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Metalearning : Applications to Automated Machine Learning and Data Mining
| Metalearning : Applications to Automated Machine Learning and Data Mining |
| Autore | Brazdil Pavel |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
| Descrizione fisica | 1 online resource (349 pages) |
| Disciplina | 006.31 |
| Altri autori (Persone) |
van RijnJan N
SoaresCarlos VanschorenJoaquin |
| Collana | Cognitive Technologies |
| Soggetto topico |
Artificial intelligence
Data mining Machine learning |
| Soggetto non controllato |
Metalearning
Automating Machine Learning (AutoML) Machine Learning Artificial Intelligence algorithm selection algorithm recommendation algorithm configuration hyperparameter optimization automating the workflow/pipeline design metalearning in ensemble construction metalearning in deep neural networks transfer learning algorithm recommendation for data streams automating data science Open Access |
| ISBN | 3-030-67024-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464544803316 |
Brazdil Pavel
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| Cham, : Springer Nature, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Metalearning : Applications to Automated Machine Learning and Data Mining
| Metalearning : Applications to Automated Machine Learning and Data Mining |
| Autore | Brazdil Pavel |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
| Descrizione fisica | 1 online resource (349 pages) |
| Disciplina | 006.31 |
| Altri autori (Persone) |
van RijnJan N
SoaresCarlos VanschorenJoaquin |
| Collana | Cognitive Technologies |
| Soggetto topico |
Artificial intelligence
Data mining Machine learning Aprenentatge automàtic Mineria de dades |
| Soggetto genere / forma | Llibres electrònics |
| Soggetto non controllato |
Metalearning
Automating Machine Learning (AutoML) Machine Learning Artificial Intelligence algorithm selection algorithm recommendation algorithm configuration hyperparameter optimization automating the workflow/pipeline design metalearning in ensemble construction metalearning in deep neural networks transfer learning algorithm recommendation for data streams automating data science Open Access |
| ISBN | 3-030-67024-4 |
| Classificazione | COM004000COM021030 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910548277503321 |
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Brazdil Pavel
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| Cham, : Springer Nature, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing for Precision Nitrogen Management
| Remote Sensing for Precision Nitrogen Management |
| Autore | Miao Yuxin |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (602 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
| Soggetto non controllato |
UAS
multiple sensors vegetation index leaf nitrogen accumulation plant nitrogen accumulation pasture quality airborne hyperspectral imaging random forest regression sun-induced chlorophyll fluorescence (SIF) SIF yield indices upward downward leaf nitrogen concentration (LNC) wheat (Triticum aestivum L.) laser-induced fluorescence leaf nitrogen concentration back-propagation neural network principal component analysis fluorescence characteristics canopy nitrogen density radiative transfer model hyperspectral winter wheat flooded rice pig slurry aerial remote sensing vegetation indices N recommendation approach Mediterranean conditions nitrogen vertical distribution plant geometry remote sensing maize UAV multispectral imagery LNC non-parametric regression red-edge NDRE dynamic change model sigmoid curve grain yield prediction leaf chlorophyll content red-edge reflectance spectral index precision N fertilization chlorophyll meter NDVI NNI canopy reflectance sensing N mineralization farmyard manures Triticum aestivum discrete wavelet transform partial least squares hyper-spectra rice nitrogen management reflectance index multiple variable linear regression Lasso model Multiplex®3 sensor nitrogen balance index nitrogen nutrition index nitrogen status diagnosis precision nitrogen management terrestrial laser scanning spectrometer plant height biomass nitrogen concentration precision agriculture unmanned aerial vehicle (UAV) digital camera leaf chlorophyll concentration portable chlorophyll meter crop PROSPECT-D sensitivity analysis UAV multispectral imagery spectral vegetation indices machine learning plant nutrition canopy spectrum non-destructive nitrogen status diagnosis drone multispectral camera SPAD smartphone photography fixed-wing UAV remote sensing random forest canopy reflectance crop N status Capsicum annuum proximal optical sensors Dualex sensor leaf position proximal sensing cross-validation feature selection hyperparameter tuning image processing image segmentation nitrogen fertilizer recommendation supervised regression RapidSCAN sensor nitrogen recommendation algorithm in-season nitrogen management nitrogen use efficiency yield potential yield responsiveness standard normal variate (SNV) continuous wavelet transform (CWT) wavelet features optimization competitive adaptive reweighted sampling (CARS) partial least square (PLS) grapevine hyperparameter optimization multispectral imaging precision viticulture RGB multispectral coverage adjusted spectral index vegetation coverage random frog algorithm active canopy sensing integrated sensing system discrete NIR spectral band data soil total nitrogen concentration moisture absorption correction index particle size correction index coupled elimination |
| ISBN | 3-0365-5710-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637794503321 |
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Miao Yuxin
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sustainable Agriculture and Advances of Remote Sensing (Volume 1)
| Sustainable Agriculture and Advances of Remote Sensing (Volume 1) |
| Autore | Paraforos Dimitrios |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (324 p.) |
| Soggetto topico |
Geography
Research & information: general |
| Soggetto non controllato |
1D convolution neural networks
3D bale wrapping method 3D Convolutional Neural Network agricultural monitoring agriculture algorithms anomaly intrusion detection artificial neural network autonomous robots band selection Bidirectional long-short term memory Boufakrane River watershed canopy conductance CCA chlorophyll a chlorophyll-a concentration climate change clustering CNN coastal management Coatzacoalcos Comino computer vision convolutional neural networks Copernicus Sentinels crop classification crop fields crop mapping crop yield improvement crops crops diseases cubic SVM cucumber data analysis data augmentation data fusion deep learning deep transfer learning density estimation dissolved oxygen drone entropy environmental monitoring environmental protection equal bale dimensions evapotranspiration Explainable Artificial Intelligence Faster R-CNN features fusion food security forest roads geographic information system (GIS) GIS Google Earth Engine Gozo green ring green technologies guava disease histogram hyperparameter optimization hyperspectral hyperspectral imagery hyperspectral imaging hyperspectral remoting sensing IDS image classification internet of things Internet of Things internode-elongation Interreg invasive plants IoT IoT ecosystem irrigation requirements land use land use classification Land Use/Land Cover Landsat leaf disease LISS-III machine learning machine learning algorithm machine vision Malta mango leaf mathematical model metaheuristic minimal film consumption modeling modeling approach modified normalized difference water index (MNDWI) modular robot multi-temporal data multispectral natural resources NDVI nitrate nitrogen prediction normalized difference vegetation index (NDVI) object-based classification optimal bale dimensions ordinary kriging ordinary Kriging overfitting panicle initiation path planning penman-monteith equation pest control photogrammetry plant disease detection pocket beaches precision agriculture probe proximal sensing random forest rational sampling numbers remote sensing resource constraint RF rice farming rice plant round bales sampling SAR satellite image analysis selective spraying sensor Sentinel 1 and 2 Sentinel-1a Sentinel-2 Sicily simulation site-specific site-specific weed management smart agriculture soil attribute soil pH soil tillage spatial heterogeneity spatial variation sustainable agriculture sustainable environment sustainable land use SVM Synthetic Aperture Radar (SAR) systematic literature review temperature profile time series analysis transfer learning urban flood vein pattern virtual pests Vision Transformer vision-based crop and weed detection water extraction water quality water resources weed YOLOv5 Ziz basin |
| ISBN | 3-0365-5338-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Sustainable Agriculture and Advances of Remote Sensing |
| Record Nr. | UNINA-9910619464703321 |
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Paraforos Dimitrios
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sustainable Agriculture and Advances of Remote Sensing (Volume 2)
| Sustainable Agriculture and Advances of Remote Sensing (Volume 2) |
| Autore | Paraforos Dimitrios |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (322 p.) |
| Soggetto topico |
Geography
Research & information: general |
| Soggetto non controllato |
1D convolution neural networks
3D bale wrapping method 3D Convolutional Neural Network agricultural monitoring agriculture algorithms anomaly intrusion detection artificial neural network autonomous robots band selection Bidirectional long-short term memory Boufakrane River watershed canopy conductance CCA chlorophyll a chlorophyll-a concentration climate change clustering CNN coastal management Coatzacoalcos Comino computer vision convolutional neural networks Copernicus Sentinels crop classification crop fields crop mapping crop yield improvement crops crops diseases cubic SVM cucumber data analysis data augmentation data fusion deep learning deep transfer learning density estimation dissolved oxygen drone entropy environmental monitoring environmental protection equal bale dimensions evapotranspiration Explainable Artificial Intelligence Faster R-CNN features fusion food security forest roads geographic information system (GIS) GIS Google Earth Engine Gozo green ring green technologies guava disease histogram hyperparameter optimization hyperspectral hyperspectral imagery hyperspectral imaging hyperspectral remoting sensing IDS image classification internet of things Internet of Things internode-elongation Interreg invasive plants IoT IoT ecosystem irrigation requirements land use land use classification Land Use/Land Cover Landsat leaf disease LISS-III machine learning machine learning algorithm machine vision Malta mango leaf mathematical model metaheuristic minimal film consumption modeling modeling approach modified normalized difference water index (MNDWI) modular robot multi-temporal data multispectral natural resources NDVI nitrate nitrogen prediction normalized difference vegetation index (NDVI) object-based classification optimal bale dimensions ordinary kriging ordinary Kriging overfitting panicle initiation path planning penman-monteith equation pest control photogrammetry plant disease detection pocket beaches precision agriculture probe proximal sensing random forest rational sampling numbers remote sensing resource constraint RF rice farming rice plant round bales sampling SAR satellite image analysis selective spraying sensor Sentinel 1 and 2 Sentinel-1a Sentinel-2 Sicily simulation site-specific site-specific weed management smart agriculture soil attribute soil pH soil tillage spatial heterogeneity spatial variation sustainable agriculture sustainable environment sustainable land use SVM Synthetic Aperture Radar (SAR) systematic literature review temperature profile time series analysis transfer learning urban flood vein pattern virtual pests Vision Transformer vision-based crop and weed detection water extraction water quality water resources weed YOLOv5 Ziz basin |
| ISBN | 3-0365-5336-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Sustainable Agriculture and Advances of Remote Sensing |
| Record Nr. | UNINA-9910619464803321 |
|
Paraforos Dimitrios
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||