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Chemical, Mineralogical and Isotopic Studies of Diagenesis of Carbonate and Clastic Sediments
| Chemical, Mineralogical and Isotopic Studies of Diagenesis of Carbonate and Clastic Sediments |
| Autore | Al-Aasm Ihsan |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (218 p.) |
| Soggetto topico | Research and information: general |
| Soggetto non controllato |
authigenic minerals
bipyramidal quartz carbonate reservoirs clay minerals deltaic sequence Devonian diagenesis diagenetic Environment diagenetic proxies diagenetic settings dolomitization Eboliang fluid composition fractures geochemical glacial period Huron Domain hydrothermal circulation hydrothermal dolomite Iberian Range karst major elements meteoric diagenesis Michigan Basin n/a NE Turkey optical petrography paleoceanographic proxies platform carbonates porosity Provençal Domain pseudohexagonal aragonite Qaidam Basin REE + Y chemistry reservoir quality sedimentary environment sedimentation silicification Silurian trace elements Triassic-Jurassic successions Upper Triassic |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557441703321 |
Al-Aasm Ihsan
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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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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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