Search Results - "Jose, Jisha Anu"

  • Showing 1 - 7 results of 7
Refine Results
  1. 1

    Tuna classification using super learner ensemble of region-based CNN-grouped 2D-LBP models by Jose, Jisha Anu, Kumar, C. Sathish, Sureshkumar, S.

    Published in Information processing in agriculture (01-03-2022)
    “…•An ensemble of region based CNN is used for Tuna classification.•Best model for each fish image region is identified.•Statistical features from the CNN model…”
    Get full text
    Journal Article
  2. 2

    A deep multi-resolution approach using learned complex wavelet transform for tuna classification by Jose, Jisha Anu, Sathish Kumar, C., Sureshkumar, S.

    “…Tuna fish is commercially important because of its popularity as both canned and raw meat. Tuna account for a significant proportion of the world fishery…”
    Get full text
    Journal Article
  3. 3

    Automated region split algorithm with pre-trained CNN model for tuna classification by Jose, Jisha Anu, Kumar, C. Sathish, Sureshkumar, S.

    “…Tuna is an essential fish due to its nutritional content and is one of the most commonly traded fish in the world. These fish are manually separated into…”
    Get full text
    Conference Proceeding
  4. 4

    An ensemble of region-based CNN models combined by sum rule for tuna classification by Jose, Jisha Anu, Kumar, C. Sathish, Sureshkumar, S.

    “…Among the most widely traded fish in the world, Tuna is an important fish due to their nutritional value. In the export industry, these fish are manually…”
    Get full text
    Conference Proceeding
  5. 5

    Tuna classification using colour, structure, wavelet, and fuzzy based textural features by Anu Jose, Jisha, Sathish Kumar, C., Sureshkumar, S.

    “…Tuna is one among the popular commercial fishes and forms a major proportion of world fishery products. Separation of these fishes into different species is…”
    Get full text
    Conference Proceeding
  6. 6

    Data hiding using motion histogram by Jose, J. A., Titus, G.

    “…This paper deals with data hiding in uncompressed video. Unlike using motion vector for data hiding which gives only a coarse representation of the actual…”
    Get full text
    Conference Proceeding Journal Article
  7. 7

    A wavelet based time-frequency descriptor for automatic classification of acoustic signals of fishes by J, Amal R., Sathish Kumar, C., Anu Jose, Prof Jisha

    “…Fishes are capable of emitting sounds for diverse purposes, which can be recorded through microphone sensors. This work aims to develop a methodology for…”
    Get full text
    Conference Proceeding