Dr.K.KAVITHAMANI

@hicet.ac.in

ASSOCIATE PROFESSOR , DEPARTMENT OF MATHEMATICS
Hindusthan colleage of Engineering and Technology

Dr.K.KAVITHAMANI


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https://researchid.co/kavielakkiya

EDUCATION

I am working as a Associate Professor in Hindusthan College of Engineering and Technology, Coimbatore, Tamilnadu.
I have completed my B.Sc Mathematics & M.Sc., mathematics in Government Arts College, Coimbatore.
I did my M.Phil Mathematics in P.S.G. college of Arts and Science, Coimbatore,
Also Ph.D Mathematics in Karpagam University, Coimbatore.

RESEARCH INTERESTS

TOPOLOGY
7

Scopus Publications

47

Scholar Citations

4

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Machine Learning for Pulse Oximetry Refinement: Addressing Racial and Ethnic Disparities
    P. Vasanthi, K. Kavithamani, K. Mythili Gnanapriya, S. Gowri, L. Shruthika, N. Jeeva Prakash
    2025 International Conference on Metaverse and Current Trends in Computing Icmctc 2025, 2025
    The limits of pulse oximetry in precisely detecting oxygen saturation (SpO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf>), especially in varied racial and ethnic populations, are addressed in this study. Our objective was to improve the accuracy of oxygen saturation predictions and identify concealed hypoxemia by using machine learning models, such as Linear Regression, LightGBM, and Random Forest, using a sizable dataset from Beth Israel Deaconess Medical Center. For model compatibility, 50,920 patients' data was preprocessed, normalized, and essential clinical and demographic characteristics were changed. With high R-squared values and low mean absolute errors, LightGBM and Random Forest demonstrated their superiority over Linear Regression in model evaluations, highlighting their capacity to represent non-linear connections in physiological data. Age, heart rate, blood pressure, and respiration rate were found to be significant predictors using interpretability methodologies like SHAP and LIME. Our findings imply that machine learning can increase the accuracy of SpO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> measurements and the detection of concealed hypoxemia, which may have consequences for fair patient monitoring and improved therapeutic outcomes.
  • Evaluating Welding Electrode Angle and Root Gap Effects on Joint Quality
    Shivani Pant, Laith Jasim, M.J. Murali, K. Kavithamani, Anita Gehlot
    E3s Web of Conferences, 2024
    Welding is a type of manufacturing method that offers greater advantages than riveting for combining metals or sheets. By adjusting the welding process parameters to predict welding strength, a higher quality of joint can be achieved. In this study, the weld processing parameters welding current (WC), electrode angle (EA), and root gap (RG) were taken into account. We performed destructive testing, such as tensile and hardness tests, to evaluate the metal piece's weld strength after it had been joined. Stainless steels and carbon steels, two unrelated materials, were used in this project. The Taguchi method was used to carry out joint processes in arc welding (AW), and nine samples were produced by altering the input parameters. Steel alloy 308L has been used as the electrode for forming connections.
  • Oral Cancer Classification Using GLRLM Combined with Fuzzy Cognitive Map and Support Vector Machines from Dental Radiograph Images
    K. Anuradha, H. Fathima, K. Kavithamani, K. P. Uma
    Communications in Computer and Information Science, 2024
  • Real-Time Fraud Detection in Financial Transactions Using Autoencoders
    Mritunjay Singh, Naveen Bansal, Ganga S, K.Kavithamani, Muntather Almusawi, Chintamani Prasad Patnaik
    3rd International Conference on Advances in Computing Communication and Materials Icaccm 2024, 2024
    The research detailed in this paper describes a fraud detection system where autoencoders are employed in order to detect anomaly in financial transactions in real time manner. The results of experiment analysis in the system are, in the stage of detecting the query object, the detection accuracy of the system reaches 98%. 5%, precision of 92. 3%, recall of 90. accuracy of 95. 1%, a precision of 92. 8%, a recall of 100%, and an F1-score of 91. It must have had a definite impact, as attributable solely to the study, since its efficacy was proven in a real word with the improvement of patients’ health by 2%. Through analysing successive transactional data and learning the new modes of fraudulent activities, the system optimizes the number of both false positives and negatives for effective antifraud measures. The proposed approach can identify fraud in real time, which is critically important to maintaining financial fraud prevention efficiency.
  • Simulation of Hemoglobin and Oxyhemoglobin Dynamics Using a Robust Computational Technique
    R. Kasthuri
    Communications on Applied Nonlinear Analysis, 2024
    In this study a robust computational technique is used for a better understand of the dynamics of hemoglobin and oxyhemoglobin in human blood.[1] Results obtained using this technique helps to calculate SpO2 levels. The major goal of this research is to create a mathematical model that can explain how the concentrations of hemoglobin and oxyhemoglobin change over time. A graphical representation has been arrived with the solution of the proposed model using R-K method and MATLAB tool.
  • A fuzzy purchase model with backorders - GMI method of defuzzification
    R Kasthuri, P Vasanthi, S Ranganayaki, K Kavithamani
    Journal of Physics Conference Series, 2022
    A fuzzy EOQ model with backorders is considered in which the costs like setup, holding and the penalty price are assumed as triangular FN (fuzzy numbers). Graded mean integration approach which is more simple and accurate is employed to defuzzify the cost functions. The model is illustrated with numerical examples to compute the optimal values.
  • Estimation of time to recruitment for a three graded system
    International Journal of Engineering and Technology Uae, 2018

RECENT SCHOLAR PUBLICATIONS

  • Machine Learning for Pulse Oximetry Refinement: Addressing Racial and Ethnic Disparities
    P Vasanthi, K Kavithamani, KM Gnanapriya, S Gowri, L Shruthika, ...
    2025 International Conference on Metaverse and Current Trends in Computing … , 2025
    2025
  • Oral Cancer Classification Using GLRLM Combined with Fuzzy Cognitive Map and Support Vector Machines from Dental Radiograph Images
    DKKDKPUDKAH Fathima "
    Springer - conference 2122 (2), PP71-81 , 2024
    2024
  • Simulation of Hemoglobin and Oxyhemoglobin Dynamics Using a Robust Computational Technique
    KKRKKMGCGSGRSSRPVNJPL Shruthika"
    "Communications on Aplied Nonlinear Analysis 1074-133X" 31 (1), P-194-199 , 2024
    2024
  • Revolutionizing agriculture: The impact of AI and IoT
    M Ayad Alkhafaji, GM Ramadan, Z Jaffer, L Jasim
    E3S web of conferences 491, 01010 , 2024
    2024
    Citations: 27
  • Evaluating Welding Electrode Angle and Root Gap Effects on Joint Quality
    S Pant, L Jasim, MJ Murali, K Kavithamani, A Gehlot
    E3S Web of Conferences 491, 04003 , 2024
    2024
  • Machine Learning Techniques Applied to Improve High-Speed Spectrum Management in Fiber Optic Communications
    D Sudha, K Sharma, A Singla, MJ Murali, D Dhabliya, N Das
    2023 IEEE International Conference on Paradigm Shift in Information … , 2023
    2023
  • Optimization Techniques Applied to Agricultural Field: Enhancing Zero Suffix Method for Effective Solid Assignment Problem Solving
    MAS Kala, M Sangeetha, MD Saranya, MK Sharmilaa, K Kavithamani
    Tuijin Jishu/Journal of Propulsion Technology 44 (4), 370-378 , 2023
    2023
  • Oral Cancer Classification Using GLRLM Combined with Fuzzy Cognitive Map and Support Vector Machines from Dental Radiograph Images
    K Anuradha, H Fathima, K Kavithamani, KP Uma
    International Conference on Intelligent Computing for Sustainable … , 2023
    2023
    Citations: 1
  • Implementation of solar pv battery and diesel generator based electric charging station
    MVMPMSBVASCJKMKSR "Dr. KAVITHA MANI K
    US Patent 202341037960 A , 2023
    2023
  • Environmental condition monitoring in green house by using IOT
    DSKDKKMKPGDGKRRKS PONNEESWARAN R"
    US Patent 202341037957 A , 2023
    2023
  • Quality Improvement of Image Processing using Fuzzy Logic
    DVNI Dr.K.Kavithamani
    US Patent 202341041760 A , 2023
    2023
  • Dendritic cell activation in leprosy using CD1a and factor XIIIa markers
    K Kavithamani, S Sowmya, K Shanmugasamy
    Cureus 15 (4) , 2023
    2023
    Citations: 1
  • Strong implicative filters of residuated lattice Wajsberg algebras.
    V Nirmala, K Kavithamani, R Kasthuri, M Gnanapriya, SR Kethsial
    2022
  • "Statistical Analysis Of Numerical Attributes Of Brain Tumors And Predict The Life Expectancy Through Confusion Matrix Instances"
    DSG Dr K.Kavithamani
    US Patent 202,241,054,152 A , 2022
    2022
  • Fuzzy inventory model without shortages using GMI approach
    P Vasanthi, S Ranganayaki, R Kasthuri
    Journal of Physics: Conference Series 2332 (1), 012002 , 2022
    2022
    Citations: 4
  • A fuzzy purchase model with backorders-GMI method of defuzzification
    R Kasthuri, P Vasanthi, S Ranganayaki, K Kavithamani
    Journal of Physics: Conference Series 2332 (1), 012003 , 2022
    2022
    Citations: 1
  • Fuzzy and Instuituionistic fuzzy strong implicative filters of residuated lattices wajsberg algebras
    RS "Dr.K.Kavithamani,Dr.V.Nirmala,Dr.S.Revathy ,Dr.R.Poornima Dr.K.Jeya ...
    US Patent 202241045793 A , 2022
    2022
  • Purchasing Model with Fuzzy Cost Parameters
    P Vasanthi, S Ranganayaki, R Kasthuri, K Kavithamani, V Nirmala, ...
    Telematique, 2130-2135 , 2022
    2022
  • GMI Method-Fuzzy EOQ model without shortages.
    S Ranganayaki, P Vasanthi, KM Gnanapriya, K Kavithamani, R Kasthuri
    Journal of Algebraic Statistics 13 (3) , 2022
    2022
  • Purchasing Model with Fuzzy Cost Parameters
    KKPVSRRKVNS Girija
    Telematique 21 (1), 2130-2135 , 2022
    2022

MOST CITED SCHOLAR PUBLICATIONS

  • Revolutionizing agriculture: The impact of AI and IoT
    M Ayad Alkhafaji, GM Ramadan, Z Jaffer, L Jasim
    E3S web of conferences 491, 01010 , 2024
    2024
    Citations: 27
  • Inventory model with demand dependent on price under Fuzzy parameter & decision variables
    S Ranganayaki, R Kasthuri, P Vasarthi
    Int. J. Recent Technol. Eng 8 (3), 784-788 , 2019
    2019
    Citations: 6
  • Fuzzy inventory model without shortages using GMI approach
    P Vasanthi, S Ranganayaki, R Kasthuri
    Journal of Physics: Conference Series 2332 (1), 012002 , 2022
    2022
    Citations: 4
  • Multi-item EOQ model with demand dependent on unit price
    R Kasthuri, CV Seshaiah
    Applied and Computational Mathematics 2 (6), 149-151 , 2013
    2013
    Citations: 4
  • Oral Cancer Classification Using GLRLM Combined with Fuzzy Cognitive Map and Support Vector Machines from Dental Radiograph Images
    K Anuradha, H Fathima, K Kavithamani, KP Uma
    International Conference on Intelligent Computing for Sustainable … , 2023
    2023
    Citations: 1
  • Dendritic cell activation in leprosy using CD1a and factor XIIIa markers
    K Kavithamani, S Sowmya, K Shanmugasamy
    Cureus 15 (4) , 2023
    2023
    Citations: 1
  • A fuzzy purchase model with backorders-GMI method of defuzzification
    R Kasthuri, P Vasanthi, S Ranganayaki, K Kavithamani
    Journal of Physics: Conference Series 2332 (1), 012003 , 2022
    2022
    Citations: 1
  • Triangular fuzzy numbers model with cost parameters
    P Vasanthi, S Ranganayaki, R Kasthuri
    Journal of Physics: Conference Series 1916 (1), 012124 , 2021
    2021
    Citations: 1
  • Multi Objective Fuzzy Inventory Model with Demand Dependent Unit Cost and Lead Time Constraints–A Karush Kuhn Tucker Conditions Approach
    S Ranganayaki, CV Seshaiah
    International Journal of Math. Analysis 8 (4,187-193) , 2014
    2014
    Citations: 1
  • Strongly C*G- Continuous Maps In Topological Space
    A Pushpalatha, K Kavithamani
    IJERT 1 (10), 1-12 , 2012
    2012
    Citations: 1
  • Machine Learning for Pulse Oximetry Refinement: Addressing Racial and Ethnic Disparities
    P Vasanthi, K Kavithamani, KM Gnanapriya, S Gowri, L Shruthika, ...
    2025 International Conference on Metaverse and Current Trends in Computing … , 2025
    2025
  • Oral Cancer Classification Using GLRLM Combined with Fuzzy Cognitive Map and Support Vector Machines from Dental Radiograph Images
    DKKDKPUDKAH Fathima "
    Springer - conference 2122 (2), PP71-81 , 2024
    2024
  • Simulation of Hemoglobin and Oxyhemoglobin Dynamics Using a Robust Computational Technique
    KKRKKMGCGSGRSSRPVNJPL Shruthika"
    "Communications on Aplied Nonlinear Analysis 1074-133X" 31 (1), P-194-199 , 2024
    2024
  • Evaluating Welding Electrode Angle and Root Gap Effects on Joint Quality
    S Pant, L Jasim, MJ Murali, K Kavithamani, A Gehlot
    E3S Web of Conferences 491, 04003 , 2024
    2024
  • Machine Learning Techniques Applied to Improve High-Speed Spectrum Management in Fiber Optic Communications
    D Sudha, K Sharma, A Singla, MJ Murali, D Dhabliya, N Das
    2023 IEEE International Conference on Paradigm Shift in Information … , 2023
    2023
  • Optimization Techniques Applied to Agricultural Field: Enhancing Zero Suffix Method for Effective Solid Assignment Problem Solving
    MAS Kala, M Sangeetha, MD Saranya, MK Sharmilaa, K Kavithamani
    Tuijin Jishu/Journal of Propulsion Technology 44 (4), 370-378 , 2023
    2023
  • Implementation of solar pv battery and diesel generator based electric charging station
    MVMPMSBVASCJKMKSR "Dr. KAVITHA MANI K
    US Patent 202341037960 A , 2023
    2023
  • Environmental condition monitoring in green house by using IOT
    DSKDKKMKPGDGKRRKS PONNEESWARAN R"
    US Patent 202341037957 A , 2023
    2023
  • Quality Improvement of Image Processing using Fuzzy Logic
    DVNI Dr.K.Kavithamani
    US Patent 202341041760 A , 2023
    2023
  • Strong implicative filters of residuated lattice Wajsberg algebras.
    V Nirmala, K Kavithamani, R Kasthuri, M Gnanapriya, SR Kethsial
    2022

Publications

c*g-closed, c(s)g-closed sets in Topological spaces
A Study On c*g-Homeomorphisms In Topological Spaces
Strongly c*g- Continuous Maps In Topological Space
A Study On c*g-Closed Sets In Bitopological Spaces
c*g-continuous function in bitopological spaces
"Estimation of time to recruitment for a three
graded system"
Application of fuzzy cognitive map in voluntary retirement analysis
Ananlysis of time to recruitment of a manpower model for an organization with two sources of depletion and two components for threshold for the depletion of manpower
A mathematical analysis to estimate Time to recruitment for an organization
Interval valued hesitant fuzzy subnearring bonferroni mean and interval valued hesitant fuzzy subnearring weighted bonferroni mean
A Study on Meantime Assessment Intuitionistic Reluctant Fuzzy Auxiliary Nearring and Meantime Assessment Intuitionistic Triangular Reluctant Fuzzy Auxiliary Nearring
"A study on Meantime Assessment Intuitionistic
Reluctant Fuzzy Auxiliary Nearring"
A Trending Study On The Neutrosophication of Z-Transform
"Strong Implicative Filters of Residuated Lattice Wajsberg
Algebras"
GMI Method-Fuzzy EOQ model without shortages
Purchasing Model with Fuzzy Cost Parameters
A fuzzy purchase model with backorders - GMI method of defuzzification