Multilayer Hybrid Deep-Learning Method for Waste Classification and Recycling

Computational Intelligence and Neuroscience - United States
doi 10.1155/2018/5060857
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Hindawi Limited

Related search

Hybrid Deep Learning Approach for Financial Time Series Classification

Revista Brasileira de Computação Aplicada
2018English

Deep Learning and Fuzzy Rule-Based Hybrid Fusion Model for Data Classification

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

A Hybrid Self-Attention Deep Learning Framework for Multivariate Sleep Stage Classification

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2019English

Classification of Plant Leaf Diseases: A Deep Learning Method

International Journal of Innovative Technology and Exploring Engineering
Mechanics of MaterialsElectronic EngineeringCivilStructural EngineeringElectricalComputer Science
2019English

Recycling. Analytical Method for Dioxins in Waste Materials.

Shigen-to-Sozai
1997English

Deep Phenotyping: Deep Learning for Temporal Phenotype/Genotype Classification

Plant Methods
BiotechnologyPlant ScienceGenetics
2018English

Deep Learning for Age Group Classification System

International Journal of Advances in Signal and Image Sciences
2018English

Deep Learning Models for Histopatological Images Classification

EasyChair Preprints
2018English

Pavement Distress Classification Using Deep Learning Method Based on Digital Image

2020English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy