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Assessment of Renewable Energy Resources with Remote Sensing
| Assessment of Renewable Energy Resources with Remote Sensing |
| Autore | Martins Fernando Ramos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (244 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
artificial neural networks
Baltic area climate cloud cloud coverage cloud detection coastal wind measurements coastline computational design method convection CSP plants data processing digitized image processing electrical resistivity tomography extreme value analysis feature engineering feature importance forecasting geophysical prospecting geothermal energy GES-CAL software global radiation graphical user interface software Hazaki Oceanographical Research Station hydropower reservoir image processing lake breeze influence light gradient boosting machine machine learning machine learning techniques metaheuristic multistep-ahead prediction parameter extraction passive design strategy photovoltaic power plant plan position indicator point cloud data potential well field location remote sensing remote sensing data acquisition renewable energy resource assessment and forecasting satellite scanning LiDAR scatterometer shading envelopes sky camera smart island solar energy solar energy resource solar irradiance enhancement solar irradiance estimation solar irradiance forecasting solar photovoltaic solar radiation forecasting statistical analysis surface solar radiation time domain electromagnetic method total sky imagery velocity volume processing voxel-design approach whale optimization algorithm wind speed |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557427903321 |
Martins Fernando Ramos
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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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Potential Health Benefits of Fruits and Vegetables
| Potential Health Benefits of Fruits and Vegetables |
| Autore | Mazzoni Luca |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (210 p.) |
| Soggetto topico |
Biology, life sciences
Research & information: general Technology, engineering, agriculture |
| Soggetto non controllato |
ABTS
AGEs agrobiodiversity allicin Allium sativum anthocyanins antioxidant activity antioxidant capacity antioxidant property apple apricot bioactive compounds blood glucose Brassica spp common cold conventional farming cultivar × environmental interaction cultivation techniques DPPH elderberry enzyme activity F2-isoprostanes flavonoids Fragaria × ananassa fuji garlic genetic distance genotypic and phenotypic correlation global radiation glucosinolates grape extract Gynura bicolor health benefits heavy metals HPLC hydroxytyrosol immunomodulation influenza-like illness interleukins latitude LC-ESI-QTOF-MS/MS market food trends medicinal properties Mediterranean diet methyl jasmonate n/a nutraceutical value oleuropein olive extract olive polyphenols organic farming oxidative stress phenolic compounds phenolics phytochemical phytochemical compounds pink lady postharvest quality prediabetes randomized controlled trial rats red delicious reishi respiratory infection symptoms respiratory tract infections risk assessment royal gala salicylic acid sepsis smitten sustainability temperature thiosulfinate trace elements UPGMA vegetables wild edible greens |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557572403321 |
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Mazzoni Luca
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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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