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Results 731-740 of 781 (Search time: 0.078 seconds).
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  • Sách/Book

  • Biomedical Signal and Image Processing with Artificial Intelligence

    • Authors: Chirag Paunwala (2023)

  • This book focuses on advanced techniques used for feature extraction, analysis, recognition, and classification in the area of biomedical signal and image processing. Contributions cover all aspects of artificial intelligence, machine learning, and deep learning in the field of biomedical signal and image processing using novel and unexplored techniques and methodologies.
  • 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.