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AGC 2023 = first analytics global conference, AGC 2023, Kolkata, India, April 28-29, 2023 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	AGC 2023/ edited by Suparna Dhar ... [et al.].
其他題名:	first analytics global conference, AGC 2023, Kolkata, India, April 28-29, 2023 : proceedings /
其他作者:	Dhar, Suparna.
團體作者:	AGC (Conference)
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	x, 183 p. :ill., digital ;24 cm.
內容註:	Applications of Analytics in Business -- Efficiency and Benchmarking using DEA and Tessellation in Retail Stores -- A Machine Learning framework developed by leveraging the Topological Pattern Analysis of Bitcoin Addresses in Blockchain Network for Ransomware Identification -- A Taxonomy and Survey of Software Bill of Materials (SBOM) Generation Approaches -- Find Your Donor (FYD): An Algorithmic Approach Towards Empowering Lives & Innovating Healthcare -- Machine Learning, Deep Learning and Text Analytics -- Deep Learning-based Multiple Detection Techniques of Covid-19 Disease from Chest X-Ray Images using Advanced Image Processing Methods and Transfer Learning -- Classification Model to predict the Outcome of an IPL Match -- Knowledge Graph-based Evaluation Metric for Conversational AI Systems: A step towards Quantifying Semantic Textual Similarity -- Are we nearing Singularity? A study of language capabilities of ChatGPT -- THRESHOLDING TECHNIQUES COMPARSION ON GRAYSCALE IMAGE SEGMENTATION -- Automated Pneumonia Diagnosis from Chest X-rays using Deep Learning Techniques -- Detecting Emotional Impact on Young Minds based on Web Page text Classification using Data Analytics and Machine Learning.
Contained By:	Springer Nature eBook
標題:	Machine learning - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-50815-8
ISBN:	9783031508158

AGC 2023 = first analytics global conference, AGC 2023, Kolkata, India, April 28-29, 2023 : proceedings /
AGC 2023first analytics global conference, AGC 2023, Kolkata, India, April 28-29, 2023 : proceedings /[electronic resource] :edited by Suparna Dhar ... [et al.]. - Cham :Springer Nature Switzerland :2024. - x, 183 p. :ill., digital ;24 cm. - Communications in computer and information science,20081865-0937 ;. - Communications in computer and information science ;2008..

Applications of Analytics in Business -- Efficiency and Benchmarking using DEA and Tessellation in Retail Stores -- A Machine Learning framework developed by leveraging the Topological Pattern Analysis of Bitcoin Addresses in Blockchain Network for Ransomware Identification -- A Taxonomy and Survey of Software Bill of Materials (SBOM) Generation Approaches -- Find Your Donor (FYD): An Algorithmic Approach Towards Empowering Lives & Innovating Healthcare -- Machine Learning, Deep Learning and Text Analytics -- Deep Learning-based Multiple Detection Techniques of Covid-19 Disease from Chest X-Ray Images using Advanced Image Processing Methods and Transfer Learning -- Classification Model to predict the Outcome of an IPL Match -- Knowledge Graph-based Evaluation Metric for Conversational AI Systems: A step towards Quantifying Semantic Textual Similarity -- Are we nearing Singularity? A study of language capabilities of ChatGPT -- THRESHOLDING TECHNIQUES COMPARSION ON GRAYSCALE IMAGE SEGMENTATION -- Automated Pneumonia Diagnosis from Chest X-rays using Deep Learning Techniques -- Detecting Emotional Impact on Young Minds based on Web Page text Classification using Data Analytics and Machine Learning.

This book constitutes the refereed proceedings of the 1st Analytics Global Conference, AGC 2023, held in Kolkata, India, in April 2023. The AGC conference sought to facilitate industry-academia interfacing in the domain of machine learning and artificial intelligence. The 11 full papers presented in these proceedings were carefully reviewed and selected from 36 submissions. The papers are organized in the two topical sections: Applications of Analytics in Business and Machine Learning & Deep Learning and Text Analytics.

ISBN: 9783031508158

Standard No.: 10.1007/978-3-031-50815-8doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

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