D Manjula

@karpagam.ac.in

Assistant Professor cum Medical Statistician, Department of Community Medicine
Karpagam Faculty of Medical Sciences and Research

D Manjula


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https://researchid.co/manjulad

EDUCATION

PhD Statistics

RESEARCH, TEACHING, or OTHER INTERESTS

Applied Mathematics
6

Scopus Publications

36

Scholar Citations

3

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • Optimistic machine learning algorithm to identify producer and consumer risks in the medical field using double sampling plan
    B. Swapna, D. Manjula, G. Uma, G. Kavitha, D. SenthilKumar, M. Sujitha, K. Jeevitha, A. Lavanya
    Convergence of Internet of Medical Things Iomt and Generative AI, 2025
    The specific form of statistical quality control, applied to the medical field to ensure product excellence and patient safety. Specifically, the proposed method employs a Machine Learning Algorithm (MLA) to assist in decision-making about accepting or rejecting inspected medical samples. The algorithm is trained using data from double sampling plan tables, enabling it to generate closed-form solutions for sample size while accounting for producer and consumer risks. This automation ensures precision in interpreting double sampling plan tables without compromising quality. provides flexibility for medical quality controllers, allowing for the consideration of specific requirements while minimizing time and cost during inspections. It addresses producer and consumer risks at predefined levels, while also incorporating other key quality parameters. With this system, medical professionals can estimate sample size at fixed producer and consumer risk levels, or predict these risks at a given sample size, ensuring comprehensive risk management and quality assurance in medical products.
  • Performance Evaluation of Blob Detection Techniques Using Image Processing
    Sathya S, Madhumathi R, Manjula D, MeenaKowshalya A
    4th International Conference on Sustainable Expert Systems Icses 2024 Proceedings, 2024
    Blob detection is a primary requirement in computer vision and image processing tasks. Unique visual traits are obtained by identifying blobs in an image. Variations in colour, texture, intensity, or shape are just examples of these attributes, which make blob detection a flexible tool for a variety of image analysis applications. The technique of separating the objects in the binary image is called Binary Large Object (blob) extraction. Every representation technique provides distinct insights into the properties of the blob, which facilitates further processing and interpretation. Techniques for classifying blobs according to their size, shape, texture, and colour are presented, highlighting their importance involving object recognition and classification. The categorization of blob detection techniques presented in this work includes, encompassing Laplacian of Gaussian (LoG), Difference of Gaussian (DoG), Difference of Hessian (DOH), and Connected Components (Labelling). The results demonstrate that LoG and DoG detect a higher number of blobs, with LoG detecting the most (1,366 blobs), while DoH focuses on larger blobs but with a smaller count (777 blobs). Moreover, DoH had the largest mean blob size and higher variability in blob size, while DoG exhibited the fastest detection time (4.27 seconds).
  • Scalable Deep Learning for Categorization of Satellite Images
    B Swapna, Radhika Venkatessan, Fathima Taskeen, K IndraPriya, D Manjula, D Surendiran Muthukumar
    7th International Conference on I Smac Iot in Social Mobile Analytics and Cloud I Smac 2023 Proceedings, 2023
    Satellite imagery serves a crucial role in diverse applications like disaster response, law enforcement, and environmental monitoring. These tasks often require manual identification of objects and structures within the images. However, due to the extensive geographic regions involved and a limited number of analysts available, there’s a growing need for automation. Traditional methods of object detection and classification are proving insufficient and unreliable for addressing this challenge. This is where deep learning comes into play—a collection of machine learning techniques that holds the potential to automate these tasks effectively. In particular, convolutional neural networks (CNNs), a subset of deep learning, have shown remarkable promise in understanding images. This study focuses on applying CNNs to the complex task of recognizing various objects and facilities in high-resolution, multi-spectral satellite images. The research introduces a deep learning system that takes advantage of both satellite metadata and image features to accurately classify the dataset into different categories. The implementation of this system is carried out using Python, leveraging the Keras and TensorFlow libraries. Comparative analysis against existing systems reveals a significant enhancement in overall accuracy offered by this approach.
  • Novel and Optimized Efficient Transmission Using Dynamic Routing Technique for Underwater Acoustic Sensor Networks
    Swapna Babu, Bhuvaneswari Subramanian, Sujitha Madhavadhas, Kavitha Ganesan, Manjula Dhandapani, Surendiran Muthukumar Deva
    Engineering Proceedings, 2023
    Underwater acoustic sensor networks involve deploying sensors underwater in order to establish a wireless network framework aimed at discovering new resources, detecting targets, and monitoring pollution.
  • Knowledge gap exists among caregivers of adults compared to caregivers of children with epilepsy: A comparative analysis from a low resource setting
    Rajesh Shankar Iyer, Anita Ann Sunny, Nisha Jaranraj, Uma Govindaraj, Manjula Dhandapani
    Epilepsy and Behavior Reports, 2022
    Caregivers of adults (CG-A) and caregivers of children (CG-C) may differ in their knowledge, attitude and behavior and hence their education requirements during epilepsy counseling could vary. This study compares the current knowledge, attitudes, behavior during a seizure, presence of myths surrounding epilepsy and ability to recognize seizures among a sample of CG-A and CG-C. Caregivers of children and adult patients with minimum 6 months history of epilepsy were enrolled. Information was collected using a questionnaire about clinical and demographic details and five domains (KAP-plus); knowledge, attitude, behavior, presence of myths and a video data for identification of focal impaired awareness seizures (FIAS) and generalized tonic-clonic seizures (GTCS). There were 132 CG-A and 127 CG-C. CG-C were younger and better educated compared to CG-A (formal education of 64.6% vs 44.7% p = 0.001). CG-A and CG-C were comparable in the knowledge and attitude domains. CG-A scored less than CG-C in the domains of behavior (15.5 vs 16.8 p = <0.001), myths (15.4 vs 16.2 p = 0.002), video recognition of FIAS and GTCS (0.7 vs 0.94 p = 0.001) and KAP-plus score (22.9 vs 24.6 p = 0.017). The knowledge-behavior or knowing-doing gap, knowledge-faith gap and knowledge-recognition gaps existed more among CG-A compared to CG-C. Focused education strategies are required to bridge the gap among CG-A.
  • Renewable Energy Powered Autonomous Smart Ocean Surface Vehicles (REASOSE)
    , M. Kamalahasan, T. Raghu, , B. Swapna, , K. Saravanan, , D. Manjula, and
    International Journal of Integrated Engineering, 2022
    The REASOSEis not just an Ocean surface vehicle, its poly-type smart autonomous propulsion which eliminates the limitations of existing surface vehicles (remotely operated). The renewable energy source always proved to be abundance of availability in the environment, since the power created through renewable source with loss is engineering acceptance which can immobilise the vehicle. But REASOSEis a unique vehicle with poly-type propulsion incorporated with different renewable sources from the environment which furnishes the consistency of the vehicle inevitable. The REASOSEis a smart intelligent system of vehicle that autonomously switch over to the efficient propulsion as per the availability and in kind of any hindrances the vehicle acts smartly and reaches its destination contiguously. The proposed project novelty is not only stick to a line, the proposed vehicle serves to be change over for versatile applications, the vehicle will be incorporated with high definition live transmitted camera serves for coastal surveillance, deep sea monitoring and so on. The integrated CTD, ADCP and other oceanographic sensors can be a changeover in data collection at different area at required region and time. The stack-up space provides the transportation during unconditional or conditional mode of cargo transfer to required destination.

RECENT SCHOLAR PUBLICATIONS

  • A Mathematical Model for Enhancing Safety in Face Creams for Tamil Nadu Women
    D Manjula, A Rathi, T Pradeep, N Indumathi, B Swapna, G Kavitha, ...
    Cuestiones de Fisioterapia 54 (3), 3513-3526 , 2025
    2025
  • Integrating Artificial Intelligence in Healthcare for Improved Decision-Making, Patient Outcomes, and Operational Efficiency
    D Manjula, G Uma, T Pradeep, R Nandhinidevi
    INTERNATIONAL JOURNAL 14 (2), 346-350 , 2025
    2025
  • THE CONSEQUENCES OF SELF-MEDICATION SUGGESTED BY PHARMACISTS VERSUS DOCTORS'PRESCRIPTIONS
    J Nalinidevi, T Pradeep, D Manjula, G Kavitha, B Swapna, M Sujitha
    Int J Acad Med Pharm 7 (1), 777-782 , 2025
    2025
  • Optimistic Machine Learning Algorithm to Identify Producer and Consumer Risks in the Medical Field Using Double Sampling Plan
    B Swapna, D Manjula, G Uma, G Kavitha, D SenthilKumar, M Sujitha, ...
    Convergence of Internet of Medical Things (IoMT) and Generative AI, 477-494 , 2025
    2025
  • Novel and Optimized Efficient Transmission Using Dynamic Routing Technique for Underwater Acoustic Sensor Networks †
    B Swapna, D Manjula
    MDPI Engineering Proceeding , 2023
    2023
  • Scalable Deep Learning for Categorization of Satellite Images
    B Swapna, D Manjula
    Proceedings of the 7th International Conference on I-SMAC, 773-778 , 2023
    2023
    Citations: 10
  • Renewable energy powered autonomous smart ocean surface vehicles (reasose)
    M Kamalahasan, T Raghu, B Swapna, K Saravanan, D Manjula
    International Journal of Integrated Engineering 14 (7), 1-15 , 2022
    2022
    Citations: 10
  • Determination of Reduced -Tightened Quick Switching System Using Poisson distribution
    RN G Uma, D Manjula
    Telematique 21 (1), 2119-2124 , 2022
    2022
  • Realism in Dickens’ Novels
    Anuradha, Swapna, Manjula
    International Journal of Special Education 37 (3), 15193-15201 , 2022
    2022
    Citations: 1
  • Knowledge gap exists among caregivers of adults compared to caregivers of children with epilepsy: A comparative analysis from a low resource setting
    Uma, R Iyer, M Dhandapani
    Epilepsy & Behavior Reports 18, 100528-100536 , 2022
    2022
    Citations: 11
  • Implementation of New Screening Procedure on Double Sampling Plan in COVID-19
    M Uma
    BULLETIN MONUMENTAL 21 (12), 180-192 , 2020
    2020
  • Derivation of Zero - One Truncated Poisson distribution
    GURN D Manjula
    International Journal of Applied Research 6 (5), 253-255 , 2020
    2020
    Citations: 2
  • Derivation of Operating Characteristic Curve on a New Screening Procedure on Double Sampling Plan (n1=n2)
    GURN D Manjula
    International Journal of Advance Science and Technology 29 (10s), 6614-6620 , 2020
    2020
  • Construction of Fuzzy logic under New Screening Procedure on Double Sampling Plan
    G Uma, D Manjula, R Nandhinidevi
    The International Journal of Analytical and Experimental Modal Analysis 12 … , 2020
    2020
    Citations: 1
  • AN IMPACT OF FUZZY LOGIC ON QUICK SWITCHING SINGLE DOUBLE SAMPLING PLAN – ACCEPTANCE NUMBER TIGHTENING
    GUDM R Nandhinidevi
    The International journal of analytical and experimental modal analysis 12 … , 2020
    2020
  • A Study On Employment Opportunities And Welfare Schemes On Agriculture Based Young People
    D Manjula, M Gowsalyarani
    INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND STUDIES 2 (2), 24-30 , 2019
    2019
  • A Comparative Study of Normal, Conditional, Special Type and New Screening Procedure on Double Sampling Plan
    D Manjula
    International Journal of Scientific Research and Reviews 8 (1), 1833-1840 , 2019
    2019
  • A Technical Study on Varieties of Sampling Plan and Implementation of New Screening Tri-Sampling Plan
    G Uma, D Manjula
    International Journal of Research in Advent Technology 51 (Paper ID 51), 266-271 , 2019
    2019
    Citations: 1
  • New Screening Procedure on Double Sampling Plan for Costly or Destructive Items
    G Uma, D Manjula
    International Journal of Research in Advent Technology 6 (12), 3640-3646 , 2018
    2018
  • The construction and selection of tightening sample size of quick switching variables sampling systems involving minimum sum of the risks
    D Senthilkumar, D Manjula, BE Raffie
    International Journal of Applied Research 2 (4), 104-111 , 2016
    2016

MOST CITED SCHOLAR PUBLICATIONS

  • Knowledge gap exists among caregivers of adults compared to caregivers of children with epilepsy: A comparative analysis from a low resource setting
    Uma, R Iyer, M Dhandapani
    Epilepsy & Behavior Reports 18, 100528-100536 , 2022
    2022
    Citations: 11
  • Scalable Deep Learning for Categorization of Satellite Images
    B Swapna, D Manjula
    Proceedings of the 7th International Conference on I-SMAC, 773-778 , 2023
    2023
    Citations: 10
  • Renewable energy powered autonomous smart ocean surface vehicles (reasose)
    M Kamalahasan, T Raghu, B Swapna, K Saravanan, D Manjula
    International Journal of Integrated Engineering 14 (7), 1-15 , 2022
    2022
    Citations: 10
  • Derivation of Zero - One Truncated Poisson distribution
    GURN D Manjula
    International Journal of Applied Research 6 (5), 253-255 , 2020
    2020
    Citations: 2
  • Realism in Dickens’ Novels
    Anuradha, Swapna, Manjula
    International Journal of Special Education 37 (3), 15193-15201 , 2022
    2022
    Citations: 1
  • Construction of Fuzzy logic under New Screening Procedure on Double Sampling Plan
    G Uma, D Manjula, R Nandhinidevi
    The International Journal of Analytical and Experimental Modal Analysis 12 … , 2020
    2020
    Citations: 1
  • A Technical Study on Varieties of Sampling Plan and Implementation of New Screening Tri-Sampling Plan
    G Uma, D Manjula
    International Journal of Research in Advent Technology 51 (Paper ID 51), 266-271 , 2019
    2019
    Citations: 1
  • A Mathematical Model for Enhancing Safety in Face Creams for Tamil Nadu Women
    D Manjula, A Rathi, T Pradeep, N Indumathi, B Swapna, G Kavitha, ...
    Cuestiones de Fisioterapia 54 (3), 3513-3526 , 2025
    2025
  • Integrating Artificial Intelligence in Healthcare for Improved Decision-Making, Patient Outcomes, and Operational Efficiency
    D Manjula, G Uma, T Pradeep, R Nandhinidevi
    INTERNATIONAL JOURNAL 14 (2), 346-350 , 2025
    2025
  • THE CONSEQUENCES OF SELF-MEDICATION SUGGESTED BY PHARMACISTS VERSUS DOCTORS'PRESCRIPTIONS
    J Nalinidevi, T Pradeep, D Manjula, G Kavitha, B Swapna, M Sujitha
    Int J Acad Med Pharm 7 (1), 777-782 , 2025
    2025
  • Optimistic Machine Learning Algorithm to Identify Producer and Consumer Risks in the Medical Field Using Double Sampling Plan
    B Swapna, D Manjula, G Uma, G Kavitha, D SenthilKumar, M Sujitha, ...
    Convergence of Internet of Medical Things (IoMT) and Generative AI, 477-494 , 2025
    2025
  • Novel and Optimized Efficient Transmission Using Dynamic Routing Technique for Underwater Acoustic Sensor Networks †
    B Swapna, D Manjula
    MDPI Engineering Proceeding , 2023
    2023
  • Determination of Reduced -Tightened Quick Switching System Using Poisson distribution
    RN G Uma, D Manjula
    Telematique 21 (1), 2119-2124 , 2022
    2022
  • Implementation of New Screening Procedure on Double Sampling Plan in COVID-19
    M Uma
    BULLETIN MONUMENTAL 21 (12), 180-192 , 2020
    2020
  • Derivation of Operating Characteristic Curve on a New Screening Procedure on Double Sampling Plan (n1=n2)
    GURN D Manjula
    International Journal of Advance Science and Technology 29 (10s), 6614-6620 , 2020
    2020
  • AN IMPACT OF FUZZY LOGIC ON QUICK SWITCHING SINGLE DOUBLE SAMPLING PLAN – ACCEPTANCE NUMBER TIGHTENING
    GUDM R Nandhinidevi
    The International journal of analytical and experimental modal analysis 12 … , 2020
    2020
  • A Study On Employment Opportunities And Welfare Schemes On Agriculture Based Young People
    D Manjula, M Gowsalyarani
    INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND STUDIES 2 (2), 24-30 , 2019
    2019
  • A Comparative Study of Normal, Conditional, Special Type and New Screening Procedure on Double Sampling Plan
    D Manjula
    International Journal of Scientific Research and Reviews 8 (1), 1833-1840 , 2019
    2019
  • New Screening Procedure on Double Sampling Plan for Costly or Destructive Items
    G Uma, D Manjula
    International Journal of Research in Advent Technology 6 (12), 3640-3646 , 2018
    2018
  • The construction and selection of tightening sample size of quick switching variables sampling systems involving minimum sum of the risks
    D Senthilkumar, D Manjula, BE Raffie
    International Journal of Applied Research 2 (4), 104-111 , 2016
    2016