Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Disease Classification in Plants Using Residual Network
Disease Classification in Plants Using Residual Network
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Authors:
Tedjawidjaja, Felix Christian
,
Nathaneil, Jason
,
Gozali, Kenneth Owen
,
Lukman, Selvi
Format:
Recurso digital
Published:
Zenodo
2026
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Internet
https://doi.org/10.5281/zenodo.18108805
Similar Items
Gap Filling of Photosynthetically Active Radiation Data in Oil Palm Production Using Mean Diurnal Variation Method
by: Lukman, Selvi, et al.
Published: (2026)
Mycobacterium tuberculosis Lineage Distribution Using Whole‐Genome Sequencing and Bedaquiline, Clofazimine, and Linezolid Phenotypic Profiles among Rifampicin‐Resistant Isolates from West Java, Indonesia
by: Andriansjah Rukmana, et al.
Published: (2024)
AI in Indian Libraries: Prospects and Perceptions from Library Professionals
by: A. Subaveerapandiyan, et al.
Published: (2024)
Predicting Profit and Loss of Yamaha's bike selling using Linear Regression
by: Loekito, Jimmy, et al.
Published: (2025)
HACDRAN: A Novel Hybrid Atrous Convolution Model With Densenet and Residual Attenuation Network for Multi‐Plant Leaf Disease Classification
by: Kalicharan Sahu, et al.
Published: (2024)