Advanced techniques for IoT applicat...
Mandal, Jyotsna Kumar.

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  • Advanced techniques for IoT applications = proceedings of EAIT 2020 /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Advanced techniques for IoT applications/ edited by Jyotsna Kumar Mandal, Debashis De.
    Reminder of title: proceedings of EAIT 2020 /
    remainder title: EAIT 2020
    other author: Mandal, Jyotsna Kumar.
    corporate name: International Conference on Emerging Applications of Information Technology
    Published: Singapore :Springer Singapore : : 2022.,
    Description: xiv, 617 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: Part I: Image Processing, Computer Vision and Pattern Recognition -- Genetic Dropout: An application to Handwritten Indic Script Classification -- Encryption of Optically Compressed Medical Images using Phase Matrix -- Application of image processing for reconstruction of PATHA art, a cultural heritage of eastern India: An approach using particle swarm optimization technique -- A Transfer learning-based approach for lung inflammation detection -- Caption bot for Assistive Vision -- Tiny Vessels Exploration in Retinal Image using BFS Influenced Flood Filling -- A Reliable and Fast Detection Technique for Lung Cancer Using Digital Image Processing -- Correlation based cluster validity index for recognition of Leukemia mediating biomarkers -- An Approach for Ultrasound Image Enhancement Using Deep Convolutional Neural Network -- Food Calorie Estimation System Using Image ai with Retinanet Feature Extraction -- Sketch-based Image Retrieval using Convolutional Neural Networks based on Feature Adaptation and Relevance Feedback -- Dual image-based data hiding scheme using Quorum Function -- Part II: Intelligent information systems -- Pathway Marker Identification Using Gene Expression Data Analysis: A Particle Swarm Optimisation Approach -- Forecasting of the WPI of Textiles in India: An Neural Approach -- Determining Dark Diversity of Different Faunal Groups in Indian Estuarine Ecosystem: A New Approach with Computational Biodiversity.
    Contained By: Springer Nature eBook
    Subject: Internet of things - Congresses. -
    Online resource: https://doi.org/10.1007/978-981-16-4435-1
    ISBN: 9789811644351
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