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Artificial Intelligence for Internet of Things (IoT) and Health Systems Operability: AI for IoT and Health Systems [Mīkstie vāki]

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  • Formāts: Paperback / softback, 191 pages, height x width: 235x155 mm, 90 Illustrations, color; 13 Illustrations, black and white; X, 191 p. 103 illus., 90 illus. in color., 1 Paperback / softback
  • Sērija : Engineering Cyber-Physical Systems and Critical Infrastructures 8
  • Izdošanas datums: 01-Feb-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031527895
  • ISBN-13: 9783031527890
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 198,63 €*
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  • Standarta cena: 233,69 €
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Artificial Intelligence for Internet of Things (IoT) and Health Systems Operability: AI for IoT and Health SystemsPalielināt
  • Formāts: Paperback / softback, 191 pages, height x width: 235x155 mm, 90 Illustrations, color; 13 Illustrations, black and white; X, 191 p. 103 illus., 90 illus. in color., 1 Paperback / softback
  • Sērija : Engineering Cyber-Physical Systems and Critical Infrastructures 8
  • Izdošanas datums: 01-Feb-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031527895
  • ISBN-13: 9783031527890
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031527890.html
Keywords:

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