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AGC 2023

Overview of attention for book
Cover of 'AGC 2023'

Table of Contents

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    Book Overview
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    Chapter 1 Efficiency and Benchmarking Using DEA and Tessellation in Retail Stores
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    Chapter 2 A Machine Learning Framework Developed by Leveraging the Topological Pattern Analysis of Bitcoin Addresses in Blockchain Network for Ransomware Identification
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    Chapter 3 A Taxonomy and Survey of Software Bill of Materials (SBOM) Generation Approaches
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    Chapter 4 Find Your Donor (FYD): An Algorithmic Approach Towards Empowering Lives and Innovating Healthcare
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    Chapter 5 Deep Learning-Based Multiple Detection Techniques of Covid-19 Disease From Chest X-Ray Images Using Advanced Image Processing Methods and Transfer Learning
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    Chapter 6 Classification Model to Predict the Outcome of an IPL Match
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    Chapter 7 Knowledge Graph-Based Evaluation Metric for Conversational AI Systems: A Step Towards Quantifying Semantic Textual Similarity
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    Chapter 8 Are We Nearing Singularity? A Study of Language Capabilities of ChatGPT
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    Chapter 9 Thresholding Techniques Comparsion on Grayscale Image Segmentation
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    Chapter 10 Automated Pneumonia Diagnosis from Chest X-rays Using Deep Learning Techniques
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    Chapter 11 Detecting Emotional Impact on Young Minds Based on Web Page Text Classification Using Data Analytics and Machine Learning
Attention for Chapter 3: A Taxonomy and Survey of Software Bill of Materials (SBOM) Generation Approaches
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Readers on

mendeley
2 Mendeley
Summary
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Chapter title
A Taxonomy and Survey of Software Bill of Materials (SBOM) Generation Approaches
Chapter number 3
Book title
AGC 2023
Published in
Communications in Computer and Information Science, January 2024
DOI 10.1007/978-3-031-50815-8_3
Book ISBNs
978-3-03-150814-1, 978-3-03-150815-8
Authors

Sehgal, Vandana Verma, Ambili, P. S.

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Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 2 100%
Readers by discipline Count As %
Business, Management and Accounting 1 50%
Unknown 1 50%

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