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Advanced Techniques for IoT Applications : Proceedings of EAIT 2020 - Debashis De

Advanced Techniques for IoT Applications

Proceedings of EAIT 2020

By: Debashis De (Editor), Jyotsna Kumar Mandal (Editor)

Paperback | 3 August 2021

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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.

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