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Artificial intelligence and machine learning methods in COVID-19 and related health diseases / / edited by Victor Chang, Harleen Kaur, Simon James Fong
Artificial intelligence and machine learning methods in COVID-19 and related health diseases / / edited by Victor Chang, Harleen Kaur, Simon James Fong
Pubbl/distr/stampa Singapore : , : Springer, , [2022]
Descrizione fisica 1 online resource (254 pages)
Disciplina 060
Collana Studies in Computational Intelligence
Soggetto topico Artificial intelligence - Medical applications
ISBN 3-031-04597-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910735390603321
Singapore : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing [[electronic resource] /] / edited by Simon James Fong, Richard C. Millham
Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing [[electronic resource] /] / edited by Simon James Fong, Richard C. Millham
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (228 pages)
Disciplina 571.0284
Collana Springer Tracts in Nature-Inspired Computing
Soggetto topico Computational intelligence
Algorithms
Big data
Database management
Application software
Computational Intelligence
Algorithm Analysis and Problem Complexity
Big Data
Database Management
Information Systems Applications (incl. Internet)
ISBN 981-15-6695-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. The Big Data Approach Using Bio-Inspired Algorithms: Data Imputation -- Chapter 2. Parameter Tuning onto Recurrent Neural Network and Long Short Term Memory (RNN-LSTM) Network for Feature Selection in Classification of High-dimensional Bioinformatics Datasets -- Chapter 3. Data Stream Mining in Fog Computing Environment with Feature Selection Using Ensemble of Swarm Search Algorithms -- Chapter 4. Pattern Mining Algorithms -- Chapter 5. Extracting Association Rules: Meta-Heuristic and Closeness Preference Approach -- Chapter 6. Lightweight Classifier-based Outlier Detection Algorithms from Multivariate Data Stream -- Chapter 7. Comparison of Contemporary Meta-heuristic Algorithms for Solving Economic Load Dispatch Problem -- Chapter 8. The paradigm on fog computing with bio-inspired search methods and the ‘5Vs’ of big data -- Chapter 9. Approach for sentiment analysis on social media sites -- Chapter 10. Data Visualisation techniques and Algorithms -- Chapter 11. Business Intelligence -- Chapter 12. Big Data Tools for Tasks.
Record Nr. UNINA-9910767531703321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing / / edited by Simon James Fong, Richard C. Millham
Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing / / edited by Simon James Fong, Richard C. Millham
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Springer Singapore, 2021
Descrizione fisica 1 online resource (228 pages)
Disciplina 571.0284
Collana Springer Tracts in Nature-Inspired Computing
Soggetto topico Computational intelligence
Algorithms
Big data
Database management
Application software
Computational Intelligence
Algorithm Analysis and Problem Complexity
Big Data
Database Management
Information Systems Applications (incl. Internet)
ISBN 981-15-6695-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. The Big Data Approach Using Bio-Inspired Algorithms: Data Imputation -- Chapter 2. Parameter Tuning onto Recurrent Neural Network and Long Short Term Memory (RNN-LSTM) Network for Feature Selection in Classification of High-dimensional Bioinformatics Datasets -- Chapter 3. Data Stream Mining in Fog Computing Environment with Feature Selection Using Ensemble of Swarm Search Algorithms -- Chapter 4. Pattern Mining Algorithms -- Chapter 5. Extracting Association Rules: Meta-Heuristic and Closeness Preference Approach -- Chapter 6. Lightweight Classifier-based Outlier Detection Algorithms from Multivariate Data Stream -- Chapter 7. Comparison of Contemporary Meta-heuristic Algorithms for Solving Economic Load Dispatch Problem -- Chapter 8. The paradigm on fog computing with bio-inspired search methods and the ‘5Vs’ of big data -- Chapter 9. Approach for sentiment analysis on social media sites -- Chapter 10. Data Visualisation techniques and Algorithms -- Chapter 11. Business Intelligence -- Chapter 12. Big Data Tools for Tasks.
Record Nr. UNINA-9910863112203321
Springer Singapore, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computerized Systems for Diagnosis and Treatment of COVID-19 [[electronic resource] /] / edited by Joao Alexandre Lobo Marques, Simon James Fong
Computerized Systems for Diagnosis and Treatment of COVID-19 [[electronic resource] /] / edited by Joao Alexandre Lobo Marques, Simon James Fong
Autore Lobo Marques Joao Alexandre
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (210 pages)
Disciplina 610.28
Altri autori (Persone) FongSimon James
Soggetto topico Biomedical engineering
Therapeutics
Diagnosis
Diseases
Biophysics
Biomedical Engineering and Bioengineering
Bioanalysis and Bioimaging
ISBN 3-031-30788-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Clinical impact of automatic diagnostic systems -- Lung segmentation from XRay -- Lung segmentation from CT Scan -- Covid Automatic Diagnostic based on XRay -- Covid Automatic Diagnostic based on CTScan -- Cardiovascular analysis of covid patients based on ECG -- Cognitive analysis of covid patients based on EEG -- AI Controlled Mechanical Ventilator for COVID-19 patients.
Record Nr. UNINA-9910734879103321
Lobo Marques Joao Alexandre  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Epidemic analytics for decision supports in COVID19 crisis / / edited by Joao Alexandre Lobo Marques, Simon James Fong
Epidemic analytics for decision supports in COVID19 crisis / / edited by Joao Alexandre Lobo Marques, Simon James Fong
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (161 pages)
Disciplina 614.40285
Soggetto topico Decision making - Data processing
ISBN 3-030-95281-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910574072603321
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui