Artificial Intelligence of Health-Enabled Spaces
portes grátis
Artificial Intelligence of Health-Enabled Spaces
Al-Turjman, Fadi
Taylor & Francis Ltd
12/2024
192
Mole
9781032345819
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
About the Editor. List of Contributors. Chapter 1 IoT and Machine Learning-Based Smart Healthcare System for Monitoring Patients. Chapter 2 Detection and Diagnosis of COVID- 19 from Chest X-Ray Images Using Deep Learning. Chapter 3 Analysing the Stages of Diabetic Retinopathy Using Deep Learning Techniques. Chapter 4 COVID-19 Detection Based on Deep Learning Feature Extraction and AdaBoost Ensemble Classifier. Chapter 5 Deep Learning and Transfer Learning Models for Detection of COVID-19. Chapter 6 Industry 4.0 Challenges and Applications in the Healthcare Industry with Emerging Technologies. Chapter 7 Cyber-Security Countermeasures and Vulnerabilities to Prevent Social-Engineering Attacks. Chapter 8 Development of a COVID-19 Tracking System. Chapter 9 An Overview of Autonomous Perception for a Robotic Arm. Chapter 10 Artificial Intelligence-Based Methods for SARS-CoV-2 Detection with CRISPR Systems. INDEX.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
AIoH;Artificial Intelligence of Health-Enabled Spaces;Artificial Intelligence (AI);IoT and Machine Learning;smart healthcare system;COVID-19;deep learning;SARS-CoV-2 detection;CRISPR Array;CRISPR Type;MERS;Softmax Classifier;Multi-class Classification;crRNA Processing;CRISPR Technology;Chest X-ray Images;Deep Learning Model;CT Scan Image;Rt PCR Testing;MaxPool Layers;RF Classifier;Pre-trained Model;Dl Model;CRISPR System;Rt PCR;LUS;DR;Cps;CRISPR RNA;Pose Estimation;Analyse CT Image;Ann Architecture;AdaBoost
About the Editor. List of Contributors. Chapter 1 IoT and Machine Learning-Based Smart Healthcare System for Monitoring Patients. Chapter 2 Detection and Diagnosis of COVID- 19 from Chest X-Ray Images Using Deep Learning. Chapter 3 Analysing the Stages of Diabetic Retinopathy Using Deep Learning Techniques. Chapter 4 COVID-19 Detection Based on Deep Learning Feature Extraction and AdaBoost Ensemble Classifier. Chapter 5 Deep Learning and Transfer Learning Models for Detection of COVID-19. Chapter 6 Industry 4.0 Challenges and Applications in the Healthcare Industry with Emerging Technologies. Chapter 7 Cyber-Security Countermeasures and Vulnerabilities to Prevent Social-Engineering Attacks. Chapter 8 Development of a COVID-19 Tracking System. Chapter 9 An Overview of Autonomous Perception for a Robotic Arm. Chapter 10 Artificial Intelligence-Based Methods for SARS-CoV-2 Detection with CRISPR Systems. INDEX.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
AIoH;Artificial Intelligence of Health-Enabled Spaces;Artificial Intelligence (AI);IoT and Machine Learning;smart healthcare system;COVID-19;deep learning;SARS-CoV-2 detection;CRISPR Array;CRISPR Type;MERS;Softmax Classifier;Multi-class Classification;crRNA Processing;CRISPR Technology;Chest X-ray Images;Deep Learning Model;CT Scan Image;Rt PCR Testing;MaxPool Layers;RF Classifier;Pre-trained Model;Dl Model;CRISPR System;Rt PCR;LUS;DR;Cps;CRISPR RNA;Pose Estimation;Analyse CT Image;Ann Architecture;AdaBoost
