Search Results - "Judeson Antony Kovilpillai, J"

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  1. 1

    Medical Gas Pressure Level Monitoring System using Machine Learning Algorithms by Yugapriya, M, Judeson Antony Kovilpillai, J, Jayanthy, S

    “…This research study proposes a medical gas pressure monitoring system that is developed to monitor the gas pressure level of each gas channel by measuring…”
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    Conference Proceeding
  2. 2

    A Transfer Learning Approach for Effective Motor Fault Identification of Industrial Machines used in Tile Manufacturing by Kovilpillai, J. Judeson Antony, Jayanthy, S.

    Published in National Academy science letters (2022)
    “…As the development and usage of autonomous machines and industrial IoT in manufacturing/production companies is becoming more active, machine fault…”
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    Journal Article
  3. 3

    Analysis of Badminton Track Using Computer Vision Techniques by Yadav, Puneet Kumar, Tiwari, Shweta, Judeson Antony Kovilpillai, J, Chinnaiyan, R.

    “…For both young and old, badminton is a sport. A badminton robot must be created for the real-time dynamic tracking of badminton travelling at high speed in…”
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    Conference Proceeding
  4. 4

    Structural Health Monitoring Using Machine Learning Techniques by P, Monisha, ArunRaja, A., Judeson Antony Kovilpillai, J.

    “…Environmental factors, particularly vibrations and temperature can damage the structural health of the building. To avoid heavy damage to the building and to…”
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    Conference Proceeding
  5. 5

    Temperature Prediction of Permanent Magnet Synchronous Motor Using AI Techniques for Effective Traction Control by Kovilpillai J, Judeson Antony, K, Lalli, Yadav, Puneet Kumar, M, Prabhakaran

    “…In the realm of traction drive applications, there exists a compelling need for harnessing Artificial Intelligence (AI) techniques to predict electric motor…”
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    Conference Proceeding
  6. 6

    Electrical Faults-Detection and Classification using Machine Learning by K, Janarthanam, P, Kamalesh, T V, Basil, Kovilpillai J, Judeson Antony

    “…This paper focuses on the detection of faults occurring in electrical power transmission lines using machine learning techniques and algorithms. In the recent…”
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    Conference Proceeding
  7. 7

    An optimized deep learning approach to detect and classify defective tiles in production line for efficient industrial quality control by Kovilpillai, J. Judeson Antony, Jayanthy, S.

    Published in Neural computing & applications (01-05-2023)
    “…In this paper, a deep learning-based machine vision approach is proposed to automatically detect and classify defective tiles in the production assembly line…”
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    Journal Article
  8. 8

    Greenhouse Monitoring and Controlling using Modified K Means Clustering Algorithm by Neethu, B.N., Jayanthy, S, J, Judeson Antony Kovilpillai

    “…An embedded system is developed for monitoring and controlling the parameters that affect the growth of plants using STM32F401RE ARM Cortex M4 based…”
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    Conference Proceeding
  9. 9

    Plant Disease Detection and Classification using CNN Model with Optimized Activation Function by Yadhav, S. Yegneshwar, Senthilkumar, T., Jayanthy, S., Kovilpillai, J. Judeson Antony

    “…This paper deals with the optimized real time detection of diseases that affect the plant and the area affected using Convolutional Neural Networks (CNN)…”
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    Conference Proceeding
  10. 10

    Advancing Water Quality Monitoring in Smart Cities using Machine learning Techniques by Kovilpillai J, Judeson Antony, M, Sulaiman S, Mir, Mahmood Hussain, S, Jayanthy, Pragya, Pragya, N, Rajkumar

    “…In smart cities and urban environment, monitoring of water quality is very essential for environmental sustainability, resource optimization, cost management…”
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    Conference Proceeding
  11. 11

    Efficient Implementation of Firmware Over-the-Air Update using Raspberry Pi 4 and STM32F103C8T6 by K, Sabarishraj, S, Jayanthy, Kovilpillai J, Judeson Antony, Santhosh S, Sabari, R, Swathi

    “…The rapidly expanding Internet of Things (IoT) necessitates efficient and secure methods for firmware updates to improve device functionality, introduce new…”
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    Conference Proceeding
  12. 12
  13. 13

    Battery Range Estimation in Electric Vehicles Using Machine Learning and Deep Learning Techniques by M., Sulaiman S., Kovilpillai J, Judeson Antony, Mir, Mahmood Hussain, R, Golda Brunet, Pragya, Soumi

    “…Greenhouse gas emission has been a prominent issue leading to global warming. One of the reasons is the use of motor vehicles fueled by oil and natural gas…”
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    Conference Proceeding
  14. 14

    Otoscopy Image Classification Using Embedded AI by V, Ancy Jenisha, S, Jayanthy, Kovilpillai J, Judeson Antony, G, Abinaya, K, Abinayasri

    “…To diagnose different ear diseases and disorders, otoscopy is an essential diagnostic method that looks at the eardrum and external ear canal. This project…”
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    Conference Proceeding
  15. 15

    Predictive Maintenance of Hydraulic System using Machine Learning Algorithms by Yugapriya, M, Judeson, Antony Kovilpillai J, Jayanthy, S

    “…This project proposes the predictive maintenance and fault tolerance technique to increase the accuracy in Hydraulic system using Machine Learning. Hydraulic…”
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    Conference Proceeding
  16. 16

    Enhancing street light fault detection in Smart Cities using Machine Learning and Deep Neural Network Approaches by Mir, Mahmood Hussain, Kovilpillai J, Judeson Antony, Mohamed, Sulaiman Syed, Pragya, R, Golda Brunet, Ahmad Mir, Tawseef

    “…In today's smart city era, efficient management of infrastructure, including street lighting, is vital for ensuring safety, reducing energy consumption, and…”
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    Conference Proceeding
  17. 17

    Predictive Modelling for Effective Energy Consumption in Industry 4.0 using machine learning techniques by Pragya, Pragya, Kovilpillai J, Judeson Antony, Hussain Mir, Mahmood, Mir, Tawseef Ahmad, E., Goutham, Mohamed, Sulaiman Syed

    “…Optimizing energy consumption has become an important challenge for the steel industry as it moves towards Industry 4.0. This paper develops a predictive…”
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    Conference Proceeding
  18. 18

    Anomaly Analysis in Machine Sensors by Parthasarathy, T., Kovilpillai, J. Judeson Antony, Irfan, H. Mohammed, Ramprasath, B.

    “…In Industries, cutting blades is considered the main role in manufacturing the products. The cutting gathering is also a significant part of the machine to…”
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    Conference Proceeding
  19. 19

    Advancements in road surface classification: a comprehensive review of computer vision and IoT approaches by Kovilpillai J, J. A., Dhar, S., Singh, U. K., Prakash, S., Saidala, R. K., Jayanthy, S.

    “…The rapid expansion of autonomous driving technologies necessitates the development of robust systems for accurate road surface identification and…”
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    Conference Proceeding