This book comprehensively covers core algorithms and techniques used in artificial intelligence (AI) and machine learning (ML) for engineering applications.
Blockchain, a technology originally developed for cryptocurrency, has evolved into a versatile tool capable of driving significant change across industries and communities.
Classical FORTRAN: Programming for Engineering and Scientific Applications, Second Edition teaches how to write programs in the Classical dialect of FORTRAN, the original and still most widely recognized language for numerical computing.
Executives, engineering managers, project managers, engineers, and process improvement experts within engineering organizations need a resource that systematically translates the requirements of ISO 9001:2000 into a usable specification for engineers.
The ASQ Certified Software Quality Engineer Handbook, Third Edition contains information and guidance that supports all the topics within the 2023 version of the Certified Software Quality Engineer (CSQE) Body of Knowledge (BoK).
Combining knowledge with strategies, Data Structure Practice for Collegiate Programming Contests and Education presents the first comprehensive book on data structure in programming contests.
An emerging topic in software engineering and data mining, specification mining tackles software maintenance and reliability issues that cost economies billions of dollars each year.
Many professionals and students in engineering, science, business, and other application fields need to develop Windows-based and web-enabled information systems to store and use data for decision support, without help from professional programmers.
Over the last decade, software product line engineering (SPLE) has emerged as one of the most promising software development paradigms for increasing productivity in IT-related industries.
Even though the semantic Web is a relatively new and dynamic area of research, a whole suite of components, standards, and tools have already been developed around it.
A Functional Start to Computing with Python enables students to quickly learn computing without having to use loops, variables, and object abstractions at the start.
Empirical research has now become an essential component of software engineering yet software practitioners and researchers often lack an understanding of how the empirical procedures and practices are applied in the field.
Software engineering is playing an increasingly significant role in computing and informatics, necessitated by the complexities inherent in large-scale software development.
The conference brought together a diverse group of scholars, researchers, and industry professionals to engage in meaningful discussions and share insights on cutting-edge trends in artificial intelligence, machine learning, data science, and their multifaceted applications.
Maintaining a balance between a theoretical and practical approach to this important subject, Elements of Compiler Design serves as an introduction to compiler writing for undergraduate students.
Applicable to any problem that requires a finite number of solutions, finite state-based models (also called finite state machines or finite state automata) have found wide use in various areas of computer science and engineering.
Emphasizing the connection between mathematical objects and their practical C++ implementation, this book provides a comprehensive introduction to both the theory behind the objects and the C and C++ programming.
Throughout successive generations of information technology, the importance of the performance evaluation of software, computer architectures, and computer networks endures.
This book is discussing artificial intelligence-based smart systems for diagnosis and prediction of diseases, artificial intelligence in clinical decision-making, and artificial intelligence tools for clinical and healthcare data.
In the decade since the idea of adapting the evidence-based paradigm for software engineering was first proposed, it has become a major tool of empirical software engineering.
Rapid advancements in the application of soft computing tools and techniques have proven valuable in the development of highly scalable systems and resulted in brilliant applications, including those in biometric identification, interactive voice response systems, and data mining.
Maintaining compatibility among all affected network and application interfaces of modern enterprise systems can quickly become costly and overwhelming.
While there are sporadic journal articles on socio-technical networks, there's long been a need for an integrated resource that addresses concrete socio-technical network (STN) design issues from algorithmic and engineering perspectives.
This book is a concise, self-contained treatment of the finite element method and all the computational techniques needed for its efficient use and practical implementation.
Although the field of intelligent systems has grown rapidly in recent years, there has been a need for a book that supplies a timely and accessible understanding of this important technology.
