"We have access to a variety of cutting-edge technologies, thanks to the digital world, which has made life simpler and more intelligent. As a result, in the advancement of the Internet, no one is unreachable and we can now easily share ideas for new innovations and collaborate with people across great distances. The amount of data on the internet is exploding as a result of the extensive research being conducted to advance new technologies. Due to this massive data collection, there is also an increase in the risk of sensitive information being leaked. Therefore, it is necessary to look for methods and equipment to collect, manage, analyse, and store data in a secure manner. Cloud computing, deep learning, machine learning, and big data analysis are the topics of computational intelligence that offer methods for dealing with large amounts of unstructured data, while cyber security and cryptography are the topics, we study to find ways to secure data. In practical situations the data we collect are vague and ambiguous as it depends upon human reasoning. Fuzzy logic-based systems play an important role in making decisions in uncertain environments because their reasoning is similar to human reasoning. This book covers the novel researches based on various computational intelligence topics including deep learning, artificial intelligence, machine learning, neural network, healthcare, solutions of various problems using fuzzy systems and their applications in cryptography, assignment problems, transportation problems, cloud computing, etc. The goal of writing the book is to promote advances in the field of computational intelligence systems and to aid in the dissemination of results concerning recent applications in the areas of computational intelligence system-based applications, its allied branches like artificial intelligence, deep learning, cloud computing, fuzzy system, etc. among working professionals, researchers, and educators. The book will be useful for Data Scientists, web developers, cryptographers, medical researchers, engineers, researchers, and graduate level students in computer science, data science, operations research, and mathematics. It provides novel applications as well as new theoretical developments required to understand current computational intelligence topics such as deep learning, machine learning, fuzzy based systems, and various other relevant fields. Graduate and postgraduate Computer Science, Engineering, Information Technology and Mathematics students, as well as teachers, can use it as a reference book because they can find applications that can be used to clarify specific concepts"--