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  • Sách/Book

  • The Power of Data: Driving Climate Change with Data Science and Artificial Intelligence Innovations

    • Authors: Aboul Ella Hassanien (2023)

  • This book discusses the advances of artificial intelligence and data sciences in climate change and provides the power of the climate data that is used as inputs to artificial intelligence systems. It is a good resource for researchers and professionals who work in the field of data sciences, artificial intelligence, and climate change applications.
  • Sách/Book

  • Recent Advances in Data and Algorithms for e-Government

    • Authors: Christophe Gaie (2023)

  • This book presents new trends to optimize e-Government in various contexts. It aims to highlight new methods and approaches that unveil the potential of data for public services. The book also illustrates how public services can be mathematically modeled with many case studies. Then, algorithms are proposed to optimize their functioning and to better contribute to the general interest, such as education, health care, safety, security, or culture. The book also focuses on protecting citizens' personal data and obtaining their explicit consent.
  • Sách/Book

  • Artificial Intelligence in Medical Virology

    • Authors: Jyotir Moy Chatterjee (2023)

  • This book comprehensively reviews the potential of Artificial Intelligence (AI) in biomedical research and healthcare, with a major emphasis on virology. The initial chapter presents the applications of machine learning methods for structured data, such as the classical support vector machine and neural network, modern deep learning, and natural language processing for unstructured data in biomedical research and healthcare.
  • Sách/Book

  • Artificial Intelligence for Business Analytics: Algorithms, Platforms and Application Scenarios

    • Authors: Felix Weber (2023)

  • This book provides a concise introduction to the essential aspects of using artificial intelligence methods for business analytics, presents machine learning and the most important algorithms in a comprehensible form using the business analytics technology framework, and shows application scenarios from various industries. In addition, it provides the Business Analytics Model for Artificial Intelligence, a reference procedure model for structuring BA and AI projects in the company.
  • Sách/Book

  • A robotic framework for the mobile manipulator : theory and application

    • Authors: Nguyen Van Toan (2023)

  • This book helps readers visualize an end-to-end workflow for making a robot system work in a targeted environment. It is considered as a bridge from theories to real products, in which robotic software modules and the robotic system integration are mainly concerned
  • Sách/Book

  • AI Factory

    • Authors: Ramin Karim (2023)

  • This book provides insights into how to approach and utilise data science tools, technologies, and methodologies related to artificial intelligence (AI) in industrial contexts. It explains the essence of distributed computing and AI technologies and their interconnections. It includes descriptions of various technology and methodology approaches and their purpose and benefits when developing AI solutions in industrial contexts. In addition, this book summarises experiences from AI technology deployment projects from several industrial sectors.
  • Sách/Book

  • Artificial Intelligence-based smart power systems

    • Authors: Sanjeevikumar Padmanaban (2023)

  • "In the modern world, power distribution systems, microgrids, and electric vehicles have become absolute necessities due to various reasons. Smart power systems require more sophistication in operation and control. To achieve that sophistication, most of the loads in smart power systems are power electronics-based. However, this produces power quality problems like harmonics, flicker, etc. Power quality conditioners are essential to enhance the power quality in smart power systems. Hardware-in-the-loop (HIL)-based simulation is used to model smart power systems"
  • Sách/Book

  • Artificial Intelligence and Cybersecurity: Theory and Applications

    • Authors: Tuomo Sipola (2023)

  • This book discusses artificial intelligence (AI) and cybersecurity from multiple points of view. The diverse chapters reveal modern trends and challenges related to the use of artificial intelligence when considering privacy, cyber-attacks and defense as well as applications from malware detection to radio signal intelligence.
  • Sách/Book

  • Advancements in artificial intelligence, blockchain technology, and IoT in higher education : mitigating the impact of Covid-19

    • Authors: Subhendu Kumar Pani (2023)

  • This new volume focuses on the application of artificial intelligence, blockchain technology, and the Internet of Things to meet the new challenges faced by higher education due to the Covid-19 pandemic, which necessitated restrictions to gathered groups of students and others and increased the need for alternative means of teaching, learning, and communication. With a need to find alternatives to the traditional face-to-face teaching and learning during the pandemic, the authors of Advancements in Artificial Intelligence, Blockchain Technology and IoT in Higher Education: Mitigating the Impact of Covid-19 discuss the best use of technologies in many areas of study in higher education. The book addresses the growing role of AI in the digital transformation in higher education system...
  • Sách/Book

  • AI and IoT-based Intelligent Health Care & Sanitation

    • Authors: Shashank Awasthi (2023)

  • The book aims to provide a deeper understanding of the synergistic impact of Artificial intelligence (AI) and the Internet of Things (IoT) for disease detection. It presents a collection of topics designed to explain methods to detect different diseases in humans and plants. Chapters are edited by experts in IT and machine learning, and are structured to make the volume accessible to a wide range of readers.