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
Edge AI: A Survey of Next-Generation Waste Classification a nd R outing Architectures
Edge AI: A Survey of Next-Generation Waste Classification a nd R outing Architectures
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Authors:
Yash Saini
,
Anmol Tyagi
,
Priynshu Kumar
,
Sagar
,
Priyanka
Format:
Recurso digital
Published:
Zenodo
2026
Subjects:
Waste Segmentation
Edge computing
Tensorflow. js
Nearest Bin Recommendation
Smart City Architecture
Transfer Learning
MobileNetV2
MQTT.
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.19416594
Similar Items
Edge AI: A Survey of Next-Generation Waste Classification and Routing Architectures
by: Yash Saini, et al.
Published: (2026)
Iot-Enabled Intelligent Waste Monitoring And Management Framework For Sustainable Smart Cities
by: IJAENE
Published: (2026)
Dataset for Empirical Evaluation of a Layered Edge–Cloud IoT Security Architecture.
by: Jama, Yahye Abdalle Jama, et al.
Published: (2026)
Review on Literature Survey of Human Recognition with Face Mask
by: Dr. Vandana S. Bhat, et al.
Published: (2021)
Javascript script to download wos documents
by: Ahmayev, Sharabiddin, et al.
Published: (2025)