Computational and statistical tools help manage the prevailing challenges of the 17
Sustainable Development Goals (SDGs) by providing meticulous understanding of …

Machine learning methods originated from artificial intelligence and today are applied in
several fields concerning environmental sciences. Thanks to their powerful nonlinear …

In order to realize the goal of optimal use of energy sources and cleaner environment at a
minimal cost, researchers; field professionals; and industrialists have identified the …

Smart Cities can promote economic growth, sustainable transport, environmental
sustainability, and good governance among cities. These benefits can support cities in …

The book will focus on the applications of machine learning for sustainable development.
Machine learning (ML) is an emerging technique whose diffusion and adoption in various …

Abstract The17 Sustainable Development Goals (SDGs) established by the United Nations
Agenda 2030 constitute a global blueprint agenda and instrument for peace and prosperity …

Artificial neural networks (ANNs) have recently attracted significant attention in
environmental areas because of their great self-learning capability and good accuracy in …

I have studied how artificial intelligence (AI) or machine learning (ML) is applied in a
sustainable system called" Eugenie" for my work, project, and thesis. In this project, I get to …

Artificial Intelligence (AI) has become an important area to tackle most environmental
sustainability issues such as biodiversity, energy, transportation and water management …

When the UN published the 17 Sustainable Development Goals (SDGs) in 2015, emerging
technologies like Artificial Intelligence (AI) were not yet mature. However, through its …