Hakutulokset - improved difference relation algorithm*
Aihe-ehdotuksia
Aihe-ehdotuksia
- n/a 10
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues 10
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 10
- machine learning 6
- thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general 5
- deep learning 4
- Q1-390 3
- convolutional neural network (CNN) 3
- convolutional neural networks 3
- drone 3
- energy efficiency 3
- image processing 3
- neural network 3
- renewable energy sources 3
- thema EDItEUR::P Mathematics and Science 3
- thema EDItEUR::U Computing and Information Technology::UY Computer science 3
- 5G 2
- CNN 2
- ITS 2
- IoT 2
- SDN 2
- T1-995 2
- TA1-2040 2
- UAV 2
- accuracy 2
- autonomous vehicle 2
- biomass 2
- climate change 2
- computer vision 2
- deep neural network 2
Tarkoititko:
- difference relation »
- improved »
- algorithm* »
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Soil Erosion and Sustainable Land Management (SLM)
Julkaistu 2022“…The first part deals with assessment of soil erosion that covers historical sediment dating to understand past environmental impacts due to tillage; laboratory simulation to clarify the effect of soil surface microtopography; integrated field observation and the random forest machine learning algorithm to assess watershed-scale soil erosion assessment; and developing the sediment delivery distributed (SEDD) model for sub-watershed erosion risk prioritization. …”
Hae kokoteksti
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UAV Photogrammetry and Remote Sensing
Julkaistu 2022“…In addition, photogrammetric data processing has been improved thanks to the combination of new algorithms, e.g., structure from motion (SfM), which solves the collinearity equations without the need for any control point, producing a cloud of points referenced to an arbitrary coordinate system and a full camera calibration, and the multi-view stereopsis (MVS) algorithm, which applies an expanding procedure of sparse set of matched keypoints in order to obtain a dense point cloud. …”
Hae kokoteksti
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Metalearning
Julkaistu 2022“…It can thus help developers improve their algorithms and also develop learning systems that can improve themselves. …”
Hae kokoteksti
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