Dr. Prabhakar Gunasekaran

@vsbec.com

Department of Electrical and Electronics Engineering
VSB Engineering College, Karur, Tamilnadu



              

https://researchid.co/prabhakar
37

Scopus Publications

251

Scholar Citations

8

Scholar h-index

7

Scholar i10-index

Scopus Publications

  • 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, and S. Rajaram
    Springer Science and Business Media LLC

  • 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, and S. Rajaram
    Springer Science and Business Media LLC


  • Study Review of Optical Biosensors Based on 2D Materials
    P. Sangeetha, N. Ayyanar, G. Prabhakar, and S. Rajaram
    Springer Science and Business Media LLC

  • GUI-Driven Real-Time PID Control Tool for Educational Virtual Systems
    , G. Ananthi, G. Prabhakar, and
    Rajarambapu Institute of Technology
    Abstract: 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

  • Preface


  • Securing the future: Regulatory compliance and standards for 5G and fiber optics in smart grid cyber defense
    Nedumal Pugazhenthi, Vijayakumar Kaliappan, Selvaperumal Sundarmoorthy, and Prabhakar Gunasekaran
    IGI Global
    Integrating smart grid technology with 5G and fiber optic systems offers significant improvements in efficiency and resilience, but also presents substantial cybersecurity challenges. This study examines the necessary standards and regulatory compliance for secure implementation, highlighting the importance of adhering to guidelines from organizations like 3GPP, ITU, IEEE, and IEC to ensure robust security and interoperability. Fiber optic infrastructure, essential for fast and secure data transmission, requires stringent physical security and advanced encryption techniques to protect against manipulation and attacks. Additionally, compliance with privacy laws such as GDPR is crucial for handling sensitive data. Organizations must continuously monitor and update their cybersecurity measures to address the evolving threat landscape, ensuring the integrity and reliability of smart grid infrastructures.


  • Design and fabrication of a softrobotic gripper for involving underwater vehicles in seaweed farming
    Prabhakar Gunasekaran, Meenakshi S., Jainulafdeen A., Ayyanar N., and Rajalakshmi Murugesan
    IGI Global
    Seaweeds, crucial components of marine ecosystems, thrive in marine and coastal waters, notably in the Gulf of Mannar Biosphere. Despite their ecological importance, certain seaweed species pose a threat to coral reefs due to the release of hydrophobic allelochemicals. Fisherwomen, risking their lives in collecting seaweed seed stock from littoral zones, rocky shores, and deep-sea waters, encounter hazards such as sharp rocks, poisonous algae, cyanobacteria, and coral reefs. Societal research pinpoints risks, overexploitation, unorganized harvesting, and algal blooms as significant issues. The proposed solution involves integrating intelligent Soft Robotic Grippers into underwater vehicles for precise seaweed farming without harming coral reefs. Abacus FEA software aids in deformation analysis, guiding the gripper's design to safeguard fisherwomen and preserve coral reefs.

  • 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, and Mithra Geetha
    Springer Science and Business Media LLC
    AbstractDesigning the control structures of fractional order PID controllers has proven to be effective in providing adaptability in set point tracing the performance of a nonlinear cruise control system. Wheel rolling resistance, wind drag force, and road gradient are incorporated into the design to better describe the system under consideration and to show how the nonlinear cruise control system behaves. This study presents a comparative investigation using simulation between control structures such as fractional order proportional–integral–derivative, fractional order integral minus proportional derivative, and fractional order proportional integral minus derivative. By preserving integral error indices as the goal function, a genetic algorithm is used to improve the controller gain parameters and fractional scaling values. To prevent integral windup conflicts and derivative boost issues, both traditional fractional order structures and adaptive neuro-fuzzy-based fractional order structures were used to create the adaptive cruise control system. The FO ANFIS PD plus I controller for the cruise control system exceeds the competition in servo and regulatory difficulties.

  • Secured IoT-Based Neighborhood Area Network for Real-Time Energy Data Management in Smart Grids
    G. Prabhakar and Kaviya S
    IEEE
    In modern smart grid systems, seamless communication between residential areas and central monitoring systems is essential for effective energy management and grid optimization. However, existing communication methods may lack scalability and efficiency. This research proposes an innovative IoT solution for smart grid communication within the Home Area Network (HAN). Voltage and current sensors, serving as smart meters, transmit electronic appliance usage data to NodeMCU devices, selected for cost-effectiveness and versatility in the HAN. Leveraging LoRaWAN for its long-range and low-power communication, a scalable Neighborhood Area Network (NAN) is established in residential areas. The system employs Advanced Encryption Standard (AES) for secure data transmission, addressing smart grid and metering challenges. A distributed metering infrastructure with bidirectional communication, self-configuration, and auto-update capabilities is introduced. Chirp spread spectrum (CSS) modulation ensures efficient data transfer for battery-operated NodeMCUs, exhibiting resistance to interference and multipath fading. The base station, a central communication hub, decrypts AES-encrypted data, processes information from various sources, and acts as the interface between the smart grid and consumers, offering personalized data and services. This comprehensive IoT solution enhances communication efficiency, security, and consumer interaction in smart grid environments, contributing to sustainable and reliable energy management.

  • FEM Based Soft Robotic Gripper Design For Seaweed Farming
    S. Meenakshi, G. Prabhakar, N. Ayyanar, and P. Nedumal Pugazhenthi
    IEEE
    Seaweeds are large algae that grow on rocky shorelines, in shallow coastal waters, and in marine environments. It plays a major role in marine ecosystems and is abundantly available in the Gulf of Mannar Biosphere region. However, some species of seaweed clash with coral reefs and damage them severely due to the release of hydrophobic allelochemicals. Conventional methods are often labor-intensive, which results in adverse environmental effects. The solution to this problem is to involve underwater vehicles for seaweed farming. But the existing underwater vehicles need some soft materials to handle the targeted seaweeds carefully, without affecting the coral reefs and other species in the sea.This study aims to develop a soft robotic gripper with pneumatic to grasp seaweed, which is abundantly available under the sea water nearer to coral reefs. The novel soft pneumatic robotic gripper design has been done for 8 chambers using Ansys Finite Element Analysis software. Gripper deformation analysis is carried out for different pressure levels to understand the behavior of the hyperelastic material.

  • Haar Cascade Classifier-based Real-Time Face Recognition and Face Detection
    M Monica Dhana Ranjini, M Paul Jeyaraj, M Senthil Kumar, T Arun Prasath, and G Prabhakar
    IEEE
    Face recognition is one of the most promising applications of image analysis that has gained a lot of attention recently. One may say that a sizable amount of facial recognition tasks involves face detection. Depending on how powerful it is, it can concentrate processing resources on the area of a picture that contains a face. Human faces vary in attitude, expression, location, orientation, and skin tone, making it difficult to identify faces in pictures. spectacles wearers or people with facial hair, camera gain, illumination, and image resolution. The main objective of face detection algorithms is to determine whether a face is visible in an image. The sophistication and accuracy of face detection and recognition have recently been the subject of numerous studies, but the Real-Time Face Detector created by the Viola-Jones Algorithm, which can accurately recognize faces in real-time, has caused a revolution in this area. Numerous detecting problems, including object, face, emotion, and face identification, have been successfully solved using neural networks. It is efficient to recognize objects using cascade classifiers based on Haar features. Face, eye, and smile detection using the Haar cascade classifier and facial recognition using OpenCV will both be implemented in this study utilizing the LBPH algorithm. If the individual is known, the accuracy of the image is predicted as well as face, eye, and grin detection using bounding boxes in the camera stream. The results are then displayed according to whether the person is known or one in the dataset.

  • Microgrid Energy Optimization and Realization by Means of Plug-in Electric Vehicles in both V2G - G2V Environment
    M. Ramachandran, G. Prabhakar, V. Nirmal Kannan, and A. Mariya Chithra Mary
    IEEE
    In recent years, the need for electricity for each home is rapidly increasing due to the number of inventions in electric appliances and electric vehicles being so high. The fast-growing gated community apartments and villas want their own microgrids to meet the needs of their own residents. In Electric Vehicles, Bi-directional power flow is made feasible by the power electronics used in the rechargeable batteries. Therefore, electric vehicles are considered as grid’s power bank Storing excess power in electric vehicle (EV) batteries through Grid-To-Vehicle (G2V) technology and returning the energy back to the grid through Vehicle-To-Grid (V2G) technology while demand is at its maximum can aid in the management of micro-grid energy. This research review analysis the architectural framework and control mechanisms to develop hierarchical energy management for energy sharing among V2G and G2V in terms of simulation. It uses fast EV charging in a microgrid. A dc speedy charging point is designed as part of a trial micro-grid system for connecting EVs. V2G-G2V power transfer, DC Bus voltage, Battery SOC and Battery Voltage and Current is demonstrated through simulation.

  • Development of Machine Learning Model to Detect Fault Data Injection Attack on Vehicle Following Systems
    S. Dharsini, G. Prabhakar, S. Rajaram, and J. Shanthi
    IEEE
    A Vehicle-following system is a system that controls a following vehicle to maintain a fixed distance and acceleration behind a preceding vehicle. Cyber attack is an issue on Vehicle following systems due to its wireless connectivity. Cyber dangers to physical systems result from this. As a result, controlling the action of the vehicle is necessary to stop the cyber attack, which causes the development of cyber physical system(CPS). CPS can be accessed and controlled remotely. Their features make them more easily vulnerable to cyber attacks. Fault Data Injection (FDI) attack is an attack that is mathematically fed into the altered Vehicle Following System and modeled to study the attack's effects. The Scope of this work is to develop a machine learning model by generating the cyberattack dataset by analyzing the Physical Model of Vehicle following system. Decision tree algorithm is used to detect the attack. It considerably raises FDI detection accuracy.

  • A normalized Haar wavelet transformation based firefly optimization algorithm for power transmission line fault detection problems
    Iyappan Murugesan, Prabhakar Gunasekaran, Suresh Muthusamy, and Ponarun Ramamoorthi
    Informa UK Limited
    ABSTRACT Through transmission lines (TLs), an electric power transmission system has been able to transmit power from generating stations to consumers. During transmission, various kinds of malfunctions take place and they are termed as a fault. Although fault is undesirable, it is unavoidable event hampering the smooth functioning of the power system. In power transmission systems, and a large number of voltage and current signal, distortions take place due to faults. Faults occur in power TL causing power supply interruption. Several fault detection techniques have been presented by researchers to detect a fault in TL. However, the time required to locate the fault remained higher and the power loss rate (PLR) was not reduced. To overcome these issues and identify faults in electrical power TL, Haar wavelet feature extraction-based firefly optimized fault detection (HWFE-FFOFD) method has been introduced. The power TL signal sample has been taken as an input. Zero-mean normalization is the pre-processing approach that converts the transmission signal sample into a specified range. To extort features (i.e. voltages and current values) with higher accuracy, the normalized signal has been given to Haar Wavelet Transform. Then, the extracted features at different time instants have been given to the firefly optimized fault detection (FFOFD) algorithm. In the FFOFD algorithm, extracted features have been considered as firefly populations. The FFOFD algorithm functions with the flashing behavior of a firefly. At last, the firefly position has been updated and ranked according to light intensity to detect a fault in electrical power TL. In this manner, the fault detection time (FDT) gets reduced using HWFE-FFOFD method. HWFE-FFOFD method is evaluated in FEA, FDT, and PLR. From the experimental results obtained, it can be confirmed that the HWFE-FFOFD method has been able to enhance accuracy by 14% and minimize time by 26% and PLR by 62% when compared to conventional methods.

  • A smart IoT-based solar power monitoring system


  • Fault Detection and Classification in Micro Grid Using AI Technique
    B. Koushik Aryan, O. Sobhana, G.C. Prabhakar, and N. Amarnadh Reddy
    IEEE
    This paper presents a method for detecting faults in a micro grid using Artificial intelligence (AI). As we know fault detection is very important for microgrids and by using AI we can make the microgrid as smart grid as it can detect the faults itself by using artificial intelligence methods. Here the microgrid model consists of a diesel generator, a solar photovoltaic system, and a wind generator. Grid integration of solar and wind energy sources with diesel generation system can have faults which need to be detected and cleared as soon as possible as it is combination of three generation systems and lots of parameters included. In Simulink model, the microgrid's normal functioning and fault scenarios are simulated. The fault conditions simulated represent faults encountered by a distribution line. The AI based RBF classifier is trained using voltage and current samples. To foresee the performance of algorithm classification rate is stated in terms of the statistical metrics.

  • IoT-based Intelligent Mobile Application for Shopping
    M. Balamurugan, G. Prabhakar, G. Amsaveni, M. Karthikumar, J. Jasmin Shifa, and E. Sharmila
    IEEE
    Shopping is an essential part of human life. Nowadays, when we want to buy something from a store, it’s critical for us because we have to wait for two reasons. The first step is to inspect the purchased item. The second step is to make the payment. Nowadays, shopping is essential, and it becomes even more complicated during festival seasons. People find it difficult to shop physically because all of the stores are overcrowded, and also people have to wait in line for a long time to verify the items purchased and pay bills. This research study proposes a novel system to easily handle these complexities. IoT connects the system to the user’s mobile device and a computer available in the shop. All the details are updated in both the mobile application and server once an item is added in the cart with the price and total amount. The payment link is added once they complete shopping, so user can pay with ease and there will be no waiting time in the queue to verify the amount and the list of items purchased.

  • Self-Balancing Vehicle Based on Adaptive Neuro-Fuzzy Inference System
    M. L. Ramamoorthy, S. Selvaperumal, and G. Prabhakar
    Computers, Materials and Continua (Tech Science Press)


  • ANFIS PD Plus I Control On Simscape Model of Nonlinear Physical System


  • Power management storage through local consumer demand control using IOT
    Iyappan M., G. Prabhu, S. Suganth, S. Vigneshwaran, and G. Prabhakar
    Elsevier BV
    Abstract The power management scheme has implemented in microgrid system. (IOT) Internet of Things with electronic microcontroller is used to overcome the electricity demand. Let the fastest growing of the electronic devices and that elements load need an entire electricity demand. The proper preposition method is also one of the possible solutions to control the energy demand by using an IOT (Internet of Things). This project describes the smart energy management system using IOT Based system consumer load management. Grid based applications integrated with EV application. Consumer based service implemented with grid applications integrated IOT system for analysis the demand of the system.

  • Online optimization based model predictive control on two wheel Segway system
    G. Prabhakar, S. Selvaperumal, P. Nedumal Pugazhenthi, K. Umamaheswari, and P. Elamurugan
    Elsevier BV
    Abstract The current work explores the modelling, control and realistic execution of nonlinear segway system in both simulation and real-time. The Segway vehicle has been considered as a physical system that is nonlinear and unstable. Equations of motions have been derived using Lagrangian dynamics by considering kinetic energy and potential energy. Then, the nonlinear differential equations have linearised using Taylor series expansion of functions to acquire a state space model of the system and convert it into two transfer functions that corresponds to tilt angle and yaw angle. These are the control parameters to stabilize the Segway system. Effective simulation analysis of nonlinear control is made up with PID, GA Tuned PID and Model Predictive controller (MPC) by MATLAB. And also, an electro-mechanical model of Segway vehicle has developed for real-time control analysis. It is autonomously sensed and actuated through embedded processor to meet the desired response. An online optimization technique has involved solving dynamic optimization problems in MPC for superior performance. This innovative realisation paves the approach for the young researchers to consider the essence of analysis in nonlinear applications.

  • Detection of Moving Object in Dynamic Visual Sequences Based on Partial Least Squares Classifier
    Shyamala Balakumar, Selvaperumal Sundaramoorthy, Ramasubramanian Bhoopalan, and G. Prabhakar
    Springer Science and Business Media LLC
    Detection of moving object from a visual sequence plays a vital role for the tracking of object. The main objective of this proposed work is to detect and classify the various video sequences with the help of different classification algorithms. The input video sequences from the publicly available datasets are collected and the individual frames are extracted. These frames are pre-processed and then applied to the novel background subtraction process. Important features based on the Local Binary Pattern (LBP) and grey level co-efficient are extracted. Finally these features are classified by three different classifiers like SVM, PLS, and PNN. The performance of these different classifiers are evaluated and compared. It is found that PLS classifier produces more classification accuracy but with more computation time.

RECENT SCHOLAR PUBLICATIONS

  • 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

  • Study Review of Optical Biosensors Based on 2D Materials
    P Sangeetha, N Ayyanar, G Prabhakar, S Rajaram
    Plasmonics, 1-15 2025

  • GUI-Driven Real-Time PID Control Tool for Educational Virtual Systems
    G Ananthi, G Prabhakar
    Journal of Engineering Education Transformations 38 (2) 2024

  • 5G and Fiber Optics Security Technologies for Smart Grid Cyber Defense
    G Prabhakar, N Ayyanar, S Rajaram
    IGI Global 2024

  • GST-based surface plasmon resonance reconfigurable biosensor for detection of human sperm
    N Ayyanar, GN Rani, K Dharshini, G Madhumita, NR Ramanujam, ...
    Plasmonics, 1-11 2024

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • Power management storage through local consumer demand control using IOT
    M Iyappan, G Prabhu, S Suganth, S Vigneshwaran, G Prabhakar
    Materials Today: Proceedings 33, 3775-3781 2020

  • 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

  • Detection of moving object in dynamic visual sequences based on partial least squares classifier
    S Balakumar, S Sundaramoorthy, R Bhoopalan, G Prabhakar
    Journal of Medical Systems 43 (8), 259 2019

  • 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

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
    Citations: 58

  • 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
    Citations: 55

  • 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
    Citations: 25

  • Performance investigation of SHE PWM implementation of GA based LCL resonant inverter in marine applications
    S Selvaperumal, S Muralidharan, PN Pugazhenthi, G Prabhakar, ...
    NISCAIR-CSIR, India 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
    Citations: 15

  • Performance investigation of genetic algorithm based LCL resonant converter in marine applications
    S Selvaperumal, S Vijayarajan, PN Pugazhenthi, G Prabhakar, ...
    NISCAIR-CSIR, India 2016
    Citations: 14

  • An efficient approach for real time tracking of intruder and abandoned object in video surveillance system
    G Prabhakar, B Ramasubramanian
    International Journal of Computer Applications 54 (17) 2012
    Citations: 13

  • 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
    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
    Citations: 11

  • 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
    Citations: 9

  • Analysis on soft sensor design in Simulink
    S Muthuviswadharani, G Prabhakar, S Selvaperumal
    2016 International Conference on Advanced Communication Control and 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
    Citations: 9

  • 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
    Citations: 7

  • 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
    Citations: 6

  • 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
    Citations: 4

  • Design Of H-Shape Wideband Microstrip Patch Antenna With Slots For Wireless Communication
    BS Niboriya, C Choudhary, G Prabhakar
    International Journal of Engineering Research & Technology, IJERT 2 (6) 2013
    Citations: 4

  • An Integrated an Efficient Approach for Enhanced Medical Image Compression using SPIHT and LZW Coding
    G Prabhakar, B Ramasubramanian
    International Journal of Scientific Engineering Research 4 (2) 2013
    Citations: 4

  • GST-based surface plasmon resonance reconfigurable biosensor for detection of human sperm
    N Ayyanar, GN Rani, K Dharshini, G Madhumita, NR Ramanujam, ...
    Plasmonics, 1-11 2024
    Citations: 3

  • 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
    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
    Citations: 3