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AGC 2023

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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
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Title
AGC 2023
Published by
Springer Nature Switzerland, January 2024
DOI 10.1007/978-3-031-50815-8
ISBNs
978-3-03-150814-1, 978-3-03-150815-8
Editors

Dhar, Suparna, Goswami, Sanjay, Dinesh Kumar, U., Bose, Indranil, Dubey, Rameshwar, Mazumdar, Chandan

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