Machine learning paradigm for internet of things applications / / Shalli Rani [and four others]

• Autore: Rani Shalli
• Pubblicazione: Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2022]; ©2022
• Descrizione fisica: 1 online resource (298 pages)
• Disciplina: 006.31
• Soggetto topico: Machine learning; Internet of things
• Sommario/riassunto: MACHINE LEARNING PARADIGM FOR INTERNET OF THINGS APPLICATIONS As companies globally realize the revolutionary potential of the IoT, they have started finding a number of obstacles they need to address to leverage it efficiently. Many businesses and industries use machine learning to exploit the IoT's potential and this book brings clarity to the issue. Machine learning (ML) is the key tool for fast processing and decision-making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. Machine learning has become a common subject to all people like engineers, doctors, pharmacy companies, and business people. The book addresses the problem and new algorithms, their accuracy, and their fitness ratio for existing real-time problems. Machine Learning Paradigm for Internet of Thing Applications provides the state-of-the-art applications of machine learning in an IoT environment. The most common use cases for machine learning and IoT data are predictive maintenance, followed by analyzing CCTV surveillance, smart home applications, smart-healthcare, in-store 'contextualized marketing', and intelligent transportation systems. Readers will gain an insight into the integration of machine learning with IoT in these various application domains.
• Titolo autorizzato: Machine learning paradigm for internet of things applications
• ISBN: 1-119-76349-5; 1-119-76347-9; 1-119-76348-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910830260403321
• Lo trovi qui: Univ. Federico II