Conventional air conditioning is not a sustainable solution to the challenge of a hot or humid climate. The climate problem is compounded in so-called Urban Heat Islands, urban areas where the air can be 3-5C hotter than its surrounding areas and where pollution levels are consequently raised.
Including a colour section with thermal images and maps, this book explores the complex relationships between climate, buildings and plants, especially in urban heat islands. These relationships bear very critically on a range of environmental issues and point to some corresponding...
Conventional air conditioning is not a sustainable solution to the challenge of a hot or humid climate. The climate problem is compounded in so-cal...
Solid propellant is the most important energy source for rocket, missile and other weapons to launch, and is the key material to realize the firing range and damage effect of weapons. In order to meet the requirements of weapon application, the overall requirements for the energy performance, combustion performance, mechanical performance, storage performance, safety performance and process performance of solid propellant are put forward. Therefore, there are many challenges to fully meet the requirements of solid propellant and apply it to weapons. In recent years, with the development of...
Solid propellant is the most important energy source for rocket, missile and other weapons to launch, and is the key material to realize the firing ra...
Deep learning has become the dominant approach in addressing various tasks in Natural Language Processing (NLP). Although text inputs are typically represented as a sequence of tokens, there is a rich variety of NLP problems that can be best expressed with a graph structure. As a result, there is a surge of interest in developing new deep learning techniques on graphs for a large number of NLP tasks. In this monograph, the authors present a comprehensive overview on Graph Neural Networks (GNNs) for Natural Language Processing. They propose a new taxonomy of GNNs for NLP, which...
Deep learning has become the dominant approach in addressing various tasks in Natural Language Processing (NLP). Although text inputs are typically re...