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Segmentation of EM showers for neutrino experiments with deep graph neural networks
IOP Institute of Physics | 2021| -
Learning velocity model for complex media with deep convolutional neural networks
Free accessArXiv | 2021| -
Estimating wheat biomass by combining image clustering with crop height
British Library Online Contents | 2016| -
Identifizierung von Beifußblättriger Ambrosie (Ambrosia artemisiifolia) mittels Bildverarbeitung in einem Winterroggenfeld
British Library Online Contents | 2015| -
Bestimmung von Pflanzenparametern mit Hilfe von digitalen Farbbildern für eine sensorgesteuerte Applikation von Fungiziden in Getreide
British Library Online Contents | 2013| -
Learning Velocity Model for Complex Media with Deep Convolutional Neural Networks
Springer Verlag | 2024| -
Dynamic testing equipment for evaluation of time consumption for the forms of reasoning of a human-operator
American Institute of Physics | 2019| -
HIGH-FREQUENCY GENERATOR BASED ON PULSED EXCITATION OF THE OSCILLATING CIRCUIT FOR BIOLOGICAL DECONTAMINATION
British Library Conference Proceedings | 2013| -
Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks
Free accessBASE | 2019|Contributors: Ustyuzhanin, A. -
Discovery potential for directional Dark Matter detection with nuclear emulsions
Free accessNEWSdm CollaborationSpringer Verlag | 2018| -
Discovery potential for directional Dark Matter detection with nuclear emulsions
Free accessArXiv | 2017| -
Discovery potential for directional Dark Matter detection with nuclear emulsions
Free accessBASE | 2018| -
Discovery potential for directional Dark Matter detection with nuclear emulsions
Free accessOnline Contents | 2018| -
Directional sensitivity of the NEWSdm experiment to cosmic ray boosted dark matter
Free accessIOP Institute of Physics | 2023|
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