Evaluation of Artificial Neural Network Model for Predicting Nitrogen Oxides (NOₓ) Concentration
Nitrogen Oxides (NOₓ) are air pollutants that require serious attention due to their potential negative impacts on human health, the environment, and the economy. This research is crucial to provide accurate predictive models of NOₓ concentration, which can serve as a foundation for decision-making...
Saved in:
| Main Authors: | Muhammad Farrih Mahabbataka Arsyada, Raras Tyasnurita |
|---|---|
| Format: | Article |
| Language: | Indonesian |
| Published: |
Islamic University of Indragiri
2025-05-01
|
| Series: | Sistemasi: Jurnal Sistem Informasi |
| Subjects: | |
| Online Access: | https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/4371 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
DeNOxing the air in urban spaces by building and construction photocatalytic coverings
by: J. Fernández-Pampillón, et al.
Published: (2024-12-01) -
Low NOx ammonia / methane combustion with highly preheated air in a furnace
by: Daisuke SHIMOKURI, et al.
Published: (2025-01-01) -
Advances in catalysts for synergistic elimination of VOCs and NO_x
by: WANG Zhuo, et al.
Published: (2024-08-01) -
Sustainable approaches to NOx emissions: Capture and utilization technologies
by: Ikram Moulay, et al.
Published: (2025-07-01) -
Artificial neural network forecast application for fine particulate matter concentration using meteorological data
by: M. Memarianfard, et al.
Published: (2017-09-01)