Advancements in Mobile‐Based Air Pollution Detection: From Literature Review to Practical Implementation
S Sladojevic, M Arsenovic, D Nikolic… - Journal of …, 2024 - Wiley Online Library
The aim of this paper is to investigate the effectiveness of combining mobile technologies
and sensors to detect harmful particles in the air and address the problem of air pollution …
and sensors to detect harmful particles in the air and address the problem of air pollution …
TinyML algorithms for Big Data Management in large-scale IoT systems
In the context of the Internet of Things (IoT), Tiny Machine Learning (TinyML) and Big Data,
enhanced by Edge Artificial Intelligence, are essential for effectively managing the extensive …
enhanced by Edge Artificial Intelligence, are essential for effectively managing the extensive …
IoT-based Environmental Monitoring with Data Analysis of Temperature, Humidity, and Air Quality
J Waworundeng - CogITo Smart Journal, 2024 - cogito.unklab.ac.id
Environment monitoring has been linked to the use of the IoT. To raise awareness for the
environment, the IoT system is built as an instrument tool based on a Prototyping model with …
environment, the IoT system is built as an instrument tool based on a Prototyping model with …
Exploring Local and Cloud-Based Training Use Cases for Embedded Machine Learning
N Andalib, M Selimi - 2024 13th Mediterranean Conference on …, 2024 - ieeexplore.ieee.org
TinyML is a paradigm that makes machine learning (ML) algorithms to run on low-power
devices. This involves training an ML model with pre-collected data and then storing it on a …
devices. This involves training an ML model with pre-collected data and then storing it on a …