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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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Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing / Hyung-Sup Jung, Saro Lee
| Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing / Hyung-Sup Jung, Saro Lee |
| Autore | Jung Hyung-Sup |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (438 p.) |
| Soggetto topico | Pharmaceutical chemistry and technology |
| 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 |
9783039212163
3039212168 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367564103321 |
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Jung Hyung-Sup
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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 online resource (502 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
5G system
Access Point Selection adaptive filter adaptive Kalman filter assistive technology automated data acquisition automated progress reporting autoregressive model azimuth estimation bearing estimation Bluetooth Low Energy C-Means carrier phase channel state information closed-form solution computer vision Cramer-Rao lower bound data fusion deep learning deep neural network (DNN) differential pseudolite system DWM1000 extended kalman filter extended Kalman filter feature extraction filter fingerprinting finite memory structure fusion navigation Gaussian model genetic algorithm geomagnetic positioning geometric dilution of precision GPS signal heading estimation hidden Markov models (HMM) hybrid localization hybrid positioning I/O detection indoor localization indoor localization technologies indoor location recognition indoor navigation indoor positioning Indoor Positioning System indoor ranging algorithm infinite memory structure integrity monitoring internet of things K-Means Kalman filter laser range finder localization location fingerprinting LOS machine learning markers mobile devices mobile fingerprinting mobile robot mobile robots model based techniques modified probabilistic data association (MPDA) multi-label convolutional support vector machine (M-CSVM) multi-path detection multilayer perceptron navigational system NLOS NLOS and MP discrimination NLOS identification optimization methods particle filter path planning PDR pedestrian dead reckoning pedestrian dead reckoning (PDR) photodiode array position estimation positioning applications proximity sensors quality control random forest received signal strength (RSS) received signal strength indication (RSSI) received signal strength indicator reflection noise reliability remote sensing technologies RSS-fingerprint semisupervised learning sensor fusion frameworks signal processing smart buildings smartphone smartphone sensors smoother SVM target tracking time of arrival (TOA) tracking resources trajectory learning transparent obstacle recognition trilateration UWB visually impaired visually impaired (VI) VPR Wi-Fi fine timing measurement Wi-Fi fingerprint positioning Wi-Fi indoor positioning Wi-Fi received signal strength indicator (RSSI) wireless sensor network WLAN |
| 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 online resource (238 p.) |
| Soggetto topico | Research and information: general |
| Soggetto non controllato |
agriculture
algae anti-gravity artificial neural network Biochemical Methane Potential Correction Coefficient biogas biomass biomass conversion Borehole Heat Exchanger (BHE) briquettes production bubble pump calorific value carbon dioxide CFD Chinese cabbage combustion combustion simulation compaction corn Cup plant cylindrical LED light coat decision support system density design die disc-mill drying durability efficiency exploitation of energy sources FEFLOW finite element modeling Giant miscanthus greenhouse gases grinding ground source heat pump heating and ventilation systems industrial-scale efficiency laboratory-scale efficiency loss prevention management mechanical durability Miscanthus moisture content multilayer perceptron passive heat transport pellets perennial biomass photobioreactor photosynthetic microorganisms pollutant emissions poultry slaughterhouse waste pressure compaction reduction of pollutant emissions refuse-derived fuel refuse-derived fuel (RDF) renewable energy rice sawdust Scots pine single-family houses slow release fertilizers small-scale thermal energy storage solar collector solid density specific density spent coffee grounds stove thermal imbalance of the ground source thermal measurements thermosiphon tracking lighting Virginia mallow willow |
| 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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