Human-centered Data Analytics: Technology for Sustainable Development

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Details

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.


Inhalt

.- 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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783032091529
    • Genre Information Technology
    • Editor Suparna Dhar, Sanjay Goswami, Dinesh Kumar Unni Krishnan, Indranil Bose, Rameshwar Dubey, Chandan Mazumdar, Xi Chen
    • Lesemotiv Verstehen
    • Anzahl Seiten 285
    • Größe H16mm x B155mm x T235mm
    • Jahr 2025
    • EAN 9783032091529
    • Format Kartonierter Einband
    • ISBN 978-3-032-09152-9
    • Titel Human-centered Data Analytics: Technology for Sustainable Development
    • Untertitel Third Analytics Global Conference, AGC 2025, Kolkata, India, March 8-9, 2025, Revised Selected Papers
    • Gewicht 458g
    • Herausgeber Springer
    • Sprache Englisch

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