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Artificial Intelligence for Internet of Things (IoT) and Health Systems Operability: AI for IoT and Health Systems de Alireza Souri

Artificial Intelligence for Internet of Things (IoT) and Health Systems Operability: AI for IoT and Health Systems: Engineering Cyber-Physical Systems and Critical Infrastructures, cartea 8

Editat de Alireza Souri, Salaheddine Bendak
en Limba Engleză Hardback – feb 2024
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.  
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Specificații

ISBN-13: 9783031527869
ISBN-10: 3031527860
Pagini: 191
Ilustrații: X, 191 p. 103 illus., 90 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.46 kg
Ediția:1st ed. 2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Engineering Cyber-Physical Systems and Critical Infrastructures

Locul publicării:Cham, Switzerland

Cuprins

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

Textul de pe ultima copertă

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.  

Caracteristici

Proceedings of the 2nd International Conference on IoT and Health Presents recent research on Artificial Intelligence for Internet of Things and Health Systems Operability Written by experts in the field