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.
Data Science in Healthcare
| Data Science in Healthcare |
| Autore | Hulsen Tim |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (212 p.) |
| Soggetto topico |
Medicine
Pharmacology |
| Soggetto non controllato |
data sharing
data management data science big data healthcare depression psychological treatment task sharing primary care pilot study non-specialist health worker training digital technology mental health COVID-19 SARS-CoV-2 pneumonia computed tomography case fatality rate social distancing smoking metabolically healthy obese phenotype metabolic syndrome obesity coronavirus machine learning social media apache spark Arabic language distributed computing smart cities smart healthcare smart governance Triple Bottom Line (TBL) thoracic pain tree classification cross-validation hand-foot-and-mouth disease early-warning model neural network genetic algorithm sentinel surveillance system outbreak prediction artificial intelligence vascular access surveillance arteriovenous fistula end stage kidney disease dialysis kidney failure chronic kidney disease (CKD) end-stage kidney disease (ESKD) kidney replacement therapy (KRT) risk prediction naïve Bayes classifiers precision medicine machine learning models data exploratory techniques breast cancer diagnosis tumors classification |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576885103321 |
Hulsen Tim
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Deep Learning in Medical Image Analysis
| Deep Learning in Medical Image Analysis |
| Autore | Zhang Yudong |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (458 p.) |
| Soggetto non controllato |
interpretable/explainable machine learning
image classification image processing machine learning models white box black box cancer prediction deep learning multimodal learning convolutional neural networks autism fMRI texture analysis melanoma glcm matrix machine learning classifiers explainability explainable AI XAI medical imaging diagnosis ARMD change detection unsupervised learning microwave breast imaging image reconstruction tumor detection digital pathology whole slide image processing multiple instance learning deep learning classification HER2 medical images transfer learning optimizers neo-adjuvant treatment tumour cellularity cancer breast cancer diagnostics imaging computation artificial intelligence 3D segmentation active surface discriminant analysis PET imaging medical image analysis brain tumor cervical cancer colon cancer lung cancer computer vision musculoskeletal images lung disease detection taxonomy convolutional neural network CycleGAN data augmentation dermoscopic images domain transfer macroscopic images skin lesion segmentation infection detection COVID-19 X-ray images bayesian inference shifted-scaled dirichlet distribution MCMC gibbs sampling object detection surgical tools open surgery egocentric camera computers in medicine segmentation MRI ECG signal detection portable monitoring devices 1D-convolutional neural network medical image segmentation domain adaptation meta-learning U-Net computed tomography (CT) magnetic resonance imaging (MRI) low-dose sparse-angle quantitative comparison |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557435103321 |
|
Zhang Yudong
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
JIDOKA. Integration of Human and AI within Industry 4.0 Cyber Physical Manufacturing Systems
| JIDOKA. Integration of Human and AI within Industry 4.0 Cyber Physical Manufacturing Systems |
| Autore | Villalba-Diez Javier |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (188 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
healthy operator 4.0
human–cyber–physical system industrial internet of things industry 4.0 smart workplaces EEG sensors manufacturing systems shopfloor management machine learning deep learning reference architecture model interoperability digital twin distributed ledger technology GDPR RAMI 4.0 LASFA quantum computing strategic organizational design Industry 4.0 complex networks cyber-physical systems lean management systems quantum strategic organizational design quantum circuits quantum simulation JIDOKA Operator 4.0 process variability integration explaining variability quantum approximate optimization algorithm value–stream networks optimization maintenance interval maintenance model semi-Markov process right-censored data finite horizon maintenance cost Cyber-Physical Systems Lean Manufacturing Directed Acyclic Graphs scikit-learn pipegraph machine learning models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566484003321 |
|
Villalba-Diez Javier
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Remote Sensing of Natural Hazards
| Remote Sensing of Natural Hazards |
| Autore | Ahmed Bayes |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (314 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
sequential estimation
InSAR time series groundwater land subsidence and rebound earthquake rapid mapping damage assessment deep learning convolutional neural networks ordinal regression aerial image landslide machine learning models remote sensing ensemble models validation ice storm forest ecosystems disaster impact post-disaster recovery ice jam snowmelt flood mapping monitoring and prediction VIIRS ABI NUAE flash flood BRT CART naive Bayes tree geohydrological model landslide susceptibility Bangladesh digital elevation model random forest modified frequency ratio logistic regression automatic landslide detection OBIA PBA random forests supervised classification landslides uncertainty K-Nearest Neighbor Multi-Layer Perceptron Random Forest Support Vector Machine agriculture drought NDVI MODIS landslide deformation InSAR reservoir water level Sentinel-1 Three Gorges Reservoir area (China) peri-urbanization urban growth boundary demarcation climate change climate migrants natural hazards flooding land use and land cover night-time light data Dhaka |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595070103321 |
|
Ahmed Bayes
|
||
| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||