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  • Search Condition : Filter (MeSH = Neural Networks, Computer*)
Species Resource Title
Wheat KU-2109 , KU-2113 , KU-2115 , KU-2116 , KU-2120 , KU-2121 , KU-2131 , KU-2132 , KU-2133 , KU-2136 f4-statistics-based ancestry profiling and convolutional neural network phenotyping shed new light on the structure of genetic and spike shape diversity in Aegilops tauschii Coss.
Human and Animal Cells 409B2(HPS0076) BiœmuS: A new tool for neurological disorders studies through real-time emulation and hybridization using biomimetic Spiking Neural Network.
C.elegans tm1356 Cross-species behavior analysis with attention-based domain-adversarial deep neural networks.
Cord blood stem cells for research Prediction for Morphology and States of Stem Cell Colonies using a LSTM Network with Progressive Training Microscopy Images.
Japanese macaques A convolutional neural network for estimating synaptic connectivity from spike trains.
Clawed frogs / Newts A rapid segmentation method of cell boundary for developing embryos using machine learning with a personal computer.
GBIF Akita Prefectural Museum, Hiroki Watanabe Collection , Insect Collection of Yokosuka City Museum , Insect specimens of Kashihara City Museum of Insect , AIS Wildtype Populations of Arabidopsis , Fish collection of National Museum of Nature and Science , Entomological Specimens of Museum of Nature and Human Activities, Hyogo Pref., Japan Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment.
Cord blood stem cells for research Human Induced Pluripotent Stem Cell Reprogramming Prediction in Microscopy Images using LSTM based RNN.
Human and Animal Cells 201B7(HPS0063) Deep vector-based convolutional neural network approach for automatic recognition of colonies of induced pluripotent stem cells.