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Data from: Using deep learning to quantify the beauty of outdoor places
- 负责人：
- DOI：
- doi:10.5061/dryad.rq4s3
- 摘要：
- ces Convolutional Neural Network, might help us understand what beautiful outdoor spaces are composed of. We discover that, as well as natural features such as ‘Coast’, ‘Mountain
Data from: A convolutional neural network for detecting sea turtles in drone imagery
- 负责人：
- Gray, Patrick C.
- 关键词：
- convolutional neural networks deep learning for ecology marine megafauna marine population monitoring object detection sea turtles unoccupied aircraft systems
- DOI：
- doi:10.5061/dryad.5h06vv2
- 摘要：
- ted in the images or video acquired during each flight. Neural networks are emerging as a powerful tool for automating object detection across data domains
Data from: Drones and convolutional neural networks facilitate automated and accurate cetacean species identification and photogrammetry
- 负责人：
- DOI：
- doi:10.5061/dryad.7482v2n
- 摘要：
- me required to apply these techniques. Here, we introduce the next generation of photogrammetry methods utilizing a convolutional neural network to demonstra
Data from: Accurate inference of tree topologies from multiple sequence alignments using deep learning
- 负责人：
- DOI：
- doi:10.5061/dryad.ct2895s
- 摘要：
- techniques have made inroads on a number of both new and longstanding problems in biological research. Here we designed a deep convolutional neural network
Data from: High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: applicati
- 负责人：
- 关键词：
- learning;image analysis;Invasive tumors;Histopathology;Neurons;Neural networks;Imaging techniques
- DOI：
- doi:10.5061/dryad.1g2nt41
- 摘要：
- ding. Convolutional neural network (CNN) is the most popular representation learning method for computer vision tasks, which have been successfully applied in digital
Data from: Improving automated annotation of benthic survey images using wide-band fluorescence
- 负责人：
- DOI：
- doi:10.5061/dryad.t4362
- 摘要：
- d on convolutional neural networks was developed. Our results demonstrate a 22% reduction of classification error-rate when using both images types compared to only using reflectance
Data from: CORIGAN: Assessing multiple species and interactions within images
- 负责人：
- DOI：
- doi:10.5061/dryad.t03b7b8
- 摘要：
- and non?trophic interactions network describing the studied community. 4.CORIGAN relies on generic properties of the detected animals and can be used for a wide range of studies
Data from: Deep learning for bridge load capacity estimation in post-disaster and -conflict zones
- 负责人：
- DOI：
- doi:10.5061/dryad.6br51tn
- 摘要：
- mate the load carrying capacity from crowd sourced images. A new convolutional neural network architecture is trained on data from over 6000 bridges, which will bene
Monitoring crop health, growth and its stand count attributes using UAV based precision agriculture: a study in tropical farmland of Thailand
- 负责人：
- Teerayut Horanont, Advisor
- 关键词：
- NDVI Modified infrared CMOS sensor UAV photogrammetry Multi-temporal CSM Crop growth Deep-learning Object detection Crop Counting
- DOI：
- doi:10.14457/tu.the.2017.344
- 摘要：
- in an aerial imagery. The convolutional neural network implemented in this study was based open source tensorflow implementation of the darknet framework named, Darkflow
Data from: Unsupervised machine learning reveals mimicry complexes in bumble bees occur along a perceptual continuum
- 负责人：
- DOI：
- doi:10.5061/dryad.sd7cd06
- 摘要：
- on spatially, rather than exhibit discrete boundaries. Additionally, examination of colour pattern transition zones of three comimicking, polymorphic species
