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  • Authors: Thomas P. Trappenberg (2023)

  • This new edition of Fundamentals of Computational Neuroscience builds on the success and strenghts of the first two editions, while also streamlining the content to be more accessible and concise for the reader. The book includes new material based on recent success in AI (deep learning), predictive coding, and a new chapter on enhanced reinforcement learning. Another new feature is the switch from Matlab to Python, a free and more established programming environment that can be used to explore many of the mechanisms explained in the book.

  • Sách/Book


  • Authors: Tae Hong Park (2010)

  • This book offers an introduction to digital signal processing (DSP) with an emphasis on audio signals and computer music ... This book is designed for both technically and musically inclined readers alike--folks with a common goal of exploring digital signal processing

  • Sách/Book


  • Authors: Joan Lambert (2023)

  • This is learning made easy. Get more done quickly with Microsoft Word. Jump in wherever you need answers brisk lessons and detailed screenshots show you exactly what to do, step by step. Create great-looking, well-organized, accessible documents to enhance communication Use headings, bookmarks, and footnotes for more intuitive access to knowledge Present complex information in diagrams and charts Illustrate concepts by using professional stock images, 3D models, icons, and screen clippings

  • Sách/Book


  • Authors: Karen Kilyroy (2023)

  • Remove your doubts about AI and explore how this technology can be future-proofed using blockchain's smart contracts and tamper-evident ledgers. With this practical book, system architects, software engineers, and systems solution specialists will learn how enterprise blockchain provides permanent provenance of AI, removes the mystery, and allows you to validate AI before it's ever used. Authors Karen Kilroy, Lynn Riley, and Deepak Bhatta explain that AI's ability to change itself through program synthesis could take the technology beyond human control. With this book, you'll learn an efficient way to solve this problem by building simple blockchain controls for verifying, tracking, tracing, auditing, and even reversing AI. Blockchain tethered AI interweaves the MLOps process with b...

  • Sách/Book


  • Authors: Haoran Zhang (2023)

  • The book introduces how to design MDM platforms that adapt to the evolving mobility environment—and new types of transportation and users—based on an integrated solution that utilizes sensing and communication capabilities to tackle significant challenges faced by the MDM field.

  • Sách/Book


  • Authors: Ali R. Hurson (2023)

  • The 130th volume is an eclectic volume inspired by recent issues of interest in research and development in computer science and computer engineering. The volume is a collection of five chapters.Autonomous Vehicle Cybersecurity Multicore architecture Cloud-based multimedia system

  • Sách/Book


  • Authors: Hu, Zhengbing (2023)

  • The topics discussed in the book include state-of-the-art papers in artificial intelligence and logistics engineering. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in artificial intelligence and its applications in logistics engineering

  • Sách/Book


  • Authors: Robert Boylestad (2023)

  • Boylestad presents complex subject matter clearly and with an eye on practical applications. He provides detailed guidance in using the TI 89 Titanium calculator, the choice for this text, to perform all the required math techniques. Challenging chapter-ending review questions help learners build confidence and comprehension. Updated with the most current, relevant conte