Atom Cloud Detection and Segmentation Using a Deep Neural Network (Data)

Atom Cloud Detection and Segmentation Using a Deep Neural Network (Data)

The data for the the paper "Atom Cloud Detection and Segmentation Using a Deep Neural Network." See the readme file in the .zip file for a detailed explanation of the data contents and structure.

Bibliográfalaš dieđut
Váldodahkkit:	Hofer, L R, Krstajic, M, Juhász, P, Marchant, A L, Smith, R P
Materiálatiipa:	Dataset
Giella:	English
Almmustuhtton:	University of Oxford 2021
Fáttát:	Machine learning

Geahča maid

Atom cloud detection and segmentation using a deep neural network
Dahkki: Hofer, LR, et al.
Almmustuhtton: (2021)

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Almmustuhtton: (2022)

Evaluation of Deep Learning-Based Neural Network Methods for Cloud Detection and Segmentation
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Measuring laser beams with a neural network
Dahkki: Hofer, LR, et al.
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Characterization of three-body loss in 166Er and optimized production of large Bose-Einstein condensates
Dahkki: Krstajić, M, et al.
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How to realise a homogeneous dipolar Bose gas in the roton regime (data)
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Almmustuhtton: (2023-02-01)

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Dahkki: Gaetano Scebba, et al.
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MULTI-SOURCE POINT CLOUD SEMANTIC SEGMENTATION USING NEURAL NETWORK
Dahkki: J. Montlahuc, et al.
Almmustuhtton: (2022-05-01)

Hyperband Tuned Deep Neural Network With Well Posed Stacked Sparse AutoEncoder for Detection of DDoS Attacks in Cloud
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Almmustuhtton: (2020-01-01)

Comparison of Current Deep Convolutional Neural Networks for the Segmentation of Breast Masses in Mammograms
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Dahkki: Gianluca Giuffrida, et al.
Almmustuhtton: (2020-07-01)

Using Deep Convolutional Neural Networks for Neonatal Brain Image Segmentation
Dahkki: Yang Ding, et al.
Almmustuhtton: (2020-03-01)

Hybridizing Deep Neural Networks and Machine Learning Models for Aerial Satellite Forest Image Segmentation
Dahkki: Clopas Kwenda, et al.
Almmustuhtton: (2024-05-01)

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Phase Segmentation in Atom-Probe Tomography Using Deep Learning-Based Edge Detection
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Dahkki: Mohammadamin Salimi, et al.
Almmustuhtton: (2022-06-01)

Cloud and Snow Segmentation in Satellite Images Using an Encoder–Decoder Deep Convolutional Neural Networks
Dahkki: Kai Zheng, et al.
Almmustuhtton: (2021-07-01)

Detecting Cryptojacking Web Threats: An Approach with Autoencoders and Deep Dense Neural Networks
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Almmustuhtton: (2022-03-01)

Data Preparation Impact on Semantic Segmentation of 3D Mobile LiDAR Point Clouds Using Deep Neural Networks
Dahkki: Reza Mahmoudi Kouhi, et al.
Almmustuhtton: (2023-02-01)

Cloud-Based Cyber-Physical Intrusion Detection for Vehicles Using Deep Learning
Dahkki: George Loukas, et al.
Almmustuhtton: (2018-01-01)

SEMANTIC SEGMENTATION OF INDOOR POINT CLOUDS USING CONVOLUTIONAL NEURAL NETWORK
Dahkki: K. Babacan, et al.
Almmustuhtton: (2017-11-01)

CloudY-Net: A Deep Convolutional Neural Network Architecture for Joint Segmentation and Classification of Ground-Based Cloud Images
Dahkki: Feiyang Hu, et al.
Almmustuhtton: (2023-09-01)

Deep Segmentation of Point Clouds of Wheat
Dahkki: Morteza Ghahremani, et al.
Almmustuhtton: (2021-03-01)

THE SEGMENTATION OF POINT CLOUDS WITH K-MEANS AND ANN (ARTIFICAL NEURAL NETWORK)
Dahkki: R. A. Kuçak, et al.
Almmustuhtton: (2017-05-01)

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Fast Cloud Segmentation Using Convolutional Neural Networks
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Almmustuhtton: (2018-11-01)

Aerosol and Cloud Detection Using Machine Learning Algorithms and Space-Based Lidar Data
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