Urban Air Quality Classification Using Machine Learning Approach to Enhance Environmental Monitoring
Urban areas worldwide grapple with environmental challenges, notably air pollution. DKI
Jakarta, Indonesia's capital city, is emblematic of this struggle, where rapid urbanization …
Jakarta, Indonesia's capital city, is emblematic of this struggle, where rapid urbanization …
Explainable based approach for the air quality classification on the granular computing rule extraction technique
I Jairi, S Ben-Othman, L Canivet… - Engineering Applications of …, 2024 - Elsevier
Air pollution corresponds to one of the considerable challenges and disastrous sides of the
environment that causes severe damage to all its biodiversity, including humans. As a result …
environment that causes severe damage to all its biodiversity, including humans. As a result …
[HTML][HTML] IoT based smart framework to predict air quality in congested traffic areas using SV-CNN ensemble and KNN imputation model
Addressing air pollution presents a significant environmental challenge in the context of
smart city environments. Real-time monitoring of pollution data empowers local authorities to …
smart city environments. Real-time monitoring of pollution data empowers local authorities to …
Development of Buffer Zone into Living Lab-Garuda Smart City Framework: Systematic Review
G Emmanuel, SH Supangkat, FL Gaol… - … Conference on ICT for …, 2023 - ieeexplore.ieee.org
The phenomenon of urbanization in Indonesia is inevitable. The new residential and
economic centers in suburban areas is also a problem in city development. The gradual …
economic centers in suburban areas is also a problem in city development. The gradual …
A Reliable Jumping-based Classification Methodology For Environment Sector
Decision-makers have consistently developed a range of classification models, each
possessing unique features within the domain of intelligent models. These endeavors are all …
possessing unique features within the domain of intelligent models. These endeavors are all …
Enhancing air quality classification using a novel discrete learning-based multilayer perceptron model (DMLP)
Effective utilization of data analysis techniques is paramount in addressing the complex
challenges presented by environmental issues. These methodologies empower researchers …
challenges presented by environmental issues. These methodologies empower researchers …
[PDF][PDF] Comparative analysis of machine learning for predicting air quality in smart cities
K Maaloul, L Brahim - WSEAS Trandaction on Computers, 2022 - researchgate.net
Ambient air pollution is the most harmful environmental risk to health. As urban air quality
improves, health costs from air pollution-related diseases diminish. This is why air pollution …
improves, health costs from air pollution-related diseases diminish. This is why air pollution …
MODELOWANIE PREDYKCYJNE OPÓŹNIEŃ LOTÓW Z WYKORZYSTANIEM DRZEW DECYZYJNYCH
Nowadays, although technology has developed on an unimaginable scale, there are still
factors that can disrupt the safe and smooth functioning of many areas of daily life. One such …
factors that can disrupt the safe and smooth functioning of many areas of daily life. One such …
[PDF][PDF] Predictive modeling of flight delays using decission tree
Nowadays, although technology has developed on an unimaginable scale, there are still
factors that can disrupt the safe and smooth functioning of many areas of daily life. One such …
factors that can disrupt the safe and smooth functioning of many areas of daily life. One such …