Identifying Images of Invasive Hydrangea Using Pre-Trained Deep Convolutional Neural Networks

International Journal of Control and Automation - South Korea
doi 10.33832/ijca.2019.12.4.02
Full Text
Abstract

Available in full text

Date
Authors
Publisher

NADIA

Related search

Classification of Glandular Cells Using a Pre-Trained Convolutional Neural Network

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019English

Neonatal Seizure Detection Using Deep Convolutional Neural Networks

International Journal of Neural Systems
MedicineComputer NetworksCommunications
2019English

“Texting & Driving” Detection Using Deep Convolutional Neural Networks

Applied Sciences (Switzerland)
InstrumentationMaterials ScienceFluid FlowEngineeringComputer Science ApplicationsProcess ChemistryTransfer ProcessesTechnology
2019English

Vehicle Detection From Images Using Deep Fully Convolutional Networks

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019English

Cell Dynamic Morphology Classification Using Deep Convolutional Neural Networks

Cytometry Part A
Forensic MedicinePathologyHistologyCell Biology
2018English

Spatiotemporal Traffic State Prediction Based on Discriminatively Pre-Trained Deep Neural Networks

Advances in Science, Technology and Engineering Systems
EngineeringAstronomyPhysicsManagement of TechnologyInnovation
2017English

iPseU-CNN: Identifying RNA Pseudouridine Sites Using Convolutional Neural Networks

Molecular Therapy - Nucleic Acids
Drug DiscoveryMolecular Medicine
2019English

Autonomous Bridge Crack Detection Using Deep Convolutional Neural Networks

2019English

Identifying Ear Abnormality From 2D Photographs Using Convolutional Neural Networks

Scientific Reports
Multidisciplinary
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy