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Big Data Analytics in Astronomy, Science, and Engineering

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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
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Title
Big Data Analytics in Astronomy, Science, and Engineering
Published by
Springer Nature Switzerland, April 2023
DOI 10.1007/978-3-031-28350-5
ISBNs
978-3-03-128349-9, 978-3-03-128350-5
Editors

Sachdeva, Shelly, Watanobe, Yutaka, Bhalla, Subhash

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