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Herausgeber: 
  • Gupta Shweta
  • Cognitive Predictive Maintenance Tools for Brain Diseases: Design and Analysis 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juli 2026  
    Genre:  EDV / Informatik 
     
    Artificial Intelligence / Artificial Intelligence (AI) / artificial intelligence healthcare / Automatic control engineering / Biomedical engineering / Biomedical engineering / Medical engineering / Biomedical Signal Processing / COMPUTERS / Data Science / Data Analytics
    ISBN:  9781032156873 
    EAN-Code: 
    9781032156873 
    Verlag:  Taylor and Francis 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 254 mm / B 178 mm / D  
    Gewicht:  360 gr 
    Seiten:  188 
    Illustration:  schwarz-weiss Illustrationen, Raster,schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    This book involves the design, analysis, and application of various cognitive predictive maintenance tests with the help of tools like vibration analysis, ultrasonic analysis, infrared analysis, oil analysis, laser-shaft alignment, and motor circuit analysis in the prediction of various cognitive diseases such as epilepsy, Parkinson's disease, Alzheimer's disease, and depression. These are needed since there are no proper medical tests available to predict these diseases in remote areas at an early stage. Various emerging technologies are analyzed for the design of tests.

    Key features:

    • Incorporates innovative processes for treating cognitive diseases.
    • Early and exact identification and treatment strategies are incorporated.
    • Future technologies like artificial intelligence, machine learning, the IoT, and data science are used to find solutions.
    • Analysis with existing cognitive disease solutions is incorporated and simulations provided.
    • The novelty of the book lies in the accurate prediction of cognitive diseases.

    Encompassing future technologies and various communication protocols or devices available for cognitive diseases for the design of new equipment are an outcome of the book. Various parameters like power consumption, productivity, and safety should be taken into account during the analysis, design, and application of a product. The book could well be added to the curriculum of medical colleges and biomedical engineering students. Possible vendors include biomedical research centers like Biotechnika and the Indian Council of Medical Research (ICMR). It would be a breakthrough for biomedical companies to launch their new products.

      



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