Search Results - "Thyagharajan, K K"

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  1. 1

    Soft Computing Techniques for Land Use and Land Cover Monitoring with Multispectral Remote Sensing Images: A Review by Thyagharajan, K. K., Vignesh, T.

    “…Multispectral remote sensing images are the primary source in the land use and land cover (LULC) monitoring. This is achieved by LULC classification and LULC…”
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    Journal Article
  2. 2

    A Review on Near-Duplicate Detection of Images using Computer Vision Techniques by Thyagharajan, K. K., Kalaiarasi, G.

    “…Nowadays, digital content is widespread and simply redistributable, either lawfully or unlawfully. For example, after images are posted on the internet, other…”
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    Journal Article
  3. 3
  4. 4

    A Review of Visual Descriptors and Classification Techniques Used in Leaf Species Identification by Thyagharajan, K. K., Kiruba Raji, I.

    “…Plants are fundamentally important to life. Key research areas in plant science include plant species identification, weed classification using hyper spectral…”
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    Journal Article
  5. 5

    Type 1 and Type 2 Diabetes Measurement Using Human Face Skin Region by Euprazia, L. Aneesh, Rajeswari, A., Thyagharajan, K. K., Shanker, N. R.

    Published in Journal of diabetes research (26-09-2023)
    “…Aim. Analyse the diabetes mellitus (DM) of a person through the facial skin region using vision diabetology. Diabetes mellitus is caused by persistent high…”
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    Journal Article
  6. 6

    Efficient DWT-based fusion techniques using genetic algorithm for optimal parameter estimation by Kavitha, S., Thyagharajan, K. K.

    Published in Soft computing (Berlin, Germany) (01-06-2017)
    “…Image fusion plays a vital role in medical imaging. Image fusion aims to integrate complementary as well as redundant information from multiple modalities into…”
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    Journal Article
  7. 7

    Micro-Facial Expression Recognition Based on Deep-Rooted Learning Algorithm by Lalitha, S. D., Thyagharajan, K. K.

    “…Facial expressions are important cues to observe human emotions. Facial expression recognition has attracted many researchers for years, but it is still a…”
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    Journal Article
  8. 8

    Clustering of near duplicate images using bundled features by Kalaiarasi, G., Thyagharajan, K. K.

    Published in Cluster computing (01-09-2019)
    “…Clustering the images is generally based on the image’s visual features. Selection of relevant features is the most essential task. A clustering approach based…”
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    Journal Article
  9. 9

    H.264 SVC Complexity Reduction Based on Likelihood Mode Decision by Balaji, L., Thyagharajan, K. K.

    Published in TheScientificWorld (2015)
    “…H.264 Advanced Video Coding (AVC) was prolonged to Scalable Video Coding (SVC). SVC executes in different electronics gadgets such as personal computer, HDTV,…”
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    Journal Article
  10. 10

    Manifold scalable video conveyance for m-wellbeing crisis relevance by Balaji, L., Thyagharajan, K. K.

    Published in Cluster computing (01-09-2019)
    “…M-wellbeing utilities are possible to be more and more significant in managing crisis relevance’s which allows backing in real-time through distant health…”
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    Journal Article
  11. 11

    Semantic Rule Based Image Visual Feature Ontology Creation by Minu, R. I., Thyagharajan, K. K.

    “…Multimedia is one of the important communication channels for mankind. Due to the advancement in technology and enormous growth of mankind, a vast array of…”
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    Journal Article
  12. 12

    An enhanced performance for H.265/SHVC based on combined AEGBM3D filter and back-propagation neural network by Balaji, L., Thyagharajan, K. K.

    Published in Signal, image and video processing (01-07-2018)
    “…This paper deals with primary latest video coding standard H.265/SHVC, a scalable extension to High Efficiency Video Coding (HEVC). HEVC introduces new coding…”
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    Journal Article
  13. 13

    A novel fuzzy scheduler for cell-edge users in LTE-advanced networks using Voronoi algorithm by Radhakrishnan, S., Neduncheliyan, S., Thyagharajan, K. K.

    Published in Cluster computing (01-07-2019)
    “…LTE-Advanced, the 4.5 G technology is built upon 3GPP specifications, is going to rule the wireless network world. This work proposes an energy efficient,…”
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    Journal Article
  14. 14

    H.264/SVC Mode Decision Based on Mode Correlation and Desired Mode List by Balaji, L., Thyagharajan, K. K.

    “…Design of video encoders involves implementation of fast mode decision(FMD) algorithm to reduce computation complexity while maintaining the performance of the…”
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    Journal Article
  15. 15

    Transforming Agriculture with AI: Automated Crop Insect Identification Using InceptionV3 Transfer Learning by K, Thyagharajan. K., G, Kalaiarasi, G, Nirmala, P, Saravanan, T, Vignesh, V, Makashkumar

    “…Identifying crop insects and classifying them is a challenging task for agriculturalists. A transfer learning method is suggested in this paper to address this…”
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    Conference Proceeding
  16. 16

    Efficient DWT-based fusion techniques using genetic algorithm for optimal parameter estimation by Kavitha, S, Thyagharajan, K. K

    Published 22-09-2020
    “…Image fusion plays a vital role in medical imaging. Image fusion aims to integrate complementary as well as redundant information from multiple modalities into…”
    Get full text
    Journal Article
  17. 17

    H.264/SVC Mode Decision Based on Mode Correlation and Desired Mode List by Balaji, L, Thyagharajan, K. K

    Published 22-09-2020
    “…11(5), October 2014, 510-516 The design of video encoders involves the implementation of fast mode decision (FMD) algorithm to reduce computation complexity…”
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    Journal Article
  18. 18

    An enhanced performance for H.265/SHVC based on combined AEGBM3D filter and back-propagation neural network by Balaji, L, Thyagharajan, K. K

    Published 20-09-2020
    “…12 (2018) 809-817 This paper deals with the latest video coding standard H265 SHVC, a scalable extension to High Efficiency Video Coding (HEVC). HEVC…”
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    Journal Article
  19. 19

    Features based Mammogram Image Classification using Weighted Feature Support Vector Machine by Kavitha, S, Thyagharajan, K. K

    Published 19-09-2020
    “…Vol. 270, 2012, 320-329 In the existing research of mammogram image classification, either clinical data or image features of a specific type is considered…”
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    Journal Article
  20. 20

    A Review on Near Duplicate Detection of Images using Computer Vision Techniques by Thyagharajan, K. K, Kalaiarasi, G

    Published 07-09-2020
    “…Nowadays, digital content is widespread and simply redistributable, either lawfully or unlawfully. For example, after images are posted on the internet, other…”
    Get full text
    Journal Article