Assessment of the Degree of Building Damage Caused by Using Convolutional Neural Networks in Combination With Ordinal Regression

Remote Sensing - Switzerland
doi 10.3390/rs11232858
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MDPI AG

Related search

Image Recognition by Convolutional Neural Networks With Using Keras Library

Mining Journal of Kryvyi Rih National University
2018English

Automated Performance Assessment in Transoesophageal Echocardiography With Convolutional Neural Networks

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2018English

Fungus Detection Using Convolutional Neural Networks

International Journal of Scientific Research in Computer Science, Engineering and Information Technology
2019English

Speech Recognition Using Convolutional Neural Networks

International Journal of Engineering and Technology(UAE)
ArchitectureHardwareEngineeringChemical EngineeringBiotechnologyEnvironmental EngineeringComputer Science
2018English

Visual Modeling of Data Using Convolutional Neural Networks

International Journal of Engineering and Advanced Technology
EngineeringComputer Science ApplicationsEnvironmental Engineering
2019English

Road Condition Classification Using Convolutional Neural Networks

Studia Universitatis Babeș-Bolyai Informatica
2019English

Automated Fundus Image Quality Assessment and Segmentation of Optic Disc Using Convolutional Neural Networks

International Journal of Electrical and Computer Engineering
Electronic EngineeringElectricalComputer Science
2020English

Subject:Specific Detection of Ventricular Tachycardia Using Convolutional Neural Networks

2016English

Intracerebral EEG Artifact Identification Using Convolutional Neural Networks

Neuroinformatics
NeuroscienceInformation SystemsSoftware
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy