Ohcanbohtosat - random from algorithm
Fáddáevttohusat
Fáddáevttohusat
- machine learning 36
- n/a 33
- thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general 27
- random forest 25
- deep learning 24
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 22
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues 18
- remote sensing 14
- artificial intelligence 13
- genetic algorithm 11
- classification 10
- optimization 10
- Sentinel-2 9
- convolutional neural network 9
- convolutional neural networks 9
- simulation 9
- thema EDItEUR::P Mathematics and Science 9
- COVID-19 8
- T1-995 8
- artificial neural network 8
- neural network 8
- sustainability 8
- uncertainty 8
- MODIS 7
- TA1-2040 7
- UAV 7
- image classification 7
- numerical simulation 7
- support vector machine 7
- thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography 7
Dárkkuhitgo:
- algorithm »
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Soft Computing and Machine Learning in Dam Engineering
Almmustuhtton 2023Viečča ollesdeavstta
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Earth Observation (EO), Remote Sensing (RS), and Geoinformation (GI) Applications in Svalbard
Almmustuhtton 2023Fáttát: “…random forest…”
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Distributional Reinforcement Learning
Almmustuhtton 2023“…They guide the reader through a series of algorithmic and mathematical developments that, in turn, characterize, compute, estimate, and make decisions on the basis of the random return. …”
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Chapter Ammonia emissions and fine particulate matter: some evidence in Lombardy
Almmustuhtton 2023“…The first results are based on spatio-temporal Kriging models, with external drift, and an extension of the traditional random forest algorithm to consider the spatial and temporal correlation. …”
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Various Deep Learning Algorithms in Computational Intelligence
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Advanced Machine Learning Applications in Big Data Analytics
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Advances in Agricultural Engineering Technologies and Application
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Advances in Agricultural Engineering Technologies and Application
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Crops and Vegetation Monitoring with Remote/Proximal Sensing
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Novel Applications of Optical Sensors and Machine Learning in Agricultural Monitoring
Almmustuhtton 2024Viečča ollesdeavstta
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