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Smart Intelligent Computing and Applications, Volume 2|Suresh Chandra Satapathy

Smart Intelligent Computing and Applications, Volume 2 : Proceedings of Fifth International Conference on Smart Computing and Informatics (Sci 2021)

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Overview

Music Recommendation Engine Using Emotion Synthesis Through Facial Recognition.- Indian Alphabets and Digits Sign Recognition using Pre-trained Model.- An efficient Information retrieval technique for Document Classification.- A Featurized Learning Approach for Health Monitoring in Hydraulic Systems Using Multivariate Time Series Data.- Lockdown phases and changing clusters of Indian states with respect to number of cases of COVID-19.- Non-invasive Measurement of Blood Sugar using Near-Infrared Spectroscopy.- Contemporary Technique for Detection of Brain Tumor in fluid Attenuated Inversion Recovery MRI Images.- Deep Learning Network for Face Identification across Illumination and Blur.- Use of Thermal Images for Face Mask Detection with Deep CNN.- Cardiovascular Disease Prediction using Machine Learning with Flask API.- An Ensemble CNN model for Identification of Diabetic Retinopathy Eye Disease.- Efficient Email classification Algorithm for Better Customer Support.- Efficient Email classification Algorithm for Better Customer Support.- Machine Learning for Detection of Obstructive Sleep Apnea.- Mammogram Image Fusion Using Sigmoidal Function and Max. Fusion Rule.- Impact of Climate Change and Land Cover on the Run-off Estimation Using SWAT Modelling.- Breast Cancer Prediction using Machine Learning Techniques.- Crime Rate Analysis and Prediction in Delhi using Facebook Prophet.- A generic Blockchain-based Remote Clinical Monitoring Framework through Wearable devices to mitigate the COVID-19 pandemic.- Detecting Face Mask for Prevent Covid 19 Using Deep Learning: A Novel Approach.- Different Feature Selection Methods Performance Analysis for Intrusion Detection.- Framework for Diabetic Retinopathy Classification.- Support Vector MachineClassification of Remote Sensing Images with the Wavelet based Statistical features.

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Details

  • ISBN-13: 9789811697043
  • ISBN-10: 9811697043
  • Publisher: Springer
  • Publish Date: May 2022
  • Dimensions: 9.21 x 6.14 x 1.38 inches
  • Shipping Weight: 2.35 pounds
  • Page Count: 617

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