Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Big data analytics and artificial intelligence against COVID-19 : innovation vision and approach / / Aboul-Ella Hassanien, Nilanjan Dey, Sally Elghamrawy, editors
| Big data analytics and artificial intelligence against COVID-19 : innovation vision and approach / / Aboul-Ella Hassanien, Nilanjan Dey, Sally Elghamrawy, editors |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XI, 307 p. 169 illus., 130 illus. in color.) |
| Disciplina | 610.28563 |
| Collana | Studies in Big Data |
| Soggetto topico |
Artificial intelligence - Medical applications
Big data |
| ISBN | 3-030-55258-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Coronavirus Spreading Forecasts based on Susceptible-Infectious- Recovered and Linear Regression Model -- Virus Graph and COVID-19 Pandemic: A Graph Theory Approach -- Nonparametric Analysis of Tracking Data in the Context of COVID-19 Pandemic -- Visualization and prediction of trends of Covid-19 pandemic during early outbreak in India using DNN and SVR -- The Detection of COVID-19 in CT Medical Images: A Deep Learning Approach -- COVID-19 Data Analysis and Innovative approach in Prediction of Cases -- Detection of COVID-19 using Chest Radiographs with Intelligent Deployment Architecture -- COVID-19 Diagnostics from the Chest X-Ray Image Using Corner-Based Weber Local Descriptor -- Why are Generative Adversarial Networks Vital for Deep Neural Networks? A Case Study on COVID-19 Chest X-Ray Images -- Artificial intelligence against COVID-19: A meta-analysis of current research -- Insights of Artificial Intelligence to Stop Spread of COVID-19 -- AI based Covid19 analysis-A pragmatic approach -- Artificial Intelligence and Psychosocial Support during the COVID-19 Outbreak -- Role of The Accurate Detection of Core Body Temperature in The Early Detection of Coronavirus -- The effect Coronavirus Pendamic on Education into Electronic Multi-Modal Smart Education -- An H2O’s Deep Learning-inspired model based on Big Data analytics for Coronavirus Disease (COVID-19) Diagnosis -- Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique -- Stacking Deep Learning for Early COVID-19 Vision Diagnosis. |
| Record Nr. | UNINA-9910733707903321 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach / / edited by Aboul-Ella Hassanien, Nilanjan Dey, Sally Elghamrawy
| Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach / / edited by Aboul-Ella Hassanien, Nilanjan Dey, Sally Elghamrawy |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Springer International Publishing, 2020 |
| Descrizione fisica | 1 online resource (XI, 307 p. 169 illus., 130 illus. in color.) |
| Disciplina | 610.28563 |
| Collana | Studies in Big Data |
| Soggetto topico |
Engineering - Data processing
Artificial intelligence Computational intelligence Biomedical engineering Epidemiology Big data Data Engineering Artificial Intelligence Computational Intelligence Biomedical Engineering and Bioengineering Big Data |
| ISBN | 3-030-55258-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Coronavirus Spreading Forecasts based on Susceptible-Infectious- Recovered and Linear Regression Model -- Virus Graph and COVID-19 Pandemic: A Graph Theory Approach -- Nonparametric Analysis of Tracking Data in the Context of COVID-19 Pandemic -- Visualization and prediction of trends of Covid-19 pandemic during early outbreak in India using DNN and SVR -- The Detection of COVID-19 in CT Medical Images: A Deep Learning Approach -- COVID-19 Data Analysis and Innovative approach in Prediction of Cases -- Detection of COVID-19 using Chest Radiographs with Intelligent Deployment Architecture -- COVID-19 Diagnostics from the Chest X-Ray Image Using Corner-Based Weber Local Descriptor -- Why are Generative Adversarial Networks Vital for Deep Neural Networks? A Case Study on COVID-19 Chest X-Ray Images -- Artificial intelligence against COVID-19: A meta-analysis of current research -- Insights of Artificial Intelligence to Stop Spread of COVID-19 -- AI based Covid19 analysis-A pragmatic approach -- Artificial Intelligence and Psychosocial Support during the COVID-19 Outbreak -- Role of The Accurate Detection of Core Body Temperature in The Early Detection of Coronavirus -- The effect Coronavirus Pendamic on Education into Electronic Multi-Modal Smart Education -- An H2O’s Deep Learning-inspired model based on Big Data analytics for Coronavirus Disease (COVID-19) Diagnosis -- Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique -- Stacking Deep Learning for Early COVID-19 Vision Diagnosis. |
| Record Nr. | UNISA-996465445903316 |
| Springer International Publishing, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach / / edited by Aboul-Ella Hassanien, Nilanjan Dey, Sally Elghamrawy
| Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach / / edited by Aboul-Ella Hassanien, Nilanjan Dey, Sally Elghamrawy |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Springer International Publishing, 2020 |
| Descrizione fisica | 1 online resource (XI, 307 p. 169 illus., 130 illus. in color.) |
| Disciplina | 610.28563 |
| Collana | Studies in Big Data |
| Soggetto topico |
Engineering - Data processing
Artificial intelligence Computational intelligence Biomedical engineering Epidemiology Big data Data Engineering Artificial Intelligence Computational Intelligence Biomedical Engineering and Bioengineering Big Data |
| ISBN | 3-030-55258-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Coronavirus Spreading Forecasts based on Susceptible-Infectious- Recovered and Linear Regression Model -- Virus Graph and COVID-19 Pandemic: A Graph Theory Approach -- Nonparametric Analysis of Tracking Data in the Context of COVID-19 Pandemic -- Visualization and prediction of trends of Covid-19 pandemic during early outbreak in India using DNN and SVR -- The Detection of COVID-19 in CT Medical Images: A Deep Learning Approach -- COVID-19 Data Analysis and Innovative approach in Prediction of Cases -- Detection of COVID-19 using Chest Radiographs with Intelligent Deployment Architecture -- COVID-19 Diagnostics from the Chest X-Ray Image Using Corner-Based Weber Local Descriptor -- Why are Generative Adversarial Networks Vital for Deep Neural Networks? A Case Study on COVID-19 Chest X-Ray Images -- Artificial intelligence against COVID-19: A meta-analysis of current research -- Insights of Artificial Intelligence to Stop Spread of COVID-19 -- AI based Covid19 analysis-A pragmatic approach -- Artificial Intelligence and Psychosocial Support during the COVID-19 Outbreak -- Role of The Accurate Detection of Core Body Temperature in The Early Detection of Coronavirus -- The effect Coronavirus Pendamic on Education into Electronic Multi-Modal Smart Education -- An H2O’s Deep Learning-inspired model based on Big Data analytics for Coronavirus Disease (COVID-19) Diagnosis -- Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique -- Stacking Deep Learning for Early COVID-19 Vision Diagnosis. |
| Record Nr. | UNINA-9910863181503321 |
| Springer International Publishing, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||