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