Every book in the Future Of ... collection contains a fun story, a field trip, and a focus on a famous person. In this book, Carlo experiences the breakdown of ICT around him. Through a school trip, he gets excited about the future of ICT, and writes a report on famous technopreneur, Steve Jobs. Come learn all about ICT with him, and be inspired!Discover, experiment and learn with the little scientists! Each little scientist has something new to teach readers. Through engaging narratives and full- colour illustrations, I'm a Little Scientist! introduces children to the exciting and ever-advancing world of science.Everyone can be a little scientist!

This volume contains revised and extended research articles written by prominent researchers participating in the ICF4C 2011 conference. 2011 International Conference on Future Communication, Computing, Control and Management (ICF4C 2011) has been held on December 16-17, 2011, Phuket, Thailand. Topics covered include intelligent computing, network management, wireless networks, telecommunication, power engineering, control engineering, Signal and Image Processing, Machine Learning, Control Systems and Applications, The book will offer the states of arts of tremendous advances in Computing, Communication, Control, and Management and also serve as an excellent reference work for researchers and graduate students working on Computing, Communication, Control, and Management Research.

Communication studies is a fragmented field. As a result of its roots in various disciplinary traditions, it is built on fluid intellectual boundaries with no theoretical or analytical center. Should we worry about this state of dispersion or be concerned that the discipline does not meet the basic conditions that define an academic field of inquiry? Silvio Waisbord argues that communication studies is a post-discipline and that it is impossible to transcend fragmentation and specialization through a single project of intellectual unity. What brings communication studies together is an institutional architecture of academic units, professional associations, and journals, rather than a shared commitment to a common body of knowledge, questions, and debates. This should not, Waisbord argues, be a matter of concern. Communication studies is better served by recognizing dispersion, embracing pluralism, fostering cross-cutting lines of inquiry, and tackling real-world problems, rather than hoping to meet conditions which would qualify it as a discipline. Communication: A Post-Discipline is important reading for scholars and advanced students of communication studies, as well as anyone interested in the state of this fascinating and vital academic field.

WINNER: American Book Fest Best Book Awards 2020 - Marketing and Advertising category WINNER: NYC Big Book Award 2020 - Business: Small Business and Entrepreneurship category WINNER: BookAuthority Best New Book to Read in 2020 - Social Media Marketing category FINALIST: Business Book Awards 2020 - International Business Book category Social networks are the new norm and traditional marketing is failing in today's digital, always-on culture. Businesses across the world are having to face up to how they remain relevant in the choppy waters of the digital ocean. In an era where a YouTube star gets more daily impressions than Nike, Coca-Cola and Walmart combined, traditional marketing as we know it is dead. The End of Marketing revolutionizes the way brands, agencies and marketers should approach marketing. From how Donald Trump won the American presidency using social media and why Kim Kardashian is one of the world's biggest online brands, through to the impact of bots and automation, this book will teach you about new features and emerging platforms that will engage customers and employees. Discover bold content ideas, hear from some of the world's largest brands and content creators and find out how to build smarter paid-strategies, guaranteed to help you dominate your markets. The End of Marketing explains that no matter how easy it is to reach potential customers, the key relationship between brand and consumer still needs the human touch. Learn how to put 'social' back into social media and claim brand relevancy in a world where algorithms dominate, organic reach is dwindling and consumers don't want to be sold to, they want to be engaged.

The idea for this book originated from a Special Session on Circuits and Systems for Future Generations of Wireless Communications that was presented at the 2005 InternationalSymposiumon Circuits and Systems, which was then followed by two Special Issues bearing the same title that appeared in the March and April 2008 issues of the IEEE Transactions on Circuits and Systems – Part II: Express Briefs. Out of a large number of great contributions, we have selected those tting best the book format based on their quality. We would like to thank all the authors, the reviewers of the Transactions on Circuits and Systems – Part II, and the reviewers of the nal book material for their efforts in creating this manuscript. We also thank the Springer Editorial Staff for their support in putting together all the good work. We hope that this book will provide you, the reader, with new insights into Circuits and Systems for Future Generations of Wireless Communications.

A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.