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Herausgeber: 
  • John Wang
  • Rajeev Kumar Gupta
  • Arti Jain
  • Reshaping Environmental Science Through Machine Learning and IoT 
     

    (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:  Mai 2024  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Air pollution / anomaly detection / Artificial Intelligence / Biodiversity Conservation / Climate Change / Climate Trend Prediction / Disaster management / Early Warning Systems
    ISBN:  9798369323519 
    EAN-Code: 
    9798369323519 
    Verlag:  IGI Global 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 286 mm / B 221 mm / D 30 mm 
    Gewicht:  1427 gr 
    Seiten:  468 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    In the face of escalating environmental challenges such as climate change, air and water pollution, and natural disasters, traditional approaches to understanding and addressing these issues have yet to be proven sufficient. Academic scholars are compelled to seek innovative solutions that marry digital intelligence and natural ecosystems. Reshaping Environmental Science Through Machine Learning and IoT serves as a comprehensive exploration into the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) to address critical environmental challenges. The book establishes a robust foundation in ML and IoT, explaining their relevance to environmental science. As the narrative unfolds, it delves into diverse applications, providing theoretical insights alongside practical knowledge. From interpreting weather patterns to predicting air and water quality, the book navigates through the intricate web of environmental complexities. Notably, it unveils approaches to disaster management, waste sorting, and climate change monitoring, showcasing the symbiotic relationship between digital intelligence and natural ecosystems. This book is ideal for audiences from students and researchers to data scientists and disaster management professionals with a nuanced understanding of IoT, ML, and Artificial Intelligence (AI).

      



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