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Artificial Neural Networks for IoT-Enabled Smart Applications
| Artificial Neural Networks for IoT-Enabled Smart Applications |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (268 p.) |
| Soggetto topico |
Medicine and Nursing
Neurosciences |
| Soggetto non controllato |
"dry" immersion
5G and beyond accelerometry ANN arrhythmia artificial intelligence (AI) bark detection biochemical and hematological biomarkers canine activity recognition cardiac chemical carcinogens child drowning prevention communication technologies convolution neural network convolutional neural network COVID-19 decentralized deep learning deep learning neural network distracted driving edge computing Electrocardiogram (ECG) electroencephalography ensemble learning fast forward neural network feature selection method gait hybrid neural network imaginary speech inertial measurement unit Internet of Medical Things IoT Kara One database LogNNet neural network machine learning machine learning sensors microprocessor n/a network slicing architecture Parkinson's disease point clouds remote sensing routine blood values search and rescue system signal processing smartphone stacking systematic literature review (SLR) TUG test water level prediction wearable computing |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911053081103321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Corporate Bankruptcy Prediction : International Trends and Local Experience
| Corporate Bankruptcy Prediction : International Trends and Local Experience |
| Autore | Prusak Błażej |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (202 p.) |
| Soggetto topico | Economics, Finance, Business and Management |
| Soggetto non controllato |
artificial neural networks
audit expectation gap bagging bankruptcy bankruptcy model bankruptcy prediction bankruptcy risk boosting chapter 11 citation mining classification company performance corporate bankruptcy corporate failure credit risk modelling Czech Republic decision trees default ensemble classifiers European large companies failure financial distress financial ratios forecasting forecasting methods fuzzy sets insolvency ISA 701 key audit matters literature review manufacturing insolvency materiality meta-analysis models predicting financial distress neural networks payment defaults phases of economic cycle Poland prediction Principal Component Analysis rating systems regression count scoring models stacking support vector machine tax arrears |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Corporate Bankruptcy Prediction |
| Record Nr. | UNINA-9910557527203321 |
Prusak Błażej
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Dam Safety. Overtopping and Geostructural Risks
| Dam Safety. Overtopping and Geostructural Risks |
| Autore | Toledo Miguel Á |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (270 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
hydraulic structure
sky-jump spillway flip bucket chute basin erosion flow rate jet flow wave overtopping levee cover probabilistic framework slope stability piping overtopping fragility curves Monte Carlo simulation dam stilling basin bucket flood weir safety protection dam protection wedge-shaped block WSB dam spillway dam safety ACUÑA rockfill dams throughflow numerical modeling non-Darcy flow porous media Forchheimer equation high velocity crushed rock rounded materials hydraulic mean radius intrinsic permeability shape of particles angularity of particles surface roughness of particles river levees geogrid reinforcement First Order Reliability Method (FORM) Surface Response Method (SRM) high gravity dams dam-foundation-reservoir dynamic interaction earthquake input mechanisms hydrodynamic pressure foundation size reservoir length stacking blending combination meta-learner experts machine learning Cross Validation radial displacement rockfill dam dam failure overflow floods dam breach |
| ISBN | 3-0365-5656-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637795203321 |
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Toledo Miguel Á
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Korrektur stationsabhängiger Fehler bei GNSS
| Korrektur stationsabhängiger Fehler bei GNSS |
| Autore | Knöpfler Andreas |
| Pubbl/distr/stampa | KIT Scientific Publishing, 2015 |
| Descrizione fisica | 1 online resource (XVI, 165 p. p.) |
| Collana | Schriftenreihe des Studiengangs Geodäsie und Geoinformatik / Karlsruher Institut für Technologie, Studiengang Geodäsie und Geoinformatik |
| Soggetto topico | Physics |
| Soggetto non controllato |
GNSS
Mehrwegeeffekte multipath effects site dependent errors stacking StackingGNSS stationsabhängige Fehler |
| ISBN | 1000045959 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Record Nr. | UNINA-9910346782603321 |
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Knöpfler Andreas
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| KIT Scientific Publishing, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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