Human-centered Data Analytics: Technology for Sustainable Development
Description
This book constitutes the refereed proceedings of the Third Analytics Global Conference on Human-centered Data Analytics: Technology for Sustainable Development, AGC 2025, held in Kolkata, India, during March 8-9, 2025.
The 16 full papers presented in these proceedings were carefully reviewed and selected from 46 submissions. The papers are organized in these topical sections: Health and Well-Being; Social Well-Being; Financial Security.
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Content
.- Health and Well-Being.
.- Deep Learning for Depression Detection Using EEG Signals: A RNN Based Approach.
.- Detection of gynecological and andrological cancers using AI: A Review.
.- Developing a framework driven by analytics to forecast the binding free energy level and, consequently, the new inhibitor nature of medicinal chemical compounds.
.- Dynamic Weighted Deep Learning Ensemble Model for Accurate Cervical Cancer Classification from Pap Smear Images .
.- Is The Indian Information Technology Sector COVID-19 Infected?.
.- SLR Framework: Enhancing Communication for Deaf Individuals with Smart Glove and Machine Learning.
.- Social Well-Being.
.- Automated Thematic Analysis of CSR Reports Using Machine Learning.
.- Information Hiding by Graph Labelling through AI.
.- Machine Learning of Forced Convection Heat Transfer.
.- Simulated Longitudinal Dynamic Decision Networks (SLDDN).
.- The Effects on Bug Resolution Time: A Causal Discovery Perspective.
.- Vulgar Language Detection using web-scraped X data: A Machine Learning Approach.
.- Financial Security.
.- ATM Fraud Detection using Streaming Data Analytics.
.- FedELF: A Privacy-preserving Federated Classification using Iterative Extreme Learning Factory.
.- Gen AI-Assisted Copilot for Risk Analysts.
.- Nowcasting the Financial Time Series with Streaming Data Analytics under Apache Spark.
