Analytics, Machine Learning, and Artificial Intelligence: Second Analytics Global Conference, AGC 2024, Kolkata, India, March 6-7, 2024, Revised Selected Papers

by Suparna Dhar (Editor), Sanjay Goswami (Editor), Dinesh Kumar Unni Krishnan (Editor), Indranil Bose (Editor), Rameshwar Dubey (Editor)

Overview

This book constitutes the refereed proceedings of the Second Analytics Global Conference on Analytics, Machine Learning, and Artificial Intelligence, AGC 2024, held in Kolkata, India, during March 6-7, 2024.

The 15 full papers and 3 short papers presented in these proceedings were carefully reviewed and selected from 60 submissions. The papers are organized in these topical sections: applications of analytics in business; analytics methods, tools & techniques.

Product Details

ISBN-13:	9783031751561
Publisher:	Springer Nature Switzerland
Publication date:	11/21/2024
Series:	Communications in Computer and Information Science , #2224
Edition description:	2024
Pages:	267
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

.- Applications of Analytics in Business.

.- Next-Gen Cold Storage Surveillance Platform.

.- Attack Hypergraph: A Framework for Modeling Multi-Stage Attacks.

.- Ensuring Integrity in Blockchain-Based Health Information Exchange through Collaborative Data Safeguards.

.- Predictive Modelling of Airline Baggage Complaints Using Facebook Prophet: A Time Series Analysis.

.- Path Planning in Disaster Management Scenarios.

.- Analytics Methods, Tools & Techniques.

.- Machine Learning-Driven Feature Selection for Performance Analysis in Student Mental Health.

.- Utilizing Social Media for Understanding Public Opinion on Transportation in Indian Cities.

.- Classification of Various Iris Patterns of Amphibians using Geometric and Color Features.

.- Recognition of the Hornbill Eye’s Iris using Bit Plane Processing, Un-Sharp Masking and High Boost Filtering.

.- Analyzing Post-Shopping Facial Expressions Unraveling Emotions for Enhanced Consumer Insights.

.- AI Based Energy Resources Management for PV/Wind/Diesel/Battery Hybrid System.

.- Unraveling the Complexity of Anti-Vax Concerns during the COVID-19 Pandemic.

.- Recommending influential authors using content-based filtering and network similarity-a case study on disease-related research.

.- An Examination of the Effectiveness of SMOTE-based Algorithms on Software Defect Prediction.

.- Development of An Essential Education Performance Prediction Tool Using Machine Learning.

.- Groundwater Quality Assessment of Indian Pumping Stations using Unsupervised Machine Learning and Cluster Analysis.

.- Predicting Performance of Players in the Knockouts of Cricket World Cup Based on Their Performance in League Matches Using Machine Learning.

.- Lung-UNet: A modified UNet-based DNN for COVID Lung Segmentation from Chest X-Ray and CT-Scan Images.