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Advances in Deep Generative Models for Medical Artificial Intelligence
| Advances in Deep Generative Models for Medical Artificial Intelligence |
| Autore | Ali Hazrat |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (259 pages) |
| Altri autori (Persone) |
RehmaniMubashir Husain
ShahZubair |
| Collana | Studies in Computational Intelligence Series |
| Soggetto topico |
Artificial Intelligence
Machine Learning Deep Learning Diagnostic Imaging Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted |
| ISBN |
9783031463419
9783031463402 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910770277603321 |
Ali Hazrat
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| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applied smart health care informatics : a computational intelligence perspective / / edited by Sourav De [and three others]
| Applied smart health care informatics : a computational intelligence perspective / / edited by Sourav De [and three others] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2022] |
| Descrizione fisica | 1 online resource (227 pages) |
| Disciplina | 610.285 |
| Collana | The Wiley Series in Intelligent Signal and Data Processing |
| Soggetto topico |
Medical informatics
Medical Informatics Decision Making, Computer-Assisted Cloud Computing Artificial Intelligence Deep Learning |
| ISBN |
1-119-74318-4
1-119-74298-6 1-119-74320-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910830353003321 |
| Hoboken, New Jersey : , : Wiley, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Pedestrian Detection Algorithms using Shearlets
| Pedestrian Detection Algorithms using Shearlets |
| Autore | Pfeifer Lienhard |
| Pubbl/distr/stampa | Berlin, : Logos Verlag, 2019 |
| Descrizione fisica | Online-Ressource (186 S.) |
| Disciplina | 363.12/563 |
| Soggetto topico |
Künstliche Intelligenz
Bildverarbeitung Deep Learning Autonomes Fahren Objekterkennung |
| ISBN | 3-8325-9013-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910838264403321 |
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Pfeifer Lienhard
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| Berlin, : Logos Verlag, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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System design for epidemics using machine learning and deep learning / / G.R. Kanagachidambaresan, Dinesh Bhatia, Dhilip Kumar, Animesh Mishra, editors
| System design for epidemics using machine learning and deep learning / / G.R. Kanagachidambaresan, Dinesh Bhatia, Dhilip Kumar, Animesh Mishra, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (336 pages) |
| Disciplina | 610.28563 |
| Collana | Signals and communication technology |
| Soggetto topico |
Artificial intelligence - Medical applications
Deep learning (Machine learning) - Therapeutic use Epidemics - Prevention - Technological innovations Deep learning (Machine learning) Epidemics - Prevention Deep Learning Machine Learning Epidemics - prevention & control Electronic Data Processing - methods |
| ISBN | 3-031-19752-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Pandemic effect of COVID-19: Identification, Present scenario and preventive measures using Machine learning model. -- 2. A Comprehensive Review of the Smart Health Records to prevent Pandemic -- 3. Automation of COVID-19 Disease Diagnosis from Radiograph -- 4. Applications of Artificial Intelligence in the attainment of Sustainable Development Goals -- 5. A Novel Model for IoT Blockchain Assurance Based Compliance to COVID Quarantine -- 6. DEEP LEARNING BASED CONVOLUTIONALNEURAL NETWORK WITH RANDOM FOREST APPROACH FOR MRI BRAIN TUMOUR SEGMENTATION -- 7. Expert systems for improving the effectiveness of remote health monitoring in Covid-19 Pandemic -- A Critical Review -- 8. Artificial Intelligence-based predictive tools for Life-threatening diseases -- 9. Deep Convolutional Generative Adversarial Network for Metastatic Tissue Diagnosis in Lymph Node Section -- 10. Transformation in Health Sector during Pandemic by Photonics Devices -- 11. DIAGNOSIS OF COVID-19 FROM CT IMAGES AND RESPIRATORY SOUND SIGNALS USING DEEP LEARNING STRATEGIES -- 12. The Role of Edge Computing in Pandemic and Epidemic Situations with its Solutions -- 13. Advances and application of Artificial Intelligence and Machine learning in the field of cardiovascular diseases and its role during the Pandemic condition -- 14. Effective Health Screening and Prompt Vaccination to Counter the Spread of Covid-19 and Minimize its Adverse Effects -- 15. CROWD DENSITY ESTIMATION USING NEURAL NETWORK FOR COVID'19 AND FUTURE PANDEMICS -- 16. "Role of digital healthcare in rehabilitation during pandemic" -- 17. AN EPIDEMIC OF NEURODEGENERATIVE DISEASE ANALYSIS USING MACHINE LEARNING TECHNIQUES -- 18. Covid-19 Growth Curve Forecasting for India using Deep Learning Techniques. |
| Record Nr. | UNINA-9910736996903321 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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