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Herausgeber: 
  • Martin Margala
  • Chinmay Chakraborty
  • Manisha Guduri
  • Combining Visual Intelligence and Federated Learning in Smart Healthcare 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  August 2025  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Artificial Intelligence / Cognitive Computing / Federate Learning / healthcare systems / Internet of things / machine learning / Medical technology / Mental Health
    ISBN:  9798369360941 
    EAN-Code: 
    9798369360941 
    Verlag:  IGI Global 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 260 mm / B 183 mm / D 25 mm 
    Gewicht:  908 gr 
    Seiten:  380 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Smart devices in healthcare can interact with the environment by gathering, processing, interpreting, storing, and retrieving information originated from sensors, neuromorphic analog circuits, robots, and other data retrieving sources through explainable AI, Internet of Things, gestural technology, and federated learning. These systems can utilize visual languages to improve communication with people in real-life scenarios, such as intelligent devices which recognize patterns. Such languages, combined with intelligent, experience-based, healthcare systems, fall in the area of visual intelligence, empowering people to understand how machines process the data smart healthcare devices. The combination of smart healthcare and visual intelligence with federated learning may give rise to new applications in fields as diverse as healthcare, education, marketing, gaming, and automation. Combining Visual Intelligence and Federated Learning in Smart Healthcare explores research areas that connect visual information processing with intelligence, federated learning, and the Internet of Things, promoting their integration and exciting new developments. It examines theories, practices, and experiences in the field of smart healthcare for visual intelligence with federated learning. This book covers topics such as artificial intelligence, predictive analytics, and smart technology, and is a useful resource for medical professionals, business owners, healthcare workers, computer engineers, data scientists, academicians, and researchers.

      



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