Constant improvements in technological applications have allowed for more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but also ensures that technological progression will continue. Ubiquitous Machine Learning and its Applications is a pivotal reference source for the latest research on the issues and challenges machines face in the new millennium. Featuring extensive coverage on relevant areas such as computational advertising, software engineering, and bioinformatics, this publication is an ideal resource for academicians, graduate students, engineering professionals, and researchers interested in discovering how they can apply these advancements to various disciplines.

This monograph focuses on a case study of a newly constructed passive cooled four-story building in a composite (monsoon) climate. The total initial embodied energy, CO2 emissions, annual energy saving and CO2 credit of the building were evaluated as part of the case study.