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Computational Methods for Medical and Cyber Security
| Computational Methods for Medical and Cyber Security |
| Autore | Luo Suhuai |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (228 p.) |
| Soggetto non controllato |
fintech
financial technology blockchain deep learning regtech environment social sciences machine learning learning analytics student field forecasting imbalanced datasets explainable machine learning intelligent tutoring system adversarial machine learning transfer learning cognitive bias stock market behavioural finance investor’s profile Teheran Stock Exchange unsupervised learning clustering big data frameworks fault tolerance stream processing systems distributed frameworks Spark Hadoop Storm Samza Flink comparative analysis a survey data science educational data mining supervised learning secondary education academic performance text-to-SQL natural language processing database machine translation medical image segmentation convolutional neural networks SE block U-net DeepLabV3plus cyber-security medical services cyber-attacks data communication distributed ledger identity management RAFT HL7 electronic health record Hyperledger Composer cybersecurity password security browser security social media ANOVA SPSS internet of things cloud computing computational models metaheuristics phishing detection website phishing |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595066903321 |
Luo Suhuai
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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District Heating and Cooling Networks
| District Heating and Cooling Networks |
| Autore | Borge Diez David |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (270 p.) |
| Soggetto non controllato |
district heating
4th generation district heating data mining algorithms energy system modeling neural networks baseline model hydronic pavement system biomass district heating for rural locations CO2 emissions abatement low temperature networks ultralow-temperature district heating domestic optimization energy efficiency sustainable energy big data frameworks verification energy prediction parameter analysis greenhouse gas emissions time delay heat pumps primary energy use retrofit energy consumption forecast district heating (DH) network low-temperature district heating thermal inertia variable-temperature district heating data streams analysis Computational Fluid Dynamics energy management in renovated building Scotland heat reuse thermally activated cooling district cooling space cooling Gulf Cooperation Council biomass TRNSYS hot climate optimal control air-conditioning machine learning low temperature district heating system data center twin-pipe residential prediction algorithm CFD model nZEB thermal-hydraulic performance |
| ISBN | 3-03928-840-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404083603321 |
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Borge Diez David
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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