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Big Data Analytics in Astronomy, Science, and Engineering

Overview of attention for book
Cover of 'Big Data Analytics in Astronomy, Science, and Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Ontology Augmented Data Lake System for Policy Support
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    Chapter 2 Explorations in Active Learning Applied to Image Classification
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    Chapter 3 Discovery of Small Signals in Big Backgrounds
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    Chapter 4 Neuro-Symbolic Regression with Applications
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    Chapter 5 Introducing Federated Learning into Internet of Things Ecosystems – Maintaining Cooperation Between Competing Parties
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    Chapter 6 Blockchain Based B-Health Prototype for Secure Healthcare Transactions
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    Chapter 7 A Blockchain-Based Approach for Audit Management of Electronic Health Records
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    Chapter 8 Sentinel: An Enhanced Multimodal Biometric Access Control System
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    Chapter 9 A Programmatic Solution to Stop Heartbleed Bug Attack
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    Chapter 10 A Short Review on Cataract Detection and Classification Approaches Using Distinct Ophthalmic Imaging Modalities
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    Chapter 11 Automatic Identification of Cataract by Analyzing Fundus Images Using VGG19 Model
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    Chapter 12 Sensors Based Advanced Bluetooth Pulse Oximeter System
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    Chapter 13 Saral Anuyojan: An Interactive Querying Interface for EHR
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    Chapter 14 Integrated Transmission and Distribution Modelling Using Multi-agent Based Framework
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    Chapter 15 Incremental SVD-Based Hybrid Movie Recommendation to Improve Content Delivery Over CDN
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    Chapter 16 Improving Emotional Confusions in SNS Sentiment Analysis by Partial Redistribution of BERT Discrimination Results
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    Chapter 17 A Scientific Perspective of Agnihotra to Curtail Pollutants in the Air
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    Chapter 18 Policy Driven Epidemiological (PDE) Model for Prediction of COVID-19 in India
Attention for Chapter 17: A Scientific Perspective of Agnihotra to Curtail Pollutants in the Air
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Chapter title
A Scientific Perspective of Agnihotra to Curtail Pollutants in the Air
Chapter number 17
Book title
Big Data Analytics in Astronomy, Science, and Engineering
DOI 10.1007/978-3-031-28350-5_17
Book ISBNs
978-3-03-128349-9, 978-3-03-128350-5
Authors

Bhatia, Shailee, Sachdeva, Shelly, Goswami, Puneet

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The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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