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Advanced Signal Processing in Wearable Sensors for Health Monitoring
| Advanced Signal Processing in Wearable Sensors for Health Monitoring |
| Autore | Abbod Maysam |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (206 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
Anomaly Detection
arterial blood pressure artificial neural network automated dietary monitoring behavioral signals biomedical signal processing blind source separation Cardiovascular Disease central venous pressure continuous arterial blood pressure deep convolutional autoencoder diastolic blood pressure drowsiness detection eating detection eating timing error analysis ECG EEG electrocardiography extreme learning machine frequency-domain features genetic algorithm heart rate measurement hemodynamics Hill muscle model independent component analysis intracranial pressure joint moment prediction long short-term memory machine learning Machine Learning motion artifact multi-wavelength multicriteria optimization multilayer perceptron myocardial infarction n/a non-invasive system online input variables pain detection photoplethysmography physiological signals pulmonary arterial pressure remote BCG remote HR remote PPG Review Signal Processing smart eyeglasses spline stress detection systolic blood pressure vectorcardiography wearable health monitoring wearable sensor |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566462503321 |
Abbod Maysam
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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AI and Financial Markets
| AI and Financial Markets |
| Autore | Hamori Shigeyuki |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (230 p.) |
| Soggetto topico | Economics, Finance, Business and Management |
| Soggetto non controllato |
agent based simulation
algorithmic trading Artificial Intelligence artificial market asset allocation ATR autoencoder blockchain BlockCloud CAR regulation CfD community finances consensus algorithms contract for difference deep learning deep reinforcement learning economic policy exchange rates financial market simulation fiscal flexibility fundamentals hidden markov model individualized financial arrangements interpretability long short-term memory LSTM machine learning neural network neural networks portfolio prediction price momentum Q-learning random forest reinforcement learning RL simulation Stop Loss support vector machine sustainable financial services term structure of interest rates text mining topic model Turtle uncertainty yield curve |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557584903321 |
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Hamori Shigeyuki
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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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AI-Based Transportation Planning and Operation
| AI-Based Transportation Planning and Operation |
| Autore | Sohn Keemin |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (124 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
artificial neural network
autoencoder automated vehicle black ice bottleneck and gridlock identification CNN context-awareness CycleGAN deep learning deep neural networks driving cycle dynamic pricing gridlock prediction link embedding link emission factors long short-term memory micro-level vehicle emission estimation MOVES prevention preventive automated driving system reachability analysis reinforcement learning ridesharing spatio-temporal data supply improvement taxi traffic accidents traffic flow centrality traffic speed prediction traffic volume urban road network vehicle counting vehicle GPS data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557486603321 |
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Sohn Keemin
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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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Comminution in the Minerals Industry
| Comminution in the Minerals Industry |
| Autore | Tavares Luís Marcelo M |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (214 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
aggregation
ball size bed breakage breakage breakage modelling comminution compaction compression crushing deep learning DEM discrete element method Discrete Element Method drop-weight tester energy consumption energy consumption characterization energy input fine grinding fracturing galena grinding grinding behaviors grinding prediction heterogeneous breakage high-energy ball milling iron ore jaw crusher liberation liner wear long short-term memory mineral processing mining mining operation mixed sulfides modeling modelling n/a nanoscale talc operational hardness ore grinding ore milling particle breakage Particle Replacement Model piston-and-die primary crushing quantitative microstructural analysis quartz rock sand saturation selective comminution semi-autogenous grinding mill shear stress simulation single particle breakage sphalerite split energy structure sulfur content texture Tower Mill tribochemistry Vertimill VSI wet milling X-ray computed tomography |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557728203321 |
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Tavares Luís Marcelo M
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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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Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications
| Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications |
| Autore | Vitelli Massimo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (280 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
adaptive neuro-fuzzy inference systems
ANFIS artificial neural network artificial neural networks clear sky irradiance clustering-based PV fault detection COA complex network analysis data fusion deterioration deterministic optimization algorithm diffractive grating diffractive optical element double flames generation (DFG) strategy duty cycle environmental parameters fault prognosis feed-forward neural networks finite difference time domain genetic algorithm global horizontal irradiance global optimization gradient descent hot spot image processing implicit model solution integrated energy systems linear approximation long short-term memory LSTM cell machine learning mathematical modeling maximum power point tracking metaheuristic optimization algorithm moth-flame optimization MPPT algorithm multiple regression model national power system optical modelling parameter extraction partial shading particle swarm optimization-artificial neural networks performances evaluation persistent predictor photovoltaic array photovoltaic model photovoltaic module photovoltaic plants photovoltaic power prediction photovoltaic system photovoltaic systems photovoltaics publicly available weather reports PV fleet PV power prediction PVs power output forecasting recurrent neural networks renewable energy self-imputation sensor network series-parallel single stage grid connected systems single-diode model smart energy management solar cell optimization Solar cell parameters solar concentrator solar irradiation spectral beam splitting statistical method sustainable development thermal image two-diode model unsupervised learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557297703321 |
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Vitelli Massimo
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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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Deep Learning Applications with Practical Measured Results in Electronics Industries
| Deep Learning Applications with Practical Measured Results in Electronics Industries |
| Autore | Kung Hsu-Yang |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (272 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
A*
background model binary classification CNN compressed sensing computational intelligence content reconstruction convolutional network data fusion data partition deep learning digital shearography discrete wavelet transform dot grid target eye-tracking device faster region-based CNN forecasting foreign object GA gated recurrent unit generative adversarial network geometric errors geometric errors correction GSA-BP human computer interaction humidity sensor hyperspectral image classification image compression image inpainting image restoration imaging confocal microscope Imaging Confocal Microscope information measure instance segmentation intelligent surveillance intelligent tire manufacturing K-means clustering kinematic modelling lateral stage errors Least Squares method long short-term memory machine learning MCM uncertainty evaluation multiple constraints multiple linear regression multivariate temporal convolutional network multivariate time series forecasting neighborhood noise reduction network layer contribution neural audio caption neural networks neuro-fuzzy systems nonlinear optimization offshore wind optimization techniques oral evaluation recommender system reinforcement learning residual networks rigid body kinematics saliency information smart grid supervised learning tire bubble defects tire quality assessment trajectory planning transfer learning UAV underground mines unmanned aerial vehicle unsupervised learning update mechanism update occasion visual tracking |
| ISBN | 3-03928-864-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404080403321 |
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Kung Hsu-Yang
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment
| Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment |
| Autore | Fuentes Sigfredo |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (114 p.) |
| Soggetto topico |
Biology, life sciences
Research & information: general Technology, engineering, agriculture |
| Soggetto non controllato |
artificial neural networks
avocado botanical origin classification consumer acceptance prediction consumer science cultivars data fusion deep learning emotion recognition facial expression recognition flavor lexicon galvanic skin response long short-term memory machine learning machine learning modeling n/a natural language processing near infra-red spectroscopy neural networks physicochemical measurements physicochemical parameters preference mapping sensory sensory analysis sensory descriptive analysis sensory evaluation sensory science unifloral honeys weather wine quality |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566478503321 |
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Fuentes Sigfredo
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Implementation of Digital Technologies on Beverage Fermentation
| Implementation of Digital Technologies on Beverage Fermentation |
| Autore | Viejo Claudia Gonzalez |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (220 p.) |
| Soggetto topico |
Biology, life sciences
Research and information: general Technology, Engineering, Agriculture, Industrial processes |
| Soggetto non controllato |
antioxidants
aroma thresholds artificial neural networks augmented reality automated image analysis automation beer acceptability beer fermentation biogenic amines black pepper bushfires cell size climate change computer vision consumer acceptability contexts emotional responses fermentation Fermentation foam retention foam stability focus group gas sensors ginger glycoconjugates heat stress herbal tea infusion high throughput hops HPLC image analysis industrial digital technologies Kawakawa lager beer LC-ESI-QTOF-MS/MS lemon liquid chromatography liquid handling robot long short-term memory machine learning medicinal plants metabolite analysis mint n/a non-dairy yogurt off aromas Olea europaea polyphenols principal component analysis respiration rate RoboBEER robotic pourer sensor networks sparkling wine stochastic dynamic optimisation storage conditions TeeBot transport ultrasonic measurements uncertainty vacuoles volatile phenols wine quality yeast morphology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566460503321 |
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Viejo Claudia Gonzalez
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Information Theory and Machine Learning
| Information Theory and Machine Learning |
| Autore | Zheng Lizhong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (254 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
supervised classification
independent and non-identically distributed features analytical error probability empirical risk generalization error K-means clustering model compression population risk rate distortion theory vector quantization overfitting information criteria entropy model-based clustering merging mixture components component overlap interpretability time series prediction finite state machines hidden Markov models recurrent neural networks reservoir computers long short-term memory deep neural network information theory local information geometry feature extraction spiking neural network meta-learning information theoretic learning minimum error entropy artificial general intelligence closed-loop transcription linear discriminative representation rate reduction minimax game fairness HGR maximal correlation independence criterion separation criterion pattern dictionary atypicality Lempel–Ziv algorithm lossless compression anomaly detection information-theoretic bounds distribution and federated learning |
| ISBN | 3-0365-5308-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619463403321 |
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Zheng Lizhong
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Innovative Topologies and Algorithms for Neural Networks
| Innovative Topologies and Algorithms for Neural Networks |
| Autore | Xibilia Maria Gabriella |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (198 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
3D convolution neural network
action recognition alternative fusion neural network Arabic named entity recognition attention mechanism autoencoders bidirectional gated recurrent unit bidirectional recurrent neural network Chinese text classification CNN convolution neural Networks convolutional neural network convolutional neural networks deep convolutional neural networks deep learning distributed systems elements recognition embedded deep learning facial image analysis facial nerve paralysis feature fusion fully convolutional network fused features gesture recognition gradient-weighted class activation maps graph convolutional network graph partitioning GRU human computer interaction image classification Internet of Things IoT (Internet of Thing) systems linguistic features long short-term memory long short-term-memory long-short-term memory networks LSTM LSTM-CRF model medical applications motion map multi-label learning natural language processing object detection network object recognition pedestrian attribute recognition POS syntactic rules resource-efficient inference scalability sentiment analysis sentiment attention mechanism ship identification text recognition tooth-marked tongue word embedding |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557553903321 |
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Xibilia Maria Gabriella
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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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