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This book reviews GPP LTE physical layer and dataflow-based prototyping and programming, focusing on automatic partitioning and scheduling, load balancing and computation latency reduction in systems based on heterogeneous multi-core Digital Signal Processors.
Environmental Informatics is a fast growing field which deals with all... Læs mere
The text discusses the fundamentals, frameworks, and practical applications of cognitive and smart computing in diverse areas such... Læs mere
Ideal for engineers, researchers, and technology leaders, this book provides both inspiration and actionable... Læs mere
Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives.
Discrete Mathematics for Data Science provides an early course in both Data Science and Discrete Mathematics, focusing on how a deeper understanding of the former can unlock a more effective implementation of the latter.
CS Why is a book that presents a straightforward, curiosity-based approach to filling in the blanks around common,... Læs mere
This book is designed for data scientists and machine learning engineers who are keen to dive deep into the complexities of deep learning.
Legal Risks in the Software Development Lifecycle addresses the growing complexity of software development as both a technical and legal discipline. It... Læs mere
This book reflects the comprehensive exploration of the intersection between fuzzy decision-making and soft computing. It delves... Læs mere
Instead, PA uses a minimalist UML-based design approach (Agile/ICONIX) that starts out with a domain model to facilitate communication across the development team, and partitions the system along use case boundaries, which enables parallel development.