Intelligent Computing Applications for COVID-19
portes grátis
Intelligent Computing Applications for COVID-19
Predictions, Diagnosis, and Prevention
Khan, Amjad Rehman; Saba, Tanzila
Taylor & Francis Ltd
09/2021
344
Dura
Inglês
9780367692476
15 a 20 dias
571
Descrição não disponível.
Chapter 1
Deep Learning for COVID-19 Infection's Diagnosis, Prevention, and Treatment
Chapter 2
Artificial Intelligence in Coronavirus Detection-Recent Findings and Future Perspectives
Chapter 3
Solutions of Differential Equations for Prediction of COVID-19 Cases by Homotopy Perturbation Method
Chapter 4
Predictive Models of Hospital Readmission Rate Using the Improved AdaBoost in COVID-19
Chapter 5
Nigerian Medical Laboratory Diagnosis of COVID-19; from Grass to Grace
Chapter 6
COVID-19 CT Image Segmentation and Detection: Review
Chapter 7
Interactive Medical Chatbot for Assisting with COVID-related Queries
Chapter 8
COVID-19 Outbreak Prediction After Lockdown, Based on Current Data Analytics
Chapter 9
A Deep Learning CNN Model for Genome Sequence Classification
Chapter 10
The Impact of Lockdown Strategies on COVID-19 Cases with a Confined Sentiment Analysis of COVID-19 Tweets
Chapter 11
A Mathematical Model and Forecasting of COVID-19 Outbreak in India
Chapter 12
Automatic Lung Infection Segmentation of COVID-19 in CT Scan Images
Chapter 13
A Review of Feature Selection Algorithms in Determining the Factors Affecting COVID-19
Chapter 14
Industry 4.0 Technology-based Diagnosis for COVID-19
Index
Deep Learning for COVID-19 Infection's Diagnosis, Prevention, and Treatment
Chapter 2
Artificial Intelligence in Coronavirus Detection-Recent Findings and Future Perspectives
Chapter 3
Solutions of Differential Equations for Prediction of COVID-19 Cases by Homotopy Perturbation Method
Chapter 4
Predictive Models of Hospital Readmission Rate Using the Improved AdaBoost in COVID-19
Chapter 5
Nigerian Medical Laboratory Diagnosis of COVID-19; from Grass to Grace
Chapter 6
COVID-19 CT Image Segmentation and Detection: Review
Chapter 7
Interactive Medical Chatbot for Assisting with COVID-related Queries
Chapter 8
COVID-19 Outbreak Prediction After Lockdown, Based on Current Data Analytics
Chapter 9
A Deep Learning CNN Model for Genome Sequence Classification
Chapter 10
The Impact of Lockdown Strategies on COVID-19 Cases with a Confined Sentiment Analysis of COVID-19 Tweets
Chapter 11
A Mathematical Model and Forecasting of COVID-19 Outbreak in India
Chapter 12
Automatic Lung Infection Segmentation of COVID-19 in CT Scan Images
Chapter 13
A Review of Feature Selection Algorithms in Determining the Factors Affecting COVID-19
Chapter 14
Industry 4.0 Technology-based Diagnosis for COVID-19
Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
CXR Image;Machine Learning;MERS;Mathematical Modeling;Acute Respiratory Distress Syndrome;Correlation and Regression Analysis;Ard;Coronavirus;CNN Model;Healthcare Systems;Random Forest;Monitoring Systems;Dl Model;Deep Neural Network Models;Viral Pneumonia;SVM;SARS CoV-2;Pin Code;Sir Model;Convolutional Layer;Feature Selection Methods;Feature Selection Mode;Conversational Agent;ARIMA Model;Cps;Medicine Shops;Medical Laboratory Testing;Feature Selection;Dl Technique;Gps Coordinate;SNOMED CT
Chapter 1
Deep Learning for COVID-19 Infection's Diagnosis, Prevention, and Treatment
Chapter 2
Artificial Intelligence in Coronavirus Detection-Recent Findings and Future Perspectives
Chapter 3
Solutions of Differential Equations for Prediction of COVID-19 Cases by Homotopy Perturbation Method
Chapter 4
Predictive Models of Hospital Readmission Rate Using the Improved AdaBoost in COVID-19
Chapter 5
Nigerian Medical Laboratory Diagnosis of COVID-19; from Grass to Grace
Chapter 6
COVID-19 CT Image Segmentation and Detection: Review
Chapter 7
Interactive Medical Chatbot for Assisting with COVID-related Queries
Chapter 8
COVID-19 Outbreak Prediction After Lockdown, Based on Current Data Analytics
Chapter 9
A Deep Learning CNN Model for Genome Sequence Classification
Chapter 10
The Impact of Lockdown Strategies on COVID-19 Cases with a Confined Sentiment Analysis of COVID-19 Tweets
Chapter 11
A Mathematical Model and Forecasting of COVID-19 Outbreak in India
Chapter 12
Automatic Lung Infection Segmentation of COVID-19 in CT Scan Images
Chapter 13
A Review of Feature Selection Algorithms in Determining the Factors Affecting COVID-19
Chapter 14
Industry 4.0 Technology-based Diagnosis for COVID-19
Index
Deep Learning for COVID-19 Infection's Diagnosis, Prevention, and Treatment
Chapter 2
Artificial Intelligence in Coronavirus Detection-Recent Findings and Future Perspectives
Chapter 3
Solutions of Differential Equations for Prediction of COVID-19 Cases by Homotopy Perturbation Method
Chapter 4
Predictive Models of Hospital Readmission Rate Using the Improved AdaBoost in COVID-19
Chapter 5
Nigerian Medical Laboratory Diagnosis of COVID-19; from Grass to Grace
Chapter 6
COVID-19 CT Image Segmentation and Detection: Review
Chapter 7
Interactive Medical Chatbot for Assisting with COVID-related Queries
Chapter 8
COVID-19 Outbreak Prediction After Lockdown, Based on Current Data Analytics
Chapter 9
A Deep Learning CNN Model for Genome Sequence Classification
Chapter 10
The Impact of Lockdown Strategies on COVID-19 Cases with a Confined Sentiment Analysis of COVID-19 Tweets
Chapter 11
A Mathematical Model and Forecasting of COVID-19 Outbreak in India
Chapter 12
Automatic Lung Infection Segmentation of COVID-19 in CT Scan Images
Chapter 13
A Review of Feature Selection Algorithms in Determining the Factors Affecting COVID-19
Chapter 14
Industry 4.0 Technology-based Diagnosis for COVID-19
Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
CXR Image;Machine Learning;MERS;Mathematical Modeling;Acute Respiratory Distress Syndrome;Correlation and Regression Analysis;Ard;Coronavirus;CNN Model;Healthcare Systems;Random Forest;Monitoring Systems;Dl Model;Deep Neural Network Models;Viral Pneumonia;SVM;SARS CoV-2;Pin Code;Sir Model;Convolutional Layer;Feature Selection Methods;Feature Selection Mode;Conversational Agent;ARIMA Model;Cps;Medicine Shops;Medical Laboratory Testing;Feature Selection;Dl Technique;Gps Coordinate;SNOMED CT
