Search
3 articles for “AQI Forecasting”
-
EcoSense AI: An Intelligent IoT-Based Environmental Monitoring and Forecasting System
Abstract: Environmental degradation caused by air, water, and soil pollution poses a severe global threat to human health and ecosystem stability. Existing IoT- based monitoring systems classify only current pollution levels but lack predictive capability, geospatial context, and tamper-proof data integrity. This paper presents EcoSense AI—a unified low-cost intelligent environmental monitoring system built on an ESP32 microcontroller with MQ135, DHT11, turbidity, and GPS sensors. The system integrates a Random Forest classifier …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 3, 2026 Read article
-
Prediction of Air Pollution LSTM Model Use in Machine Learning
Abstract: A major environmental problem that has an impact on the health and happiness of millions of people is air pollution. Accurate air quality forecasting is crucial for maintaining human health, the environment, and urban planning. In recent years, machine learning algorithms, such as Long Short-Term Memory (LSTM) models, have been increasingly used to predict air pollution levels. This study presents an abstract for a system that uses an LSTM model …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 90–98 Read article
-
Prediction of Air Quality Index (AQI)
Abstract: AbstractGrowing economy of a country has its pros and cons. Swift development of industries on an extensive scale has led to immense growth in air pollution. It happens to be elementary root of maladies and early deaths around the world. The UN responsible agency for international public health has estimated that outside atmosphere consisting of air pollution takes about three million people’s lives every year. Therefore, contamination amount in air …
Published in Journal of Electronic Design Technology · Vol. 11, Issue 2, 2020 · pp. 28–34 Read article