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Bioinformatics Applications Based On Machine Learning
| Bioinformatics Applications Based On Machine Learning |
| Autore | Chamoso Pablo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (206 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
machine learning
metagenomics bioinformatics CTX-M data mining cluster clinical implications diabetes epidemiology forecast PART Decision table Weka real-life patients regression ear detection computer vision convolutional neural network image recognition video analysis gene clustering swarm intelligence biological functions detection informative genes fuel cell hydrogen energy intelligent systems hybrid systems Artificial Neural Networks power management Machine Learning personality assessment gradient boosting Affective Computing transposable elements metrics deep learning detection classification mitochondrial protein bi-directional LSTM plasmodium falciparum Particle Swarm Optimization Harmony Search parameter estimation Arabidopsis thaliana clinical data feature selection genetic programming evolutionary computation dynamic models evolutionary computing derivative-free optimization metabolism glycolysis yeast |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674055503321 |
Chamoso Pablo
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Claim Models: Granular Forms and Machine Learning Forms
| Claim Models: Granular Forms and Machine Learning Forms |
| Autore | Taylor Greg |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (108 p.) |
| Soggetto non controllato |
granular models
neural networks actuarial payments per claim incurred risk pricing machine learning claim watching loss reserving gradient boosting predictive modeling classification and regression trees individual models individual claims reserving |
| ISBN | 3-03928-665-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Claim Models |
| Record Nr. | UNINA-9910404090203321 |
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Taylor Greg
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning in Tribology
| Machine Learning in Tribology |
| Autore | Tremmel Stephan |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (208 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
artificial intelligence
machine learning artificial neural networks tribology condition monitoring semi-supervised learning random forest classifier self-lubricating journal bearings reduced order modelling dynamic friction rubber seal applications tensor decomposition laser surface texturing texturing during moulding digital twin PINN reynolds equation triboinformatics databases data mining meta-modeling monitoring analysis prediction optimization fault data generation Convolutional Neural Network (CNN) Generative Adversarial Network (GAN) bearing fault diagnosis unbalanced datasets tribo-testing tribo-informatics natural language processing tribAIn BERT amorphous carbon coatings UHWMPE total knee replacement Gaussian processes rolling bearing dynamics cage instability regression neural networks random forest gradient boosting evolutionary algorithms rolling bearings remaining useful life feature engineering structure-borne sound |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576887003321 |
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Tremmel Stephan
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sustainable Agricultural Engineering Technologies and Applications
| Sustainable Agricultural Engineering Technologies and Applications |
| Autore | Sultan Muhammad |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (254 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Technology, engineering, agriculture |
| Soggetto non controllato |
greenhouse
microclimate Bayesian optimization deep neural network roses yield Gaussian process gradient boosting pool boiling heat transfer coefficient sintered coated porous surfaces gaussian process gradient boosting regression trees response surface renovation index CFD simulation airflow evaporative cooling desiccant dehumidification agricultural storage air conditioning system performance lemon cordial microwave preservation green processing antioxidant potential renewable energy Scheffler concentrator reflector batch-type solar roaster response surface methodology coffee roasting municipal solid waste sanitary landfill open dumps waste to energy climate change yogurt processing solar energy solar-based heating and cooling thermal analysis vegetable yield nitrogen use efficiency nutrient leaching leaching-to-input ratio nitrogen fertilizer economic benefit environment eutrophication particulate fraction effluent treatment thermal screens heating demand TRNSYS greenhouse internal temperature building energy simulation longwave radiation soil total nitrogen BP neural network support vector machines spatial distribution remote sensing |
| ISBN | 3-0365-5889-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639995503321 |
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Sultan Muhammad
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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