Search

Search Results

Results 2021-2030 of 2058 (Search time: 0.139 seconds).
Item hits:
  • Sách/Book


  • Authors: Rudd, Jill E (2023)

  • Negotiation Preparation in a Global World guides the reader through a series of issues to consider in building international and intercultural business negotiation skills. It takes the approach of examining failed business negotiations to analyze how improved communication might have led to successful outcomes. Each chapter presents theoretical background related to a communication failure and explores alternative strategies to the situation. This volume is ideal for undergraduate- and graduate-level students studying business, leadership, and organizational development, as well as those new to the global marketplace or interested in learning how to negotiate in the intercultural business arena"--

  • Sách/Book


  • Authors: Stinsok Ocvirk; Bone Wigg (2006)

  • Bố cục. đường nét. hình dạng. sắc độ. cấu trúc cơ bản. mầu sắc. không gian. nghệ thuật của chiều thứ ba. nội dung và phong cách.

  • Sách/Book


  • Authors: Warren, Carl S (2019)

  • This leading book's business examples provide a meaningful context as they demonstrate how each chapter�s content fits into the big picture. The authors clearly connect fundamental accounting concepts to real businesses today. For example, each chapter begins with a real-world company opener that is linked to applicable content throughout the chapter.

  • Sách/Book


  • Authors: Yuan, Chunhui (2023)

  • This proceedings book, together with the conference, looks forward to spark inspirations and promote collaborations. International Conference on Economic Management and Green Development (ICEMGD) is an annual conference aiming at bringing together researchers from the fields of economics, business management, public administration, and green development for the sharing of research methods and theoretical breakthroughs. The proceedings consist of papers accepted by the 6th ICEMGD, which are carefully selected and reviewed by professional reviewers from corresponding research fields and the editing committee of the conference.

  • Sách/Book


  • Authors: Philipp Grohs (2023)

  • This book presents the current mathematical understanding of deep learning methods from the point of view of the leading experts in the field. It serves both as a starting point for researchers and graduate students in computer science, mathematics, and statistics trying to get into the field and as an invaluable reference for future research

  • Sách/Book


  • Authors: Danda B. Rawat (2023)

  • This book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services. The 17 chapters of the book masterfully and comprehensively cover the intertwining concepts of artificial intelligence, cloud computing, and big data, all of which have recently emerged as the next-generation paradigms.

  • Sách/Book


  • Authors: Jyotismita Chaki (2023)

  • This book examines deep learning-based approaches in the field of cancer diagnostics, as well as pre-processing techniques which are essential to cancer diagnostics. Topics include: introduction to current applications of deep learning in cancer diagnostics; pre-processing of cancer data using deep learning; review of deep learning techniques in oncology; overview of advanced deep learning techniques in cancer diagnostics; prediction of cancer susceptibility using deep learning techniques; prediction of cancer reoccurrence using deep learning techniques; deep learning techniques to predict the grading of human cancer; different human cancer detection using deep learning techniques; prediction of cancer survival using deep learning techniques; complexity in the use of deep learning i...

  • Sách/Book


  • Authors: Thomas H. Davenport (2023)

  • If you're curious about the next phase in the implementation of artificial intelligence within companies, or if you're looking to adopt this powerful technology in a more robust way yourself, All-In on AI will give you a rare inside look at what the leading adopters are doing, while providing you with the tools to put AI at the core of everything you do.