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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 electronic resource (206 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
automated dietary monitoring
eating detection eating timing error analysis biomedical signal processing smart eyeglasses wearable health monitoring artificial neural network joint moment prediction extreme learning machine Hill muscle model online input variables Review ECG Signal Processing Machine Learning Cardiovascular Disease Anomaly Detection photoplethysmography motion artifact independent component analysis multi-wavelength continuous arterial blood pressure systolic blood pressure diastolic blood pressure deep convolutional autoencoder genetic algorithm electrocardiography vectorcardiography myocardial infarction long short-term memory spline multilayer perceptron pain detection stress detection wearable sensor physiological signals behavioral signals non-invasive system hemodynamics arterial blood pressure central venous pressure pulmonary arterial pressure intracranial pressure heart rate measurement remote HR remote PPG remote BCG blind source separation drowsiness detection EEG frequency-domain features multicriteria optimization machine learning |
| 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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Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing
| Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing |
| Autore | Lee Saro |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (438 p.) |
| Soggetto non controllato |
artificial neural network
model switching sensitivity analysis neural networks logit boost Qaidam Basin land subsidence land use/land cover (LULC) naïve Bayes multilayer perceptron convolutional neural networks single-class data descriptors logistic regression feature selection mapping particulate matter 10 (PM10) Bayes net gray-level co-occurrence matrix multi-scale Logistic Model Trees classification Panax notoginseng large scene coarse particle grayscale aerial image Gaofen-2 environmental variables variable selection spatial predictive models weights of evidence landslide prediction random forest boosted regression tree convolutional network Vietnam model validation colorization data mining techniques spatial predictions SCAI unmanned aerial vehicle high-resolution texture spatial sparse recovery landslide susceptibility map machine learning reproducible research constrained spatial smoothing support vector machine random forest regression model assessment information gain ALS point cloud bagging ensemble one-class classifiers leaf area index (LAI) landslide susceptibility landsat image ionospheric delay constraints spatial spline regression remote sensing image segmentation panchromatic Sentinel-2 remote sensing optical remote sensing materia medica resource GIS precise weighting change detection TRMM traffic CO crop training sample size convergence time object detection gully erosion deep learning classification-based learning transfer learning landslide traffic CO prediction hybrid model winter wheat spatial distribution logistic alternating direction method of multipliers hybrid structure convolutional neural networks geoherb predictive accuracy real-time precise point positioning spectral bands |
| ISBN | 3-03921-216-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367564103321 |
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Lee Saro
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Advances in Indoor Localization Systems and Technologies
| Recent Advances in Indoor Localization Systems and Technologies |
| Autore | Simon Gyula |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (502 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
filter
finite memory structure infinite memory structure smoother target tracking Indoor Positioning System WLAN C-Means K-Means Access Point Selection RSS-fingerprint smartphone pedestrian dead reckoning heading estimation autoregressive model adaptive Kalman filter indoor localization Wi-Fi received signal strength indicator (RSSI) semisupervised learning feature extraction mobile fingerprinting trajectory learning localization hybrid localization Bluetooth Low Energy extended kalman filter internet of things proximity sensors smartphone sensors pedestrian dead reckoning (PDR) Wi-Fi indoor positioning sensor fusion frameworks Kalman filter location fingerprinting trilateration received signal strength indication (RSSI) indoor positioning 5G system hybrid positioning geometric dilution of precision closed-form solution Cramer-Rao lower bound visually impaired (VI) computer vision deep learning multi-label convolutional support vector machine (M-CSVM) assistive technology visually impaired navigational system indoor navigation markers mobile robots wireless sensor network time of arrival (TOA) NLOS modified probabilistic data association (MPDA) indoor location recognition received signal strength (RSS) Wi-Fi fingerprint positioning deep neural network (DNN) optimization methods adaptive filter hidden Markov models (HMM) I/O detection GPS signal machine learning positioning applications PDR geomagnetic positioning particle filter genetic algorithm Wi-Fi fine timing measurement NLOS identification Gaussian model carrier phase differential pseudolite system extended Kalman filter reliability integrity monitoring transparent obstacle recognition reflection noise laser range finder path planning mobile robot automated data acquisition remote sensing technologies automated progress reporting data fusion tracking resources bearing estimation azimuth estimation signal processing position estimation photodiode array indoor ranging algorithm channel state information received signal strength indicator VPR fusion navigation UWB multi-path detection NLOS and MP discrimination SVM random forest multilayer perceptron LOS DWM1000 fingerprinting smart buildings mobile devices indoor localization technologies model based techniques quality control |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557333003321 |
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Simon Gyula
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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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Selected paper from 6th International Conference on Renewable Energy Sources (ICoRES 2019)
| Selected paper from 6th International Conference on Renewable Energy Sources (ICoRES 2019) |
| Autore | Jewiarz Marcin |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (238 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
disc-mill
efficiency carbon dioxide rice corn grinding refuse-derived fuel refuse-derived fuel (RDF) pellets durability density die design CFD combustion simulation stove thermal measurements cylindrical LED light coat tracking lighting photosynthetic microorganisms photobioreactor algae thermosiphon anti-gravity bubble pump solar collector passive heat transport exploitation of energy sources heating and ventilation systems pollutant emissions reduction of pollutant emissions single-family houses spent coffee grounds sawdust calorific value combustion laboratory-scale efficiency industrial-scale efficiency biomass conversion Biochemical Methane Potential Correction Coefficient loss prevention finite element modeling thermal imbalance of the ground source small-scale thermal energy storage FEFLOW ground source heat pump Borehole Heat Exchanger (BHE) decision support system briquettes production willow Miscanthus artificial neural network multilayer perceptron drying compaction biomass mechanical durability specific density Scots pine biogas renewable energy poultry slaughterhouse waste management pressure compaction moisture content solid density Cup plant Virginia mallow Giant miscanthus perennial biomass greenhouse gases agriculture slow release fertilizers Chinese cabbage |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Selected paper from 6th International Conference on Renewable Energy Sources |
| Record Nr. | UNINA-9910557112203321 |
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Jewiarz Marcin
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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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