Muutke küpsiste eelistusi

E-raamat: Artificial Intelligence for Internet of Things (IoT) and Health Systems Operability: AI for IoT and Health Systems

Edited by , Edited by
Teised raamatud teemal:
  • Formaat - EPUB+DRM
  • Hind: 221,68 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
Artificial Intelligence for Internet of Things (IoT) and Health Systems Operability: AI for IoT and Health SystemsSuurem pilt
Teised raamatud teemal:

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

IoTHIC-2023 is a multidisciplinary, peer-reviewed international conference on Internet of Things (IoT) and healthcare systems with Artificial Intelligence (AI) techniques such as data mining, machine learning, image processing, and meta-heuristic algorithms. The AI-based techniques are applied on many fields of healthcare systems, including predicting and detecting diseases in hospitals, clinics, smart health monitoring systems, surgery, medical services, and etc.  

Drug-Drug Interaction, Interaction Type And Resulting Severity
Forecasting By Machine Learning-Based Approaches.- Hybrid Network Protocol
Information Collection and Dissemination in IoT Healthcare.- CNN-Based Model
for Skin Diseases Classification.- Using explainable artificial intelligence
and knowledge graph to explain sentiment analysis of COVID-19 post on the
Twitter.- An IoT-based Telemedicine System for the Rural People of
Bangladesh.- Comparison of Predicting Regional Mortalities Using Machine
Learning Models.- Benign and Malignant Cancer Prediction using Deep Learning
and Generating Pathologist Diagnostic Report.- An Integrated Deep Learning
Approach for Computer-Aided Diagnosis of Diverse Diabetic Retinopathy
Grading.- Covid-19 Detection based on Chest X-ray images us-ing Attention
Mechanism Modules and Weight Uncertainty in Bayesian Neural Networks.- A
Stochastic Gradient Support Vector Optimization Algorithm for Predicting
ChronicKidney Diseases.- Intelligent Information Systems in Healthcare
sector: Review Study.- Design of a Blockchain-based Patient Record Tracking
System.- IoT Networks and Online Image Processing in IMU-based Gait
Analysis.- Reducing Patient Waiting Time in Ultrasonography Using Simulation
and IoT Application
Lisainfo e-raamatute kohta Lisainfo e-raamatute kohta
Püsilink: https://www.kriso.ee/db/97830315278766e.html