This special issue provides a forum for original research, emerging ideas, and practical developments that explore the transformative role of Artificial Intelligence (AI) in research, industry, and society. Emphasis is placed on advanced and sustainable AI-driven solutions that enable intelligent data analysis, predictive modeling, and adaptive decision-making in complex and dynamic environments. The issue highlights AI applications across diverse domains, including healthcare, industry, mobility, and environmental systems, with particular attention to climate modeling, resource optimization, ecosystem monitoring, and energy-efficient technologies. By integrating AI with enabling technologies such as Big Data, IoT, and robotics, this collection addresses both real-world challenges and societal needs. Contributions also examine key challenges related to data quality, robustness, explainability, ethics, and regulatory compliance. Bringing together insights from academia and industry, this special issue aims to advance innovative, resilient, and environmentally sustainable AI solutions for the future.
Building similarity graph...
Analyzing shared references across papers
Loading...
Shadi Saleh
Chemnitz University of Technology
Building similarity graph...
Analyzing shared references across papers
Loading...
Shadi Saleh (Tue,) studied this question.
www.synapsesocial.com/papers/69d895a86c1944d70ce06b2f — DOI: https://doi.org/10.14464/ess.v13i15.965