Full Description
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.
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.
