Jibi Thanikkal

Employment

• Ministry of Earth Sciences
  2025 - Present

Education

• Amity University Phd
  2016 - 2023

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Deep learning based identification of aquatic and semi aquatic plants
  Expert Systems 2023 DOI: 10.1111/exsy.13473
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• A deep-feature based estimation algorithm (DFEA) for catastrophic forgetting
  Journal of Ambient Intelligence and Humanized Computing 2023 DOI: 10.1007/s12652-023-04686-7
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• An Efficient Mobile Application for Identification of Immunity Boosting Medicinal Plants using Shape Descriptor Algorithm
  Wireless Personal Communications 2023 DOI: 10.1007/s11277-023-10476-3
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• Deep - Morpho Algorithm (DMA) for medicinal leaves features extraction
  Multimedia Tools and Applications 2023 DOI: 10.1007/s11042-023-14567-y
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• A novel edge detection method for medicinal plant's leaf features extraction
  International Journal of System Assurance Engineering and Management 2023 DOI: 10.1007/s13198-022-01814-y
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• Deep Learning based Aquatic and Semi Aquatic Plants Morphological Features Extraction and Classification
  International Journal of Performability Engineering 2022 DOI: 10.23940/ijpe.22.10.p3.702-709
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• Importance of Image Morphological Features in Continues Learning
  2022 International Mobile and Embedded Technology Conference, MECON 2022 2022 DOI: 10.1109/MECON53876.2022.9752445
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• Unique Shape Descriptor Algorithm for Medicinal Plant Identification (SDAMPI) With Abridged Image Database
  IEEE Sensors Journal 2020 DOI: 10.1109/JSEN.2020.3002909
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• Advanced Plant Leaf Classification Through Image Enhancement and Canny Edge Detection
  2018 7th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2018 2018 DOI: 10.1109/ICRITO.2018.8748587
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• Whether color, shape and texture of leaves are the key features for image processing based plant recognition? An analysis!
  2017 Recent Developments in Control, Automation and Power Engineering, RDCAPE 2017 2018 DOI: 10.1109/RDCAPE.2017.8358305
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