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| Author | : IEEE Staff |
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| Total Pages | : 0 |
| Release | : 2023-07-05 |
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The 26th IEEE ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel Distributed Computing (SNPD2022) brings together researchers, scientists, engineers, industry practitioners, and students to discuss, encourage and exchange new ideas, research results, and experiences on all aspects of computer and information science SNPD2022 aims to facilitate cross fertilizations among the key technology enabling areas
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| ISBN | : 9781665418430 |
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| Total Pages | : 294 |
| Release | : 2021 |
| Genre | : Artificial intelligence |
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| Author | : Shahram Latifi |
| Publisher | : Springer Nature |
| Total Pages | : 513 |
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| ISBN | : 3031565991 |
| Author | : Sarika Jain |
| Publisher | : Springer Nature |
| Total Pages | : 330 |
| Release | : 2023-03-31 |
| Genre | : Computers |
| ISBN | : 9811971269 |
This book constitutes refereed proceedings of the 2nd International Semantic Intelligence Conference (ISIC 2022). This book covers a wide range of topics, including semantic web engineering, ontology-based data access, multimodal and multilingual access, machine-to-machine communications and interoperability, knowledge extraction and ontology learning from the web, computational paradigms and computational intelligence, distributed and mobile systems, and many others. This book includes novel contributions and the latest developments from researchers across industry and academia. This book serves as a valuable reference resource for academics and researchers across the globe.
| Author | : Milan Tuba |
| Publisher | : Springer Nature |
| Total Pages | : 620 |
| Release | : 2023-09-25 |
| Genre | : Technology & Engineering |
| ISBN | : 9819949327 |
This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 8th International Conference on ICT for Sustainable Development (ICT4SD 2023), held in Goa, India, on August 3–4, 2023. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.
| Author | : Rim El Khoury |
| Publisher | : Springer Nature |
| Total Pages | : 868 |
| Release | : 2023-10-28 |
| Genre | : Business & Economics |
| ISBN | : 9819961017 |
This book explores diverse dimensions of innovation in business and finance from a micro as well as macro perspective through various case studies and analyses of trends. The previous decade is known as the era of digital transformation and innovation. The rise of new technologies is having an impact on the global trends and leading to innovation in business and finance. In this competitive market, businesses and financial institutions must be responsive to the trends in order to survive and thrive, governments must cope with the complex and uncertain environments by being smart, transforming service delivery, and implementing smart governance practices, and entrepreneurs and investors are faced with alternative sources of finance and investment. However, keeping up with these trends and innovations is fraught with its own set of challenges. Thus, it is important to analyze new and emerging technologies and innovations through a myriad of disciplinary lenses. This book not only expands conceptual understanding of digital transformation and innovation by presenting strong empirical evidence, but also by adding to the vigorous worldwide policy discussion on how to assist businesses in the digital transition. The book will be useful to scholars and researchers of business management, financial management, business economics, international business, human resources, and marketing. It will also be of interest to entrepreneurs, policymakers, academicians, and practitioners in the field.
| Author | : Muneer Al Mubarak |
| Publisher | : Springer Nature |
| Total Pages | : 516 |
| Release | : 2023-08-14 |
| Genre | : Technology & Engineering |
| ISBN | : 3031355253 |
This book discusses advanced technological solutions in Industry 5.0 that can be used for business competitive advantage and sustainability. The book presents tools that can help reduce time and make use of data in an efficient way while using resources efficiently and sustainably. The book aims to highlight technological sustainability through promoting innovations, improving social development, and providing green products that benefit the society. The authors discuss the recent technological advancements such as Artificial Intelligence (AI), Internet of Things (IoT), Financial Technology (FinTech), Big Data, and Blockchain. They also discuss the benefits of incorporating such technologies in areas such as green supply chain, storage technology, Internet banking, and nanotechnology. The target audience of this book includes all interested individuals and institutions in the fields of engineering, business, technology, and public services. The book provides insights and solutions to many issues and creates opportunities for further sustainability.
| Author | : Wang, John |
| Publisher | : IGI Global |
| Total Pages | : 3296 |
| Release | : 2023-01-20 |
| Genre | : Computers |
| ISBN | : 1799892212 |
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.
