Dr. N.Suthanthira Vanitha

@mec.edu.in

Professor/EEE and Dean-Quality Assurance
Muthayammal Engineering College (Autonomous)

Dr. N.Suthanthira Vanitha


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https://researchid.co/varmans03

RESEARCH, TEACHING, or OTHER INTERESTS

Engineering, Electrical and Electronic Engineering, Biomedical Engineering, Renewable Energy, Sustainability and the Environment
60

Scopus Publications

1457

Scholar Citations

18

Scholar h-index

27

Scholar i10-index

Scopus Publications

  • Smart devices: A review of opportunities, applications, and challenges in smart industries
    D. Anbuselvi, S. GraceInfantiya, D. Bharath, N. Suthanthira Vanitha
    Transforming the Service Sector with New Technology, 2025
    Data and correspondence innovation is going through fast turn of events, and numerous troublesome advancements, for example, distributed computing, Web of Things, enormous information, and man-made reasoning, have arisen. These advancements are pervading the assembling business and empower the combination of physical and virtual universes through digital actual frameworks (CPS), which mark the appearance of the fourth phase of modern creation (i.e., Industry 4.0) Web of Things (IoT) is a quickly developing imaginative innovation with different applications, works and administrations in daily existence and in a large number of business sectors and enterprises. It can be described as a global, dynamic information network whose goal is the mutual interconnection and interaction of people, services, and devices at any time and in any location. It also includes devices and objects that are connected to each other.
  • Emerging Trends and Future Developments in Smart Materials and Their Applications: A Comprehensive Review
    S. Grace Infantiya, D. Anbuselvi, N. Suthanthira Vanitha
    New Frontiers in Materials Science Interdisciplinary Approaches to Innovation and Technologies, 2025
    The advancement of material science and nanotechnology has materialized as a transformative field, with widespread implications in an assortment of science and industrial realms. Within this panorama, technologically advanced (smart) nanomaterials—engineered materials with tailored attributes—are in the limelight of innovations. This proposed chapter portrays an extensive overview of smart nanomaterials, emphasizing their importance in material science and groundbreaking applications. Smart nanomaterials are distinguished by their unique ability to adapt dynamically to external stimuli, including temperature, pH, light, electromagnetic radiation, and mechanical stresses. Smart nanomaterials can alter their chemical and physical attributes in anticipation of particular stimuli, making them extremely adaptable and advantageous in an array of applications, from targeted drug delivery systems in biomedicine to adaptive materials in electronics and energy storage. The incorporation of smart nanomaterials into multiple technologies symbolizes an important breakthrough in the way we approach and resolve multifaceted challenges. Their nanoscale magnitude promotes a high surface area-to-volume ratio, facilitating sensitivity and interaction with other kinds of material. Furthermore, the potential to optimize their characteristics at the atomic or molecular level enables the development of materials with specialized functionality. This accuracy in design leads to momentous enhancements in performance and proficiency across various applications. The chapter unveils an overview of the basic concepts of nanotechnology and materials science, laying the groundwork for comprehending the unique characteristics of smart nanomaterials. It examines the development of nanotechnology, highlighting major milestones and achievements that have paved the path for contemporary advances. Following this, the chapter discusses the synthesis and characterization of smart nanomaterials. It includes sophisticated manufacturing techniques including self-assembly, sol–gel processes, electrospinning, and lithography. These techniques provide exact control over the size, shape, and composition of smart nanomaterials, which is critical for designing their responsive behaviors. The primary focus of this chapter is on the different implementations of smart nanomaterials across several fields: Biomedical Applications: Smart nanomaterials are transforming healthcare through advances in medication delivery, allowing them to target specific cells or tissues, minimizing adverse effects and increasing therapeutic effectiveness. They are also employed in diagnostic imaging and biosensors, which allow for real-time illness monitoring and diagnosis. Environmental Applications: Smart nanomaterials are utilized in pollution monitoring and water, as well as air purifications. Their capacity to absorb and the decompose harmful substances at the molecular level makes them advantageous in resolving ecological problems and fostering sustainability. Energy Applications: Smart nanomaterials are employed in the energy industry to fabricate more effective and robust solar cells, batteries, and supercapacitors. Their particular features enable more efficient energy storage and conversion, which is critical for the advancement of renewable energy technology. Electronic and Smart Technologies: The incorporation of smart nanomaterials into electronic gadgets promotes the production of versatile, portable, and responsive electronics. These materials improve the efficiency and functioning of devices such as actuators, sensors, and other components used in smart technology and the Internet of Things (IoT). The chapter eventually ends with an examination of the future potential and challenges associated with smart nanomaterials. It examines the ethical and environmental implications of nanotechnology, highlighting the significance of responsible research and application. This chapter intends to stimulate future research and innovation in the rapidly evolving field of smart nanomaterials by offering an unambiguous understanding of their enormous potential. It is an invaluable resource for researchers, technologists, and students, providing insights into the concepts, applications, and potential futures associated with intelligent (smart) nanomaterials. To summarize, smart nanomaterials are a vital junction of material science and nanotechnology, providing unparalleled prospects for expansion across multiple industries. This chapter emphasizes their significance, the novel uses they promote, and the future opportunities they promise for research and industry.
  • Advancements in Nanomaterial Integration for Enhanced Biosensing Applications: Focus on Field Effect Transistor (FET)-Based Devices
    S. Grace Infantiya, D. Anbuselvi, C. Kathiravan, N. Suthanthira Vanitha, T. Narmadha
    Nano Fet Devices Miniaturization Simulation and Applications Part 2, 2025
    The accelerating advancement of nanoscience and nanotechnology has established an explosion of potential opportunities for the fabrication of miniaturized nanostructured components with specialized applications in biology, electronics, chemistry, mechanics, and computational functions. This has a huge impact on the special field of biosensors, empowering the fabrication of extremely sensitive, compact, and effective diagnostic equipment. Notably, among these aforementioned advances, the nano-based Field-Effect Transistor (NFET) serves as an attractive candidate for biosensor applications owing to its remarkable attributes, including label-free detection, a high level of sensitivity, rapid response times, continuous measurement capabilities, low consumption of electricity, and potential for miniaturization into compact devices. Each of these traits combines to make nano-based FET biosensors, an interesting and robust technology for a variety of biomedical applications. In recent years, the integration of semiconducting materials, polymers, and carbon-based biocompatible nanomaterials has significantly revolutionized biosensing applications. These materials have been strategically incorporated into various nanostructures to elevate the efficacy and sensitivity of biosensing devices, particularly in the realm of field-effect transistor (FET)- based systems. This proposed book chapter aims to explore the burgeoning landscape of biocompatible nanomaterials and their role in the evolution of biosensing technologies. The utilization of nanomaterials, including metal nanoparticles, polymer nanocomposites, and carbon-based structures, has offered unique opportunities to enhance the performance and reliability of biosensors. Overall, the chapter strives to deliver an inclusive examination of the advancements including potential future directions in the realm of biocompatible nanomaterials, specifically focusing on their integration into FET-based biosensing devices. It aspires to be an essential resource for researchers, scientists, and practitioners in the field of nanotechnology and biosensing
  • Advances in the Design and Application of Next- Generation Carbon-Based Field-Effect Transistor Biosensors
    D. Anbuselvi, S. Grace Infantiya, N. Suthanthira Vanitha, T. Divya, C. Kathiravan
    Nano Fet Devices Miniaturization Simulation and Applications Part 2, 2025
    The proposed book chapter aims to present a comprehensive review of nanomaterial-based biosensors utilizing field-effect transistors (FETs), exploring their diverse applications, advancements, and future potentials. The focus will be on examining the integration of carbon-based nanomaterials into FET-based biosensors and their role in revolutionizing biosensing technologies. Field effect-based biosensors (BioFETs) stand out among other biosensing technologies due to their unique features such as real-time screening, ultrasensitive detection, low cost, and amenability to extreme device miniaturization due to the convenient utilization of nanoscale materials. FETbased sensors operate on the principle that changes in the surrounding environment, such as alterations in temperature, pressure, gas concentration, or biological elements, modulate the electrical characteristics of the transistor. The integration of carbon-based nanomaterials into biosensing applications has emerged as a transformative development, significantly augmenting the efficacy and sensitivity of detection devices, particularly within the domain of field-effect transistor (FET) based technologies. The intent is to provide a holistic view of how these advancements have contributed to improving detection capabilities and to outline potential avenues for further research and applications in the field of biosensing.
  • The Future Outlook for Field Effect Transistors Using Carbon Nanotubes
    C. Kathiravan, Gowrishankar J., S. Grace Infantiya, D. Anbuselvi, N. Suthanthira Vanitha
    Nano Fet Devices Miniaturization Simulation and Applications Part 2, 2025
    Carbon Nanotube Field Effect Transistors (CNTFETs) are potential nanoscaled devices for realising high-performance, very dense, and low-power circuits. A Carbon Nanotube Field Effect Transistor is a FET that uses a single CNT or an array of CNTs as the channel material rather than bulk silicon as in a standard MOSFET configuration. A carbon nanotube is at the heart of a CNTFET. This paper provides an overview of CNTFETs-pH sensor based on carbon nanotubes (CNTs)-FETs-pH measurement range of 1.34 to 12.68, reliability, and low hysteresis, indicating a promising application prospect in harsher testing environments. The determination of carbamate pesticides-adjusting the VTH revealed that carbaryl and carbofuran additions had a favorable effect on the CFO/s-SWCNT-FET and structure. In this chapter, modeling, fabrication, and applications have been discusseddevices.
  • Exploring Generative Artificial Intelligence for Transformative Healthcare Applications
    N. Suthanthira Vanitha, M. Shenbagapriya, R. Ramani, A. Karthikeyan, K. Radhika, D. Anbuselvi
    Exploring Generative AI with Computational Intelligence Navigating the Uncertainty of Creative Machines, 2025
  • A Review of Nanostructure Field Effect Transistor Devices in Healthcare Applications
    N. Suthanthira Vanitha, K. Radhika, D. Anbuselvi, C. Kathiravan, S. Grace Infantiya, A. Kalaiyarasan
    Nano Fet Devices Miniaturization Simulation and Applications Part 2, 2025
    The evolution of the Nanostructure Field Effect Transistor (Nano FET) has provided significant progress in healthcare applications. Inherent properties such as easy integration, high sensitivity, and better selectivity increased the role of Nano FET devices in wearable electronic devices. Nano FET biosensors have placed great attention in the biomedical field, which performs label-free biomolecule sensing to screen out various diseases. The detection includes cancer biomarkers, cardiovascular diseases, diabetes, HIV/AIDS, DNA and RNA, and viral and bacterial infections. This chapter discusses the overview of diverse applications in healthcare, challenges, and future technologies of NanoFET devices.
  • Economic impacts on renewable energy storage system solar, wind, and hydro power: A review
    Digital Innovations for Renewable Energy and Conservation, 2024
  • Integration of cloud and edge computing in distributed renewable energy systems
    Digital Innovations for Renewable Energy and Conservation, 2024
  • Combined localization and clustering approach for reduced energy presumption in heterogeneous IoT
    Jasmine Xavier A, Suthanthira Vanitha N, Sudha G, Birunda M
    Physica Scripta, 2024
    The field of H-IoT is emerging with enormous potential to empower various technologies. Smart cities and advanced manufacturing are a few of the fields where H-IoT is currently used. The issue with H-IoT is its heavy energy consumption while transmitting data, which makes scaling difficult. To overcome such issues, a hybrid approach of Crayfish Optimization (CFO) with FCM and Restricted Boltzmann Machine (RBM) with Soft Sign Activation (SSA) has been proposed. Initially, Node initialization lays the foundation by configuring individual sensor nodes for network participation. After initialization, Fuzzy C Means clustering optimizes data aggregation by categorizing nodes into clusters based on similarity. Gathering Neighbor Node Traffic Data (NNTD) provides insights into communication patterns. Based on the threshold of NNTD, node localization is performed that enhances network accuracy by pinpointing sensor node locations. Integration of CFO into clustering, along with localization further improves cluster head selection for optimal data routing. Classification through the RBM with SSA function enhances anomaly detection, combining data analysis for optimizing energy utilization in heterogeneous IoT environments. The ‘combined CFO-FCM and SSA-RBM’ has been implemented in MATLAB and achieved an accuracy of 94.50%. As a result, the overall performance of the system is improved.
  • A review of artificial emotional intelligence for human-computer interactions: Applications and challenges
    N. Suthanthira Vanitha, B. Niranjana Devi, A. Karthikeyan, K. Radhika, D. Anbuselvi, S. Grace Infantiya
    Harnessing Artificial Emotional Intelligence for Improved Human Computer Interactions, 2024
  • Eco-friendly smart agricultural process using artificial intelligence: Economic benefits
    K. Gunasekaran, Sampath Boopathi, S. Suresh, P. Suresh, N. Suthanthira Vanitha, K. Radhika
    Reshaping Environmental Science Through Machine Learning and Iot, 2024
  • Hybrid Electrical Vehicle Designs
    Electric Vehicle Design Design Simulation and Applications, 2024
  • Design and experimental analysis of novel window mill vertical axis wind turbine
    N. Suthanthira Vanitha, L. Manivannan, A. Karthikeyan, K. Radhika, T. Meenakshi
    International Journal of Engineering Systems Modelling and Simulation, 2024
  • A Review of Electric Vehicles: Technologies and Challenges
    Electric Vehicle Design Design Simulation and Applications, 2024
  • Applications of nanofluids in healthcare: Future perspectives
    K. Radhika, N. Suthanthira Vanitha, D. Anitha, K. Bashkaran, K. Shemalaa Ganthi
    Sustainable Utilization of Nanoparticles and Nanofluids in Engineering Applications, 2023
  • NanoTechnology in cosmetics and cosmeceuticals: Future direction and safety
    N. Suthanthira Vanitha, K. Radhika, G. Sudarmozhi, G. Kavitha, M. Shenbagapriya
    Sustainable Utilization of Nanoparticles and Nanofluids in Engineering Applications, 2023
  • Improved Ant Colony Optimization and Machine Learning Based Ensemble Intrusion Detection Model
    S. Vanitha, P. Balasubramanie
    Intelligent Automation and Soft Computing, 2023
  • Electric Vehicle Battery Charging in Grid System using Fuzzy based Bidirectional Converter
    A. Karthikeyan, N. Suthanthira Vanitha, T. Meenakshi, R. Ramani, S. Murugan
    3rd International Conference on Innovative Mechanisms for Industry Applications Icimia 2023 Proceedings, 2023
  • IoT-Integrated Wearable Skin Sensors for UV Exposure Monitoring and Sun Protection
    R. Ramani, T. Meenakshi, N. Suthanthira Vanitha, A. Karthikeyan, S. Sujatha
    International Conference on Self Sustainable Artificial Intelligence Systems Icssas 2023 Proceedings, 2023
  • IoT Enhanced Induction Motor Drive in Electric Vehicle Propulsion Using Field Oriented Control
    N. Suthanthira Vanitha, A. Karthikeyan, R. Ramani, T. Meenakshi, S. Sujatha
    7th International Conference on Electronics Communication and Aerospace Technology Iceca 2023 Proceedings, 2023
  • Power Quality Monitoring of a Photovoltaic System Through IoT
    T. Meenakshi, R. Ramani, A. Karthikeyan, N. Suthanthira Vanitha, S. Murugan
    International Conference on Sustainable Communication Networks and Application Icscna 2023 Proceedings, 2023
  • Wide-area measurement systems and phasor measurement units
    M. Maheswari, N. Suthanthira Vanitha, N. Loganathan
    Power Systems, 2021
  • Role of smart metering and implementation issues in smart grid
    Maheswari Maruthakutti, Loganathan Nachimuthu, Suthanthira Vanitha N.
    Optimizing and Measuring Smart Grid Operation and Control, 2020
  • Copper (0) mediated single electron transfer-living radical polymerization of Methyl Methacrylate: Functionalized Graphene as a convenient tool for radical initiator
    Adhigan Murali, Srinivasan Sampath, Boopathi Appukutti Achuthan, Mohan Sakar, Suryanarayanan Chandrasekaran, N. Suthanthira Vanitha, R. Joseph Bensingh, M. Abdul Kader, Sellamuthu N. Jaisankar
    Polymers, 2020
  • A Novel Cluster Based Routing Protocol in Delay Tolerant Networks for Consistency and Energy Efficiency
    Balaji R, Vigneshwar Manokar, Nandhini V M, S. Shankar, S. Vanitha, Sakila Banu Ali
    2020 6th International Conference on Advanced Computing and Communication Systems Icaccs 2020, 2020
  • Modelling of intelligent transportation system for human safety using IoT
    N. Suthanthira Vanitha, J. Karthikeyan, G. Kavitha, K. Radhika
    Materials Today Proceedings, 2020
  • Stability analysis of quadrotor using state space mathematical modeling
    N. Suthanthira Vanitha, L. Manivannan, T. Meenakshi, K. Radhika
    Materials Today Proceedings, 2020
  • Parametric impact analysis on transformer based dual output Quasi Z DC-DC converter
    T. Meenakshi, N. Suthanthira Vanitha, K. Radhika, M. Maheshwari
    Materials Today Proceedings, 2020
  • Energy efficient secure clustering and intrusion detection with resource utilization in mobile adhoc networks
    A. D. Khamalakhannen, Suthanthira Vanitha
    2017 International Conference on Algorithms Methodology Models and Applications in Emerging Technologies Icammaet 2017, 2017
  • The improved performance of mobile adhoc network using genetic algorithm and other methods
    A. D Khamalakhannen, Suthanthira Vanitha
    Journal of Computational and Theoretical Nanoscience, 2017
  • Design of energy efficient multilevel inverter for photovoltaic based rural pump drive applications
    Ecology Environment and Conservation, 2017
  • Modified multilevel quasi z inverter for solar irrigation systems with improved control technique
    T. Meenakshi, N. Suthanthira Vanitha
    Proceedings of IEEE International Conference on Advances in Electrical Technology for Green Energy 2017 Icaetgt 2017, 2017
  • Feature selection optimization using artificial immune system algorithm for identifying Dementia in MRI images
    S. Valarmathy, N. Suthanthira Vanitha
    Journal of Medical Imaging and Health Informatics, 2017
  • Modeling and simulation of novel stepped DC coupled quasi Z-Multilevel Inverter for single phase systems
    T. Meenakshi, N. Suthanthira Vanitha
    Archives of Electrical Engineering, 2016
  • Computer aided detection of tumors in mammograms using optimized adaboost
    R Ramani, N. Suthanthira Vanitha
    Journal of Computational and Theoretical Nanoscience, 2016
  • Secure and energy efficient dynamic clustering scheme in Mobile Adhoc networks
    Asian Journal of Information Technology, 2016
  • Dual voltage control of reduced switch hybrid Quasi Z multilevel inverter for isolated energy systems
    Journal of Electrical Engineering, 2016
  • Hybrid artificial immune systems for classification on MRI brain images
    Iioab Journal, 2016
  • Improved performance of hybrid electric vehicles with novel reduced switch multilevel Quasi Z inverter
    Journal of Electrical Engineering, 2016
  • Certain investigations on power generation using repulsive magnets and new stepped DC coupled quasi Z-inverter
    Meenakshi THILLAINAYAGAM, Suthanthira Vanitha NARAYANAN, Sujithkumar SIVARAMAN
    Turkish Journal of Electrical Engineering and Computer Sciences, 2016
  • A unified approach to detect the record duplication using BAT algorithm and fuzzy classifier for health informatics
    P. Senthilkumar, N. Suthanthira Vanitha
    Journal of Medical Imaging and Health Informatics, 2015
  • Identification of open-switch and short-switch failure of multilevel inverters through DWT and ANN approach using LabVIEW
    E. Parimalasundar, N. Suthanthira Vanitha
    Journal of Electrical Engineering and Technology, 2015
  • S-transform based time-frequency analysis of leakage current signals of transmission line insulators under polluted conditions
    A. Natarajan, Suthanthiravanitha Narayanan
    Journal of Electrical Engineering and Technology, 2015
  • Fault diagnosis of multilevel cascaded inverter using multi layer perceptron network
    E. Parimalasundar, N. Suthanthira Vanitha
    Research Journal of Applied Sciences Engineering and Technology, 2015
  • Evaluating classification methods for computed tomography medical images
    International Journal of Applied Engineering Research, 2015
  • Computer aided detection of tumors in mammograms using optimized support vector machines
    Arpn Journal of Engineering and Applied Sciences, 2015
  • Model and design of a fuzzy-based Hopfield NN tracking controller for standalone PV applications
    R. Arulmurugan, N. Suthanthiravanitha
    Electric Power Systems Research, 2015
  • Fault strategy analysis for three-phase cascaded multi-level inverter
    E. Parimalasundar, N. Suthanthira Vanitha
    Research Journal of Applied Sciences Engineering and Technology, 2015
  • Artificial neural network approach in transmission line with prpd statistical analysis
    International Journal of Applied Engineering Research, 2015
  • Maximum power tracking for PV generating system using novel optimized fractional order open circuit voltage-FOINC method
    Arulmurugan Ramasamy, N. Suthanthira Vanitha
    2014 International Conference on Computer Communication and Informatics Ushering in Technologies of Tomorrow Today Iccci 2014, 2014
  • Improved fractional order VSS Inc-Cond MPPT algorithm for photovoltaic scheme
    R. Arulmurugan, N. Suthanthiravanitha
    International Journal of Photoenergy, 2014
  • An intelligent novel FLC based FOINC MPPT technique for PV applications
    Arulmurugan R., N. Suthanthira Vanitha
    2014 International Conference on Advances in Electrical Engineering Icaee 2014, 2014
  • Adaptive fuzzy logic control based optimal Hopfield neural network of standalone photovoltaic system with battery storage
    R. Arulmurugan, N. Suthanthiravanitha
    Journal of Renewable and Sustainable Energy, 2014
  • Investigations on solar water pumping system with extended self boost quasi impedance-source inverter
    T. Meenakshi, N. S. Vanitha, K. Rajambal
    2013 International Conference on Energy Efficient Technologies for Sustainability Iceets 2013, 2013
  • Investment cost evaluation and sizing approach of isolated residential PV scheme
    Arulmurugan Ramasamy, Suthanthira Vanitha N
    International Journal of Simulation Systems Science and Technology, 2013
  • Intelligent fuzzy MPPT controller using analysis of DC to DC novel buck converter for photovoltaic energy system applications
    R. Arulmurugan, N. Suthanthira Vanitha
    Proceedings of the 2013 International Conference on Pattern Recognition Informatics and Mobile Engineering Prime 2013, 2013
  • Numerical analysis of incremental conductance with cyclic measurement of the MPPT algorithm for PV power generation
    R. Arulmurugan, N.S. Vanitha
    Iet Seminar Digest, 2013
  • Optimal design of DC to DC boost converter with closed loop control PID mechanism for high voltage photovoltaic application
    R. Arulmurugan, N. Suthanthira Vanitha
    International Journal of Power Electronics and Drive Systems, 2012
  • Magnetic and inertial orientation tracking for inserting humans into networked synthetic environment
    International Journal of Soft Computing, 2006

RECENT SCHOLAR PUBLICATIONS

  • Energy Efficient Harvesting Technologies for Wireless Sensor Networks: An Overview
    NS Vanitha, M Shenbagapriya, A Karthikeyan, S Valarmathy, K Radhika, ...
    Energy Efficient Internet of Things‐Based Wireless Sensor Network, 591-606 , 2026
    2026
  • Energy Efficient Internet of Things and Wireless Sensor Networks in Smart Agriculture
    NS Vanitha, G Sudha, J Gowrishankar, K Radhika, A Kalaiyarasan, ...
    Energy Efficient Internet of Things‐Based Wireless Sensor Network, 429-452 , 2026
    2026
  • Mechatronic Systems in Smart Agriculture: Potentials and Challenges
    NS Vanitha, K Radhika, M Thangamani
    Advanced Explorations in Machine Learning, Computer Vision, and IoT, 109-133 , 2026
    2026
  • A Review on Artificial Intelligence for Smart Agriculture
    NS Vanitha, J Gowrishankar, G Sudha, K Radhika, CS Satheesh, ...
    New Technologies in Agronomy for Sustainability, 77-102 , 2026
    2026
  • Quantum Computing for Sustainable Agriculture: Essentials and Prospects
    NS Vanitha, K Radhika
    Revolutionizing Sustainable Food Production With Quantum Computing, 1-26 , 2026
    2026
  • A systematic review of smart healthcare equity using IoT and augmented/virtual reality
    D Anbuselvi, S GraceInfantiya, NS Vanitha
    Virtual Internet of Things, 39-60 , 2025
    2025
  • A review on integration of Virtual Internet of Things (VIoT) for smart healthcare
    NS Vanitha, B Nirajenadevi, K Radhika, SK Devi, G Sudha, A Mubarakali
    Virtual Internet of Things: Smart Environments, Smart Healthcare, Industry 4 … , 2025
    2025
  • A systematic review of smart healthcare equity using IoT and augmented/virtual
    D Anbuselvi, S GraceInfantiya, NS Vanitha
    Virtual Internet of Things: Smart Environments, Smart Healthcare, Industry 4 … , 2025
    2025
  • Exploring Generative Artificial Intelligence for Transformative Healthcare Applications
    NS Vanitha, M Shenbagapriya, R Ramani, A Karthikeyan, K Radhika, ...
    Exploring Generative AI with Computational Intelligence, 280-301 , 2025
    2025
  • Advances in the Design and Application of Next-Generation Carbon-Based Field-Effect Transistor Biosensors
    D Anbuselvi, SG Infantiya, NS Vanitha, T Divya, C Kathiravan
    Nano-FET Devices: Miniaturization, Simulation, and Applications (Part 2 … , 2025
    2025
  • The Future Outlook for Field Effect Transistors Using Carbon Nanotubes
    C Kathiravan, J Gowrishankar, SG Infantiya, D Anbuselvi, NS Vanitha
    Nano-FET Devices: Miniaturization, Simulation, and Applications (Part 2), 72-109 , 2025
    2025
  • A Review of Nanostructure Field Effect Transistor Devices in Healthcare Applications
    NS Vanitha, K Radhika, D Anbuselvi, C Kathiravan, SG Infantiya, ...
    Nano-FET Devices: Miniaturization, Simulation, and Applications (Part 2 … , 2025
    2025
  • Advancements in Nanomaterial Integration for Enhanced Biosensing Applications: Focus on Field Effect Transistor (FET)-Based Devices
    SG Infantiya, D Anbuselvi, C Kathiravan, NS Vanitha, T Narmadha
    Nano-FET Devices: Miniaturization, Simulation, and Applications (Part 2 … , 2025
    2025
  • Emerging Trends and Future Developments in Smart Materials and Their Applications: A Comprehensive Review
    SG Infantiya, D Anbuselvi, NS Vanitha
    New Frontiers in Materials Science: Interdisciplinary Approaches to … , 2025
    2025
    Citations: 2
  • Smart Devices: A Review of Opportunities, Applications, and Challenges in Smart Industries
    D Anbuselvi, S GraceInfantiya, D Bharath, NS Vanitha
    Transforming the Service Sector With New Technology, 437-446 , 2025
    2025
  • A Review of Electric Vehicles: Technologies and Challenges
    NS Vanitha, L Manivannan, K Radhika, A Karthikeyan, T Meenakshi
    Electric Vehicle Design: Design, Simulation and Applications, 81-99 , 2024
    2024
    Citations: 6
  • Hybrid Electrical Vehicle Designs
    T Meenakshi, K Mahendran, NS Vanitha, C Shanmugam
    Electric Vehicle Design: Design, Simulation and Applications, 197-214 , 2024
    2024
  • Development and characterization of cellulose acetate-based Li-ion conducting membrane and its application in energy storage devices
    C Shanmugapriya, S Selvasekarapandian, N Vanitha, SA Hazaana, ...
    Ionics 30 (2), 799-817 , 2024
    2024
    Citations: 12
  • Design and experimental analysis of novel window mill vertical axis wind turbine
    NS Vanitha, L Manivannan, A Karthikeyan, K Radhika, T Meenakshi
    International Journal of Engineering Systems Modelling and Simulation 15 (6 … , 2024
    2024
  • A review of artificial emotional intelligence for human-computer interactions: Applications and challenges
    NS Vanitha, BN Devi, A Karthikeyan, K Radhika, D Anbuselvi, ...
    Harnessing Artificial Emotional Intelligence for Improved Human-Computer … , 2024
    2024
    Citations: 5

MOST CITED SCHOLAR PUBLICATIONS

  • The Pre-Processing Techniques for Breast Cancer Detection in Mammography Images
    S. Valarmathy,N. Suthanthira Vanitha,R. Ramani
    I.J. Image, Graphics and Signal Processing 5, 47-54 , 2013
    2013
    Citations: 189
  • Vehicle Tracking and Looking System Based on GSM and GPS
    T Ramani, S Valarmathy, N SuthanthiraVanitha
    International Jourrnal of Intelligent Systems and Applications(IJISA) 5 (9), 86 , 2013
    2013
    Citations: 186
  • GSM based Automated Irrigation Control using Raingun Irrigation System
    D Suresh,Suthanthira Vanitha,Gopinath, Govindaraju
    International Journal of Advanced Research in Computer and Communication … , 2014
    2014
    Citations: 124
  • Artificial intelligence techniques in water purification and utilization
    S Vanitha, K Radhika, S Boopathi
    Human Agro-Energy Optimization for Business and Industry, 202-218 , 2023
    2023
    Citations: 111
  • Model and design of a fuzzy-based Hopfield NN tracking controller for standalone PV applications
    N. Suthanthiravanitha,R. Arulmurugan
    Electric Power Systems Research , 2014
    2014
    Citations: 87
  • Power quality monitoring of a photovoltaic system through IoT
    T Meenakshi, R Ramani, A Karthikeyan, NS Vanitha, S Murugan
    2023 International Conference on Sustainable Communication Networks and … , 2023
    2023
    Citations: 60
  • Electric Vehicle Battery Charging in Grid System using Fuzzy based Bidirectional Converter
    A Karthikeyan, NS Vanitha, T Meenakshi, R Ramani, S Murugan
    2023 3rd International Conference on Innovative Mechanisms for Industry … , 2023
    2023
    Citations: 56
  • Optimal Design of DC to DC Boost Converter with Closed Loop Control PID Mechanism for High Voltage Photovoltaic Application
    N.Suthanthira vanitha,R.Arulmurugan
    International Journal of Power Electronics and Drive System (IJPEDS) 3, 336~343 , 2013
    2013
    Citations: 53
  • Automatic Rationing System Using Embedded System Technology
    N Suthanthira Vanitha,Sukhumar, Gopinathan, Kalpanadevi
    International Journal of Innovative Research in Electrical, Electronics … , 2013
    2013
    Citations: 40
  • Intelligent fuzzy MPPT controller using analysis of DC to DC novel buck converter for photovoltaic energy system applications
    R Arulmurugan, NS Vanitha
    2013 International Conference on Pattern Recognition, Informatics and Mobile … , 2013
    2013
    Citations: 40
  • Automatic Intravenous Fluid Level Indication System for Hospitals
    R.Priyadharshini, S.Mithuna, U.Vasanth Kumar, S.Kalpanadevi ,N.Suthanthira ...
    International Journal for Research in Applied Science & Engineering … , 2015
    2015
    Citations: 31
  • Identification of Open-Switch and Short-Switch Failure of Multilevel Inverters through DWT and ANN Approach using LabVIEW
    E.Parimalarsundar, N.Suthanthiravanitha
    Journal of Electrical Engineering Technology 10, 1921-718 , 2015
    2015
    Citations: 31
  • Breast Cancer Detection in Mammograms based on Clustering Techniques- A Survey
    N.Suthanthira vanitha, T.Ramani
    International Journal of Computer Applications 57 (8 Impact Factor: 0.8) , 2013
    2013
    Citations: 28
  • Improved Fractional Order VSS Inc-Cond MPPT algorithm for Photovoltaic Scheme
    N.Suthanthira vanitha,R.Arulmurugan
    International Journal of Photoenergy, Article ID 128327, 10 , 2014
    2014
    Citations: 25
  • Rescue child from Bore well using embedded system
    S Gopinath, T Devika, L Manivannan, NS Vanitha
    International Research Journal of Engineering and Technology (IRJET) 2 (03 … , 2015
    2015
    Citations: 21
  • Computer A ided Detection of Tumours in Mammograms
    N.Suthanthira vanitha, T.Ramani
    International Journal of Image, Graphics and Signal Processing (IJIGSP) 6 (4 … , 2014
    2014
    Citations: 21
  • Maximum power tracking for PV generating system using novel optimized fractional order open circuit voltage-FOINC method
    N.Suthanthira vanitha,R.Arulmurugan
    Computer Communication and Informatics (ICCCI), 2014 International … , 2014
    2014
    Citations: 19
  • Investigation of N–S-based graphene quantum dot on sodium alginate with ammonium thiocyanate (NH 4 SCN) biopolymer electrolyte for the application of …
    N Vanitha, C Shanmugapriya, S Selvasekarapandian, MV Krishna, ...
    Journal of Materials Science: Materials in Electronics 33 (18), 14847-14867 , 2022
    2022
    Citations: 18
  • Wide-area measurement systems and phasor measurement units
    M Maheswari, N Suthanthira Vanitha, N Loganathan
    Wide Area power systems stability, protection, and security, 105-126 , 2020
    2020
    Citations: 17
  • Effect of graphene quantum dot on sodium alginate with ammonium formate (NH 4 HCO 2 ) biopolymer electrolytes for the application of electrochemical devices
    N Vanitha, C Shanmugapriya, S Selvasekarapandian, RM Naachiyar, ...
    Ionics 28 (6), 2731-2749 , 2022
    2022
    Citations: 16