Technological development is achievable only when a country has the ability to systematically design and introduce its own new technologies. In spite of the variety of studies regarding technology management, there is still a lack of studies concerning the principle concepts of technology management in the Middle Eastern/North African (MENA) region's firms. The generally low level of ICT diffusion in most of the region's countries widens the gap between MENA countries and the modern world. Private Sector Innovations and Technological Growth in the MENA Region provides innovative insights into investments made for the digital transformation of major cities in the region that have the potential to become a significant driver for economic development and job creation. Highlighting topics such as strategic planning, risk analysis, and customer loyalty, this publication is designed for policymakers, economists, academicians, researchers, business professionals, and students interested in the use of ICT integration for the advancement of the MENA region.

In the digital era, novel applications and techniques in the realm of computer science are increasing constantly. These innovations have led to new techniques and developments in the field of cybernetics. The Handbook of Research on Applied Cybernetics and Systems Science is an authoritative reference publication for the latest scholarly information on complex concepts of more adaptive and self-regulating systems. Featuring exhaustive coverage on a variety of topics such as infectious disease modeling, clinical imaging, and computational modeling, this publication is an ideal source for researchers and students in the field of computer science seeking emerging trends in computer science and computational mathematics.

This book is a general introduction to the statistical analysis of networks, and can serve both as a research monograph and as a textbook. Numerous fundamental tools and concepts needed for the analysis of networks are presented, such as network modeling, community detection, graph-based semi-supervised learning and sampling in networks. The description of these concepts is self-contained, with both theoretical justifications and applications provided for the presented algorithms.Researchers, including postgraduate students, working in the area of network science, complex network analysis, or social network analysis, will find up-to-date statistical methods relevant to their research tasks. This book can also serve as textbook material for courses related to thestatistical approach to the analysis of complex networks.In general, the chapters are fairly independent and self-supporting, and the book could be used for course composition "a la carte". Nevertheless, Chapter 2 is needed to a certain degree for all parts of the book. It is also recommended to read Chapter 4 before reading Chapters 5 and 6, but this is not absolutely necessary. Reading Chapter 3 can also be helpful before reading Chapters 5 and 7. As prerequisites for reading this book, a basic knowledge in probability, linear algebra and elementary notions of graph theory is advised. Appendices describing required notions from the above mentioned disciplines have been added to help readers gain further understanding.

The Dark Web is a known hub that hosts myriad illegal activities behind the veil of anonymity for its users. For years now, law enforcement has been struggling to track these illicit activities and put them to an end. However, the depth and anonymity of the Dark Web has made these efforts difficult, and as cyber criminals have more advanced technologies available to them, the struggle appears to only have the potential to worsen. Law enforcement and government organizations also have emerging technologies on their side, however. It is essential for these organizations to stay up to date on these emerging technologies, such as computational intelligence, in order to put a stop to the illicit activities and behaviors presented in the Dark Web. Using Computational Intelligence for the Dark Web and Illicit Behavior Detection presents the emerging technologies and applications of computational intelligence for the law enforcement of the Dark Web. It features analysis into cybercrime data, examples of the application of computational intelligence in the Dark Web, and provides future opportunities for growth in this field. Covering topics such as cyber threat detection, crime prediction, and keyword extraction, this premier reference source is an essential resource for government organizations, law enforcement agencies, non-profit organizations, politicians, computer scientists, researchers, students, and academicians.

The role of data fusion has been expanding in recent years through the incorporation of pervasive applications, where the physical infrastructure is coupled with information and communication technologies, such as wireless sensor networks for the internet of things (IoT), e-health and Industry 4.0. In this edited reference, the authors provide advanced tools for the design, analysis and implementation of inference algorithms in wireless sensor networks. The book is directed at the sensing, signal processing, and ICTs research communities. The contents will be of particular use to researchers (from academia and industry) and practitioners working in wireless sensor networks, IoT, E-health and Industry 4.0 applications who wish to understand the basics of inference problems. It will also be of interest to professionals, and graduate and PhD students who wish to understand the fundamental concepts of inference algorithms based on intelligent and energy-efficient protocols.

Recent advancements in technology have allowed for significant improvements to computer software design and development. By utilizing the latest available frameworks, developers can build more innovative applications. Developing Service-Oriented Applications using the Windows Communication Foundation (WCF) Framework is a pivotal source of research on the latest protocols and concepts for applying the Windows Communication Foundation (WCF) framework in the development of computer software applications. Highlighting pivotal perspectives on topics such as interoperability, programming methodologies, and security considerations, this book is ideally designed for professionals, researchers, graduate students, software developers, and practitioners interested in the optimization of service-oriented architectures.

The lead singer on Supercell's eponymous first album is Hatsune Miku-a Vocaloid character created by Crypton Future Media with voice synthesizers. A virtual superstar, over 100,000 songs, uploaded mostly by fans, are attributed to her. Supercell is a Japanese creator music group with the composer Ryo leading ten artists, who design album illustrations and make music videos. These videos are uploaded onto Niconico and other video-sharing sites. By the time Supercell was released in March 2009, the group's Vocaloid works were already well-known to Niconico users and fans. This book explores the Vocaloid and DTM (desktop music) phenomena through the lenses of media and fan studies, looking closely at online social media platforms, the new technology for composing, avid fans of the Vocaloid character, and these fans' performative practices. It provides a sense of how interactive new media and an empowered fan base combine to engage in the creation processes and enhance the circulation of DTM works. 33 1/3 Global, a series related to but independent from 33 1/3, takes the format of the original series of short, music-basedbooks and brings the focus to music throughout the world. With initial volumes focusing on Japanese and Brazilian music, the series will also include volumes on the popular music of Australia/Oceania, Europe, Africa, the Middle East, and more.