order ANFIS PD+I controller: optimization and validation
    Prabhakar Gunasekaran, Rajaram Sivasubramanian, Karuppasamy Periyasamy, Suresh Muthusamy, Om Prava Mishra, Ponarun Ramamoorthi, Kishor Kumar Sadasivuni, Mithra Geetha
    Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2024
  • Secured IoT-Based Neighborhood Area Network for Real-Time Energy Data Management in Smart Grids
    G. Prabhakar, Kaviya S
    2nd International Conference on Emerging Trends in Information Technology and Engineering Ic Etite 2024, 2024
  • Development of Machine Learning Model to Detect Fault Data Injection Attack on Vehicle Following Systems
    S. Dharsini, G. Prabhakar, S. Rajaram, J. Shanthi
    2023 International Conference on Recent Advances in Electrical Electronics Ubiquitous Communication and Computational Intelligence Raeeucci 2023, 2023
  • FEM Based Soft Robotic Gripper Design For Seaweed Farming
    S. Meenakshi, G. Prabhakar, N. Ayyanar, P. Nedumal Pugazhenthi
    2023 International Conference on Energy Materials and Communication Engineering Icemce 2023, 2023
  • A normalized Haar wavelet transformation based firefly optimization algorithm for power transmission line fault detection problems
    Iyappan Murugesan, Prabhakar Gunasekaran, Suresh Muthusamy, Ponarun Ramamoorthi
    Energy Sources Part A Recovery Utilization and Environmental Effects, 2023
  • Microgrid Energy Optimization and Realization by Means of Plug-in Electric Vehicles in both V2G - G2V Environment
    M. Ramachandran, G. Prabhakar, V. Nirmal Kannan, A. Mariya Chithra Mary
    Proceedings of the 8th International Conference on Communication and Electronics Systems Icces 2023, 2023
  • Haar Cascade Classifier-based Real-Time Face Recognition and Face Detection
    M Monica Dhana Ranjini, M Paul Jeyaraj, M Senthil Kumar, T Arun Prasath, G Prabhakar
    2023 4th International Conference on Electronics and Sustainable Communication Systems Icesc 2023 Proceedings, 2023
  • A smart IoT-based solar power monitoring system
    Smart Grids and Green Energy Systems, 2022
  • Self-Balancing Vehicle Based on Adaptive Neuro-Fuzzy Inference System
    M. L. Ramamoorthy, S. Selvaperumal, G. Prabhakar
    Intelligent Automation and Soft Computing, 2022
  • Fault Detection and Classification in Micro Grid Using AI Technique
    B. Koushik Aryan, O. Sobhana, G.C. Prabhakar, N. Amarnadh Reddy
    Proceedings 2022 International Conference on Recent Trends in Microelectronics Automation Computing and Communications Systems Icmacc 2022, 2022
  • IoT-based Intelligent Mobile Application for Shopping
    M. Balamurugan, G. Prabhakar, G. Amsaveni, M. Karthikumar, J. Jasmin Shifa, E. Sharmila
    International Conference on Automation Computing and Renewable Systems Icacrs 2022 Proceedings, 2022
  • A novel source side power quality improved soft starting of three-phase induction motor using a symmetrical angle controller through pic microcontroller
    S. Selvaperumal, N. R. Krishnamoorthy, G. Prabhakar
    Bulletin of the Polish Academy of Sciences Technical Sciences, 2021
  • ANFIS PD Plus I Control On Simscape Model of Nonlinear Physical System
    Control Engineering and Applied Informatics, 2021
  • Power management storage through local consumer demand control using IOT
    Iyappan M., G. Prabhu, S. Suganth, S. Vigneshwaran, G. Prabhakar
    Materials Today Proceedings, 2020
  • Online optimization based model predictive control on two wheel Segway system
    G. Prabhakar, S. Selvaperumal, P. Nedumal Pugazhenthi, K. Umamaheswari, P. Elamurugan
    Materials Today Proceedings, 2020
  • Detection of Moving Object in Dynamic Visual Sequences Based on Partial Least Squares Classifier
    Shyamala Balakumar, Selvaperumal Sundaramoorthy, Ramasubramanian Bhoopalan, G. Prabhakar
    Journal of Medical Systems, 2019
  • Fault data injection attack on car-following model and mitigation based on interval type-2 fuzzy logic controller
    Prabhakar Gunasekaran, Selvaperumal Sundaramoorthy, Nedumal Pugazhenthi Pulikesi
    Iet Cyber Physical Systems Theory and Applications, 2019
  • Fuzzy PD Plus I Control-based Adaptive Cruise Control System in Simulation and Real-time Environment
    G. Prabhakar, S. Selvaperumal, P. Nedumal Pugazhenthi
    IETE Journal of Research, 2019
  • Anfis classifier based moving object detection and segmentation in indoor and outdoor environments
    A. Shyamala, S. Selvaperumal, G. Prabhakar
    Current Signal Transduction Therapy, 2019
  • ANN-based maximum power point tracking for a large photovoltaic farm through wireless sensor networks
    K. Annaraja, S. S. Sundaram, S. Selvaperumal, G. Prabhakar
    Current Signal Transduction Therapy, 2019
  • Formation control of cyber physical robots in marine applications
    Indian Journal of Geo Marine Sciences, 2018
  • Implementation analysis on parallel parking scheme for autonomous robots based on nonholonomic constraints
    P. Annapandi, S.P. Rajaram, G. Prabhakar
    Current Signal Transduction Therapy, 2018
  • Autonomous lane parking system for nonholonomic vehicles
    K. Dhivya, R. Nagarajan, G. Prabhakar
    Proceedings of 2016 International Conference on Advanced Communication Control and Computing Technologies Icaccct 2016, 2017
  • Analysis on soft sensor design in Simulink
    S. Muthuviswadharani, G. Prabhakar, S. Selvaperumal
    Proceedings of 2016 International Conference on Advanced Communication Control and Computing Technologies Icaccct 2016, 2017
  • Modelling and control of ball and beam system using PID controller
    P. V. Mani Maalini, G. Prabhakar, S. Selvaperumal
    Proceedings of 2016 International Conference on Advanced Communication Control and Computing Technologies Icaccct 2016, 2017
  • Performance investigation of SHE PWM implementation of GA based LCL resonant inverter in marine applications
    Indian Journal of Geo Marine Sciences, 2017
  • Performance investigation of genetic algorithm based LCL resonant converter in marine applications
    Indian Journal of Geo Marine Sciences, 2016
  • Fuzzy based multiport resonant converter for photovoltaic system
    International Journal of Control Theory and Applications, 2016
  • Microcontroller based autonomous vehicle control system using can bus
    N. Ilangovan, R. Jagatheesan, P. Gnana Skanda Parthipan, A. Jeyasaravanan, G. Prabhakar
    Proceedings of 2014 IEEE International Conference on Advanced Communication Control and Computing Technologies Icaccct 2014, 2015
  • A soft computing based analysis on moisture control in paper industry
    International Journal of Applied Engineering Research, 2015
  • Model predictive control law of Buck-boost converter based on piecewise affine modelling
    International Journal of Applied Engineering Research, 2015
  • Closed loop performance investigation of chopper fed DC motor using various controller
    International Journal of Applied Engineering Research, 2015
  • Implementation analysis of state space modelling and control of nonlinear process using PID algorithm in MATLAB and PROTEUS environment
    G. Prabhakar, P. Nedumal Pugazhenthi, S. Selvaperumal
    Applied Mechanics and Materials, 2014
  • An integrated design of current conveyor II based analog PID controller and analyze the control by using PID tuning rule
    K.V. Sainath, G. Prabhakar, S. Selvaperumal
    Applied Mechanics and Materials, 2014
  • Implementation of object recognition based on local texture operators in FPGA technology
    M. Monica Dhana Ranjini, P. Gnana Skanda Parthiban, G. Prabhakar, A. Mohamed Rajithkhan, M. Paul Jeyaraj
    Applied Mechanics and Materials, 2014

RECENT SCHOLAR PUBLICATIONS

  • EMG Data Generation for Scooter Riding and Classification Using Machine Learning to Control a Prosthetic Arm
    S Meenakshi, G Prabhakar
    Applied Mathematics, Automation and Computing, 22-26 , 2026
    2026
  • DESIGN, FEM ANALYSIS, AND CONTROLLER IMPLEMENTATION FOR DEFORMATION OF SOFT ACTUATORS
    S Meenakshi, G Prabhakar
    Journal of Control Engineering and Applied Informatics 27 (4), 41-48 , 2025
    2025
  • Study review of optical biosensors based on 2D materials
    P Sangeetha, N Ayyanar, G Prabhakar, S Rajaram
    Plasmonics 20 (9), 7155-7169 , 2025
    2025
    Citations: 19
  • YOLOv5-based Enhanced Underwater Seaweed Detection Using Open-Source Datasets
    G Prabhakar, S Selvaperumal, B Baranitharan
    Recent Patents on Engineering 19 (6), E300524230521 , 2025
    2025
    Citations: 3
  • Revolutionizing Personalized Healthcare: The Role of Nanosensors in NonInvasive Monitoring
    PN Pugazhenthi, K Vijayakumar, S Selvaperumal, G Prabhakar
    Nanosensors as Robust Non-Invasive Diagnostic Tools for Remote Health … , 2025
    2025
  • GST-based surface plasmon resonance reconfigurable biosensor for detection of human sperm
    N Ayyanar, GN Rani, K Dharshini, G Madhumita, NR Ramanujam, ...
    Plasmonics 20 (3), 1261-1271 , 2025
    2025
    Citations: 6
  • Surface plasmon resonance sensor with 2D materials for enhanced refractive index detection of chemical pollutants in seawater
    VN Kannan, G Prabhakar, N Ayyanar
    Optik 321, 172157 , 2025
    2025
    Citations: 9
  • 5G and Fiber Optics Security Technologies for Smart Grid Cyber Defense
    G Prabhakar, N Ayyanar, S Rajaram
    IGI Global , 2024
    2024
    Citations: 1
  • Adaptive cruise control system with fractional order ANFIS PD+ I controller: optimization and validation
    P Gunasekaran, R Sivasubramanian, K Periyasamy, S Muthusamy, ...
    Journal of the Brazilian Society of Mechanical Sciences and Engineering 46 … , 2024
    2024
    Citations: 12
  • GUI-Driven Real-Time PID Control Tool for Educational Virtual Systems
    G Ananthi, G Prabhakar
    Journal of Engineering Education Transformations, 61-71 , 2024
    2024
    Citations: 3
  • Design and Fabrication of a Softrobotic Gripper for Involving Underwater Vehicles in Seaweed Farming
    P Gunasekaran, S Meenakshi, A Jainulafdeen, N Ayyanar, R Murugesan
    Modeling, Simulation, and Control of AI Robotics and Autonomous Systems, 95-108 , 2024
    2024
  • Fem based soft robotic gripper design for seaweed farming
    S Meenakshi, G Prabhakar, N Ayyanar, PN Pugazhenthi
    2023 International Conference on Energy, Materials and Communication … , 2023
    2023
    Citations: 7
  • Haar cascade classifier-based real-time face recognition and face detection
    MMD Ranjini, MP Jeyaraj, MS Kumar, TA Prasath, G Prabhakar
    2023 4th International Conference on Electronics and Sustainable … , 2023
    2023
    Citations: 10
  • Microgrid energy optimization and realization by means of plug-in electric vehicles in both v2g-g2v environment
    M Ramachandran, G Prabhakar, VN Kannan, AMC Mary
    2023 8th International Conference on Communication and Electronics Systems … , 2023
    2023
    Citations: 3
  • A normalized Haar wavelet transformation based firefly optimization algorithm for power transmission line fault detection problems
    I Murugesan, P Gunasekaran, S Muthusamy, P Ramamoorthi
    Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 45 … , 2023
    2023
    Citations: 7
  • Development of Machine Learning Model to Detect Fault Data Injection Attack on Vehicle Following Systems
    S Dharsini, G Prabhakar, S Rajaram, J Shanthi
    2023 International Conference on Recent Advances in Electrical, Electronics … , 2023
    2023
  • Self-Balancing Vehicle Based on Adaptive Neuro-Fuzzy Inference System
    GP M. L. Ramamoorthy, S. Selvaperumal
    Intelligent Automation & Soft Computing 34 (1), 485-497 , 2022
    2022
    Citations: 3
  • ANFIS PD Plus I control on simscape model of nonlinear physical system
    K Umamaheswari, G Prabhakar, K Viji, P Thanapal
    Journal of Control Engineering and Applied Informatics 23 (1), 50-59 , 2021
    2021
    Citations: 10
  • Architecture of Low Power Energy Harvester Using Hybrid Input Solar, Peltier Thermo Electric and Vibrational Generation
    G Ramya, R Sivakumar, G Prabhakar, KU Maheswari, K Karthi
    Int. Res. J. Innov. Eng. Technol 5, 68 , 2021
    2021
    Citations: 3
  • A novel source side power quality improved soft starting of three-phase induction motor using a symmetrical angle controller through pic microcontroller
    S Selvaperumal, N Krishnamoorthy, G Prabhakar
    Bulletin of the Polish Academy of Sciences. Technical Sciences 69 (2) , 2021
    2021
    Citations: 3

MOST CITED SCHOLAR PUBLICATIONS

  • Modelling and control of ball and beam system using PID controller
    PVM Maalini, G Prabhakar, S Selvaperumal
    2016 International Conference on Advanced Communication Control and … , 2016
    2016
    Citations: 67
  • Fuzzy PD plus I control-based adaptive cruise control system in simulation and real-time environment
    G Prabhakar, S Selvaperumal, P Nedumal Pugazhenthi
    IETE Journal of Research 65 (1), 69-79 , 2019
    2019
    Citations: 63
  • Fault data injection attack on car‐following model and mitigation based on interval type‐2 fuzzy logic controller
    P Gunasekaran, S Sundaramoorthy, NP Pulikesi
    IET Cyber‐Physical Systems: Theory & Applications 4 (2), 128-138 , 2019
    2019
    Citations: 26
  • Study review of optical biosensors based on 2D materials
    P Sangeetha, N Ayyanar, G Prabhakar, S Rajaram
    Plasmonics 20 (9), 7155-7169 , 2025
    2025
    Citations: 19
  • Performance investigation of SHE PWM implementation of GA based LCL resonant inverter in marine applications
    S Selvaperumal, S Muralidharan, PN Pugazhenthi, G Prabhakar, ...
    Indian Journal of Geo Marine Sciences 46 (09), 1889-1898 , 2017
    2017
    Citations: 17
  • Implementation Analysis of State Space Modelling and Control of Nonlinear Process using PID algorithm in MATLAB and PROTEUS Environment
    G Prabhakar, PN Pugazhenthi, S Selvaperumal
    Applied Mechanics and Materials 573, 297-303 , 2014
    2014
    Citations: 16
  • Online optimization based model predictive control on two wheel Segway system
    G Prabhakar, S Selvaperumal, PN Pugazhenthi, K Umamaheswari, ...
    Materials Today: Proceedings 33, 3846-3853 , 2020
    2020
    Citations: 14
  • Performance investigation of genetic algorithm based LCL resonant converter in marine applications
    S Selvaperumal, S Vijayarajan, PN Pugazhenthi, G Prabhakar, ...
    Ind J Geo Mar Sci NISCAIR-CSIR 45 (10), 1377-88 , 2016
    2016
    Citations: 14
  • An efficient approach for real time tracking of intruder and abandoned object in video surveillance system
    R Brindha, G Prabhakar
    International Journal of Computer Applications 54 (17), 22-27 , 2012
    2012
    Citations: 14
  • Adaptive cruise control system with fractional order ANFIS PD+ I controller: optimization and validation
    P Gunasekaran, R Sivasubramanian, K Periyasamy, S Muthusamy, ...
    Journal of the Brazilian Society of Mechanical Sciences and Engineering 46 … , 2024
    2024
    Citations: 12
  • An early screening system for the detection of diabetic retinopathy using image processing
    B Ramasubramanian, G Prabhakar
    International Journal of Computer Applications 61 (15) , 2013
    2013
    Citations: 11
  • Haar cascade classifier-based real-time face recognition and face detection
    MMD Ranjini, MP Jeyaraj, MS Kumar, TA Prasath, G Prabhakar
    2023 4th International Conference on Electronics and Sustainable … , 2023
    2023
    Citations: 10
  • ANFIS PD Plus I control on simscape model of nonlinear physical system
    K Umamaheswari, G Prabhakar, K Viji, P Thanapal
    Journal of Control Engineering and Applied Informatics 23 (1), 50-59 , 2021
    2021
    Citations: 10
  • Surface plasmon resonance sensor with 2D materials for enhanced refractive index detection of chemical pollutants in seawater
    VN Kannan, G Prabhakar, N Ayyanar
    Optik 321, 172157 , 2025
    2025
    Citations: 9
  • Analysis on soft sensor design in Simulink
    S Muthuviswadharani, G Prabhakar, S Selvaperumal
    2016 International Conference on Advanced Communication Control and … , 2016
    2016
    Citations: 9
  • An integrated design of current conveyor II based analog PID controller and analyze the control by using PID tuning rule
    KV Sainath, G Prabhakar, S Selvaperumal
    Applied Mechanics and Materials 573, 242-247 , 2014
    2014
    Citations: 9
  • Fem based soft robotic gripper design for seaweed farming
    S Meenakshi, G Prabhakar, N Ayyanar, PN Pugazhenthi
    2023 International Conference on Energy, Materials and Communication … , 2023
    2023
    Citations: 7
  • A normalized Haar wavelet transformation based firefly optimization algorithm for power transmission line fault detection problems
    I Murugesan, P Gunasekaran, S Muthusamy, P Ramamoorthi
    Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 45 … , 2023
    2023
    Citations: 7
  • ANN-based maximum power point tracking for a large photovoltaic farm through wireless sensor networks
    K Annaraja, SS Sundaram, S Selvaperumal, G Prabhakar
    Current Signal Transduction Therapy 14 (1), 38-48 , 2019
    2019
    Citations: 7
  • GST-based surface plasmon resonance reconfigurable biosensor for detection of human sperm
    N Ayyanar, GN Rani, K Dharshini, G Madhumita, NR Ramanujam, ...
    Plasmonics 20 (3), 1261-1271 , 2025
    2025
    Citations: 6