M Velammal

@kce.ac.in

Assistant Professor, Department of Information Technology
Karpagam College of Engineering

M Velammal


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https://researchid.co/velammal

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Vision and Pattern Recognition, Artificial Intelligence
2

Scopus Publications

22

Scholar Citations

2

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Safeguarding the Homeless Using ViTransformer in Violence Detection
    R Bhuvaneswari, Sai Lasya M, B Natarajan, Tamilselvi M, K Geetha, M Velammal
    2024 IEEE International Conference on Intelligent Techniques in Control Optimization and Signal Processing Incos 2024 Proceedings, 2024
    In recent years, the issue of homelessness has gained significant attention as societies grapple with finding solutions to alleviate the plight of those without stable shelter. To address this pressing concern, this research utilizes advanced video analysis techniques, specifically Vision Transformer, to detect the presence of individuals in homeless populations. By leveraging state-of-the-art technology, the research aims to not only identify individuals but also discern their actions and activities within the monitored environment. The methodology involves the initial detection of persons using Vi Transformer, an innovative deep learning model renowned for its accuracy in object recognition tasks. Once a person is successfully identified, this research further scrutinizes their activities, with a particular focus on detecting instances of conflict or fighting. This step holds immense potential or the safety and well-being of homeless individuals, as it enables the swift notification of nearby authorities or support services in cases of altercation. Crucially, this research delves into the performance metrics of both person detection and activity detection experiments, providing valuable insights into the efficacy of the Vi Transformer model in real-world applications. By assessing the system's accuracy, speed, and reliability, this study contributes to the development of proactive strategies for assisting homeless populations, emphasizing the importance of technology in addressing social challenges.
  • Intelligent IoT-Based Water Quality Monitoring System Using TD-CNN-LSTM Approach
    M. Velammal, Vittam Rakesh, K. Kartheeban, Khalid Ali Qidwai, G Shyamala, Thulasimani T
    International Conference on Self Sustainable Artificial Intelligence Systems Icssas 2023 Proceedings, 2023
    Today, water contamination affects a large portion of the world's population. Manually collecting water samples from various sites and analyzing them in a lab as part of the routine monitoring technique. These approaches used to be effective, but they are now too slow and laborious to be practical. In addition, cutting-edge methods consider a wide range of physical and chemical elements. The standard method of quality monitoring and data sharing is time-consuming, unreliable, and costly. This emphasizes the need for constant, around-the-clock water quality monitoring. Basic Data Preprocessing, feature selection, and model training are the three main pillars of the proposed approach. The proposed method employs the preprocessing tools. The proposed system used the SOFM method (Structure-From-Function-Movement) to identify and eliminate unnecessary features selection. A model's accuracy can be measured with the help of prediction tools like utilizing CNN, LSTM, and TD-CNN-LSTM, models are trained. The proposed model outperforms two current top-tier contenders. The proposed method achieves higher accuracy (about 98.37%) when compared to other approaches like CNN and LSTM.

RECENT SCHOLAR PUBLICATIONS

  • A MACHINE LEARNING DRIVEN APPROACH TO SECURE AND EFFICIENT ELECTRIC VEHICLE CHARGING DEMAND PREDICTION USING CRYPTOGRAPHY
    DDRDMMVSRPTRGND Roy, RHGSSPSPKSDHADIDSR Prabu J
    IN Patent 202,441,084,343 , 2024
    2024
  • Fraudulent Profile Identifier and Conversation Monitor
    SMP Velammal M, RAHUL.E, SHARULATHA.B, SANTHANA SAKTHI.P
    High Technology Lettersv 30 (5), 133-138 , 2024
    2024
  • Safeguarding the Homeless Using ViTransformer in Violence Detection
    R Bhuvaneswari, B Natarajan, K Geetha, M Velammal
    2024 Third International Conference on Intelligent Techniques in Control … , 2024
    2024
    Citations: 1
  • Optimised Disease Detection in Avocado Crop using Deep Learning Employing Vision Transformer
    YP Velammal M,Rajeswari V,Atishri Darshine V,Dharnesh V,Theoder Harish T
    Journal of Basic Scienc and Engineering 21 (1), 18 , 2024
    2024
  • Intelligent IoT-Based water quality monitoring system using TD-CNN-LSTM Approach
    M Velammal, V Rakesh, K Kartheeban, KA Qidwai, G Shyamala
    2023 International Conference on Self Sustainable Artificial Intelligence … , 2023
    2023
    Citations: 11
  • Artificial Intelligence based technique for Photovoltaic Fault Detection using various Instruments along with Comparative Analysis
    MMM Dr.H.Umamaheswari, M.Velammal,Prasanna Kumar S G,Kameshwar Rao,Malini T ...
    IN Patent 202,341,052,594 , 2023
    2023
  • MULTIFRAME IMAGE RESTORATION USING GENERATIVE ADVERSARIAL NETWORKS.
    M Velammal, TI Singh, NM Patil, S Pal
    ICTACT Journal on Image & Video Processing 14 (1) , 2023
    2023
    Citations: 10

MOST CITED SCHOLAR PUBLICATIONS

  • Intelligent IoT-Based water quality monitoring system using TD-CNN-LSTM Approach
    M Velammal, V Rakesh, K Kartheeban, KA Qidwai, G Shyamala
    2023 International Conference on Self Sustainable Artificial Intelligence … , 2023
    2023
    Citations: 11
  • MULTIFRAME IMAGE RESTORATION USING GENERATIVE ADVERSARIAL NETWORKS.
    M Velammal, TI Singh, NM Patil, S Pal
    ICTACT Journal on Image & Video Processing 14 (1) , 2023
    2023
    Citations: 10
  • Safeguarding the Homeless Using ViTransformer in Violence Detection
    R Bhuvaneswari, B Natarajan, K Geetha, M Velammal
    2024 Third International Conference on Intelligent Techniques in Control … , 2024
    2024
    Citations: 1
  • A MACHINE LEARNING DRIVEN APPROACH TO SECURE AND EFFICIENT ELECTRIC VEHICLE CHARGING DEMAND PREDICTION USING CRYPTOGRAPHY
    DDRDMMVSRPTRGND Roy, RHGSSPSPKSDHADIDSR Prabu J
    IN Patent 202,441,084,343 , 2024
    2024
  • Fraudulent Profile Identifier and Conversation Monitor
    SMP Velammal M, RAHUL.E, SHARULATHA.B, SANTHANA SAKTHI.P
    High Technology Lettersv 30 (5), 133-138 , 2024
    2024
  • Optimised Disease Detection in Avocado Crop using Deep Learning Employing Vision Transformer
    YP Velammal M,Rajeswari V,Atishri Darshine V,Dharnesh V,Theoder Harish T
    Journal of Basic Scienc and Engineering 21 (1), 18 , 2024
    2024
  • Artificial Intelligence based technique for Photovoltaic Fault Detection using various Instruments along with Comparative Analysis
    MMM Dr.H.Umamaheswari, M.Velammal,Prasanna Kumar S G,Kameshwar Rao,Malini T ...
    IN Patent 202,341,052,594 , 2023
    2023