Empowered edge intelligent aquaculture with lightweight Kubernetes and GPU-embedded
A smart edge computing infrastructure for air quality monitoring using LPWAN and MQTT technologies
A Real-Time Streaming Application for License Plate Recognition Using OpenALPR
Aquaculture Monitoring Systems Based on Lightweight Kubernetes and Rancher
A monitoring system of water quality Tunghai Lake using LoRaWAN
Implementation of fire and smoke detection using deepstream and edge computing approachs
Performance comparison of lightweight kubernetes in edge devices
Halim Fathoni.Ph.D
fathoni@polinela.ac.id