Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

DensResNet: A Deep Ensemble Approach for Ethiopian Food Classification

Domain:

agriculture

Record type:

modelpaper
Creator:
NegHubAli
Publisher:
unp
Host:avatar

Visit

doi.orgwww.researchgate.net

Tasks

computer visionimage classification

Languages

Amharic

Similar

Hybrid ensemble - deep transfer model for early cassava leaf disease classificationDeep learning approach for land use images classificationSocial Media Sentiment Classification for Tunisian Dialect: A Deep Learning ApproachAn Ensemble Feature Extraction Approach for Ethiopian Coffee Beans Variant IdentificationAccent Classification Across Continents: A Deep Learning ApproachEthiopian music genre classification using deep learning

Hybrid ensemble - deep transfer model for early cassava leaf disease classification

Deep learning approach for land use images classification

CNN (convolutional neural networks) are a category of neural networks that are majorly used for imag

Social Media Sentiment Classification for Tunisian Dialect: A Deep Learning Approach

An Ensemble Feature Extraction Approach for Ethiopian Coffee Beans Variant Identification

Accent Classification Across Continents: A Deep Learning Approach

This study focuses on a deep learning based accent classification across continents and greatly enha

Ethiopian music genre classification using deep learning