Boudriki Semlali / Ben Abdel Ouahab / Bragança Computer Sciences for Sustainable Development

Proceedings of the 6th International Conference on the Digital Age and Technological Innovations for Sustainable Development, Volume 2
Erscheinungsjahr 2026
ISBN: 978-3-032-21200-9
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 524 Seiten

Reihe: Lecture Notes in Networks and Systems

This book delivers cutting-edge insights into how emerging digital technologies are driving real-world sustainable development. Bringing together global experts, it bridges computer science innovations—AI, IoT, big data, cloud computing, green computing—with practical applications in energy, healthcare, agriculture, infrastructure, and policy. Its holistic, cross-disciplinary approach combines technological advances with measurable environmental and societal benefits, grounded in case studies and scalable models. Readers gain strategies to align digital transformation with the UN Sustainable Development Goals, supported by evidence-based research and forward-thinking solutions. Designed for researchers, industry professionals, policymakers, and educators, it serves as a reference, practical guide, and strategic roadmap for leveraging technology responsibly toward a sustainable, inclusive future.

Zielgruppe

Research

Autoren/Hrsg.

Boudriki Semlali, Badr-Eddine

Ben Abdel Ouahab, Ikram

Bragança, Luís

Inhaltsverzeichnis

Advancing Sign Language Recognition Using Deep Learning and Graph Neural Networks.- Deep Learning Approaches for Energy Forecasting: A Comparative Study of PV Production and Consumption Models.- Artificial Intelligence and sustainability in Morocco: What impact of the 2030 World Cup?.- Lasso Regression for Enhanced Market Prediction: An AI Approach to Sustainable Finance in Vietnam.- Seeding the Future of Digital Manufacturing? Understanding the Tech-Savvy Social Entrepreneurs of Gen Z.- Harnessing Artificial Intelligence for Sustainable Groundwater Management: A Comprehensive Review of Recent Advancements and Future Directions.- A Bibliometric Analysis of Environmental, Social, and Governance Score Prediction Using Multiple Analytical Tools.- Extracting UML Class Diagrams from Textual Specifications: Comparative Analysis of Some Deep Language Models.- Harnessing Neural Networks to Tackle Fundamental Challenges in Financial Markets: Toward a Data-Driven Sustainable Finance.- Prediction of Water Consumption using Machine Learning and Deep Learning models a systematic review.- AI-Driven Financial Inclusion for Women Entrepreneurs: A Data-Centric Approach to Sustainable Development.- How can Large Language Model and data augmentation Improve Customer Satisfaction on food delivery services?.- Circular Economy in the AI Age Integrated in Marketing and Sales.- Temporal Subgraphs in Big Graph Data Warehouses.