Artificial Intelligence for Climate Hazards

Artificial Intelligence for Climate Hazards portes grátis

Artificial Intelligence for Climate Hazards

Jablonski, Marek; Jablonski, Adam

Taylor & Francis Ltd

05/2026

162

Dura

Inglês

9781032561295

Pré-lançamento - envio 15 a 20 dias após a sua edição

Descrição não disponível.
Preface. List of Figures. List of Tables. The Main Objective of the Scientific Discussion. Artificial Intelligence as a Research Object in Management and Climate Sciences and as a Practical Tool for Modern Business Solutions. Systematic Literature Review-Description of the Landscape of AI Research. Artificial Intelligence-Key Meanings and Interpretations in the Context of Climate Change. Artificial Intelligence and an Overview of Selected Solutions for Creating Positive Climate Changes. Climate Hazard Management Mechanisms using Artificial Intelligence Solutions. Contextualization of the Place and Role of Artificial Intelligence in Climate Hazard Management. The Authors' Original Concept for the Development of the Evolutionary Cycle of Climate Business Models-From Sustainable Business Models to AI Climate-Changing Business Models. The Authors' Original Concept of Climate Hazard Management by Means of Artificial Intelligence. The Authors' Original Concept of Developing AI Mechanisms and Solutions in Climate Hazard Management. The Authors' Original Spiral of Knowledge on the use of Artificial Intelligence Mechanisms to Solve Problems in the Field of Climate Hazards and Climate Change. Discussion of Research Results - Conclusions for Theory, Practice, Future Research Directions and Limitations of the Research Process, Theoretical Implications, Practical Implications, Potentially Interesting Future Research Directions, Research Limitations. Recommendations and Strategic Axioms for the Development of Artificial Intelligence in Climate Hazard Management. Conclusion. Index.
digital transformation strategies;environmental risk analysis;automation in sustainability;robotics for environmental management;cybersecurity in environmental systems;sustainable business modeling;artificial intelligence climate hazard management