This book addresses a broad range of topics from newly proposed techniques in Artificial
Intelligence (AI) and Machine Learning to various applications such as decision-making pattern
classification for data image and signals robotics and control systems. Big data
applications are discussed while improved methods and wholly new methods for using deep
learning technologies are also presented. The topics covered are comprehensive and reflect a
wide range of technologies in the area. In particular the latest methods in deep learning
approaches and applications are discussed in many parts of the book providing a better
understanding of these new technologies. The book's general scope includes the latest methods
in the areas of Artificial Intelligence and Machine Learning for use in distributed computing
as well as decision support systems. As the book covers a rather wide area its intended
readership ranges from those working in AI and machine learning technologies to those working
on applications utilizing these technologies researchers new to these areas who need
background information on the technologies and applications and more experienced researchers
looking for new methods and applications.
