Self-trainable and adaptive sensor intelligence for selective data generation
With the increasing integration of machine learning into IoT devices, managing energy consumption and data transmission has become a critical challenge. Many IoT applications depend on complex computations performed on server-side infrastructure, necessitating efficient methods to reduce unnecessary...
Saved in:
Main Authors: | Arghavan Rezvani, Wenjun Huang, Hanning Chen, Yang Ni, Mohsen Imani |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
|
Series: | Frontiers in Artificial Intelligence |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2024.1403187/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Digitalized Optical Sensor Network for Intelligent Facility Monitoring
by: Esther Renner, et al.
Published: (2024-12-01) -
Status Monitoring of Parking Space by Using Sensor Technology
by: Zhang Hao
Published: (2022-09-01) -
Information Retrieving Through Sensors for Smart Parking
by: Ibrahim Mekawy, et al.
Published: (2022-03-01) -
Sleep Posture Detection via Embedded Machine Learning on a Reduced Set of Pressure Sensors
by: Giacomo Peruzzi, et al.
Published: (2025-01-01) -
Energy-Efficient Federated Learning for Internet of Things: Leveraging In-Network Processing and Hierarchical Clustering
by: M. Baqer
Published: (2024-12-01)