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Arid Land Systems: Sciences and Societies
| Arid Land Systems: Sciences and Societies |
| Autore | Ahearn Ariell |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (380 p.) |
| Soggetto non controllato |
regeneration
drylands invasive vine riparian ecosystems Kazakhstan Mongolian grassland human health charisma water rights political ecology the Hovmoller diagram Mongolia common-pool resource desertification afforestation continuous grazing arid area tamarind age land use change mountains of Central Asia soil carbon storage social movements case study of nomadic and settlement grazing system Afar protest social–ecological systems Central Asia Asian dust subarctic agriculture Jordan River Basin conservation protected areas water productivity national parks disturbance dryland increase of growing season Sanjiangyuan region policy implementation partnerships snow index global carbon balance dust storm emission Jordan One Belt local farming decoupling water security environmental impacts groundwater Kashgar Region Gobi Palestine degrading property rights One Road aerodynamic roughness Israel desert fodder demand spatial migration model vegetation survey agricultural water intensity dry lake beds LUCC communal rangelands subversive clientelism Tibetan Plateau ecotone river basin development livestock environmental justice computational fluid dynamics Japan remote sensing climate hazard mining Chobe modelling sustainable livelihoods water pastoralism environmental regime shift erosion institutional change Gobi desert of Mongolia Cuchillas de la Zarca non-linear change Ethiopia cross correlation analysis farming at its limits absence New Silk Road drag partition cellular automata agriculture China SPOT VGT grass height co-management Belt and Road Initiative wind erosion modelling Kyrgyzstan KAZA dust storm outbreak coverage desert reclamation nomadic pastoralism fodder supply soil quality index vegetation response to precipitation driving forces grassland degradation environment Nyangatom rotational grazing drought Asia infrastructure Southern Africa Gobi Desert region Sonoran desert South Omo arid region land cover/land use drip irrigation risk air temperature increase the Shiyang River Basin forest resources landscape ecosystem services Greenland economic valuation |
| ISBN | 3-03921-348-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Arid Land Systems |
| Record Nr. | UNINA-9910367567603321 |
Ahearn Ariell
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Analytics and Applications of the Wearable Sensors in Healthcare
| Data Analytics and Applications of the Wearable Sensors in Healthcare |
| Autore | Syed Abdul Shabbir |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (498 p.) |
| Soggetto topico |
Humanities
Social interaction |
| Soggetto non controllato |
eHealth
wearable monitoring services integration IoT Telemedicine wearable sensors multivariate analysis longitudinal study functional decline exercise intervention accidental falls fall detection real-world signal analysis performance measures non-wearable sensors accelerometers cameras machine learning smart textiles healthcare talking detection activity recognition and monitoring patient health and state monitoring wearable sensing orientation-invariant sensing motion sensors accelerometer gyroscope magnetometer pattern classification artificial intelligence supervised machine learning predictive analytics hemodialysis non-contact sensor heart rate respiration rate heart rate variability time-domain features frequency-domain features principal component analysis behaviour analysis classifier efficiency personal risk detection one-class classification actigraphy encoding data compression denoising edge computing signal processing wearables activity monitoring citizen science cluster analysis physical activity sedentary behavior walking energy expenditure wearable device impedance pneumography neural network mechanocardiogram (MCG) smart clothes heart failure (HF) left ventricular ejection fraction (LVEF) technology acceptance model (TAM) physical activity classification free-living GENEactiv accelerometer Gaussian mixture model hidden Markov model wavelets skill assessment deep learning LSTM state space model probabilistic inference latent features human activity recognition MIMU genetic algorithm feature selection classifier optimization bispectrum entropy feature extraction heat stroke filtering algorithm physiological parameters exercise experiment biomedical signal processing wearable biomedical sensors wireless sensor network respiratory monitoring optoelectronic plethysmography biofeedback biomedical technology exercise therapy orthopedics mobile health qualitative human factors inertial measurement unit disease prevention occupational healthcare P-Ergonomics precision ergonomics musculoskeletal disorders wellbeing at work electrocardiogram conductive gels noncontact electrode myocardial ischemia pacemaker ventricular premature contraction upper extremity motion action research arm test activities of daily living IoT wearable monitor health posture analysis spinal posture wearable sensor embedded system recurrent neural networks physical workload wearable systems for healthcare machine learning for real-time applications actigraph body worn sensors clothing sensors cross correlation analysis healthcare movement sensing wearable devices calibration inertial measurement units human movement physical activity type real-life GPS GIS |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557288603321 |
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Syed Abdul Shabbir
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||