This book includes the outcomes of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2018), held in Tangier, Morocco on July 12–14, 2018. Presenting the latest research in the field of computing sciences and information technology, it discusses new challenges and provides valuable insights into the field, the goal being to stimulate debate, and to promote closer interaction and interdisciplinary collaboration between researchers and practitioners. Though chiefly intended for researchers and practitioners in advanced information technology management and networking, the book will also be of interest to those engaged in emerging fields such as data science and analytics, big data, internet of things, smart networked systems, artificial intelligence, expert systems and cloud computing.

This book covers a variety of topics in the field of mechanical engineering, with a special focus on methods and technologies for modeling, simulation, and design of mechanical systems. Based on a set of papers presented at the 2nd International Conference “Innovation in Engineering”, ICIE, held in Minho, Portugal, on June 28–30, 2022, it focuses on innovation in mechanical engineering, spanning from advanced materials and composites, optimization of manufacturing and production processes, and converging issues and technologies in additive manufacturing and industry 4.0. It covers applications in the transport and automotive, and medical and education sector, among others. This book, which belongs to a three-volume set, provides engineering researchers and professionals with extensive and timely information on new technologies and developments in the field of mechanical engineering and materials.

Over approximately the past 40 years, many developing countries invested in the establishment of agricultural market information systems or services (MIS). These systems or services were initially run by government agencies, but since the turn of the millennium private organizations have shown interest in providing data on a commercial basis. To date, however, these private services, while usually being more efficient than the government-run ones, have also largely depended on donor support for their continued operation. It has proved difficult to develop a profitable business model as many of the clients are small farmers and traders. Agricultural market information systems or services (MIS) can cover staples, horticultural crops, livestock, and export commodities. They are generally designed to collect, process, and disseminate or distribute data of relevance to farmers, traders and other buyers, such as processors, but the data they generate can also be used for a variety of purposes by governments, donors, international organizations and others.

This volume constitutes the proceedings of the 18th International Conference on Services Computing 2021, held as Part of SCF 2021 in December 2021 as a virtual event due to COVID-19. The 5 full papers and 2 short papers presented in this volume were carefully reviewed and selected from 21 submissions. It covers the science and technology of leveraging computing and information technology to model, create, operate, and manage business services.

This report looks at effective e-service provision by tax administrations, summarising eight critical areas, and explores big data management and portals, as well as natural systems. It highlights key opportunities, looking at how these emerging technologies can be best used by tax administrations.

There has been a multitude of studies focused on the COVID-19 pandemic across fields and disciplines as all sectors of life have had to adjust the way things are done and adapt to the constantly shifting environment. These studies are crucial as they provide support and perspectives on how things are changing and what needs to be done to stay afloat. Connecting COVID-19-related studies and big data analytics is crucial for the advancement of industrial applications and research areas. Applied Big Data Analytics and Its Role in COVID-19 Research introduces the most recent industrial applications and research topics on COVID-19 with big data analytics. Featuring coverage on a broad range of big data technologies such as data gathering, artificial intelligence, smart diagnostics, and mining mobility, this publication provides concrete examples and cases of usage of data-driven projects in COVID-19 research. This reference work is a vital resource for data scientists, technical managers, researchers, scholars, practitioners, academicians, instructors, and students.

The digital age has transformed business opportunities and strategies in a resolutely practical and data-driven project universe. This book is a comprehensive and analytical source on entrepreneurship and Big Data that prospective entrepreneurs must know before embarking upon an entrepreneurial journey in this present age of digital transformation. This book provides an overview of the various aspects of entrepreneurship, function, and contemporary forms. It covers a real-world understanding of how the entrepreneurial world works and the required new analytics thinking and computational skills. It also encompasses the essential elements needed when starting an entrepreneurial journey and offers inspirational case studies from key industry leaders. Ideal reading for aspiring entrepreneurs, Entrepreneurship and Big Data: The Digital Revolution is also useful to students, academicians, researchers, and practitioners.