New Machine Learning Methods for the Sustainable Development Goals

This book is a collection of new artificial intelligence (AI) methods, including new regression, machine learning, deep learning, hybrid, and ensemble models, published in recent years. The algorithms and structures of these methods are clearly explained so that readers can use them in their studies and projects. In addition, by presenting several examples of models, the strengths and weaknesses of each model are explained to help readers select the best model for each kind of dataset. Therefore, readers can purposefully and usefully select the appropriate models among all models. As a result, the first advantage of this book in comparison to other books is its presentation of new AI models in detail, comparing them their capabilities and features, and an overview of some criteria to select the appropriate model for the various datasets. Moreover, this book provides the required information on sustainable development, which students need to know, as well as advanced information and details for using new AI approaches for sustainable development goals.

To improve the criteria in the sustainable development, managing the current and future situation is one the important factors to improve sustainability, which function needs the prediction approaches for future; for example, for environmental indicators, like the management of air pollution, climate change, waste, and energy consumption. Als, the sustainability has other variables, such as social, technical, and economic indicators that to management of these indicators, the new AI can efficiently be used. Furthermore, the new AI can increase the number of models and estimate more indicators in multi-criteria decision analysis; therefore, the accuracy of this type of analyses to have a sustainable production and development can improve regarding an increase in the number of options and indicators, which the cost and time of analyses will be decreased using the AI methods. Briefly, this book provides many new stronger AI approaches for the various studies in sustainable development that are very interesting for the researchers and students.