Machine learning applications on air temperature prediction in the urban canopy layer: A critical review of 2011–2022

H Wang, J Yang, G Chen, C Ren, J Zhang - Urban Climate, 2023 - Elsevier
Air temperature within the urban canopy layer is one of the most critical variables that impact
the environmental sustainability of cities. With advantages in computational speed, machine …

Sensors on Internet of Things Systems for the Sustainable Development of Smart Cities: A Systematic Literature Review

F Zeng, C Pang, H Tang - Sensors, 2024 - mdpi.com
The Internet of Things (IoT) is a critical component of smart cities and a key contributor to the
achievement of the United Nations Sustainable Development Goal (UNSDG) 11 …

Predicting hourly PM2. 5 concentrations in wildfire-prone areas using a SpatioTemporal Transformer model

M Yu, A Masrur, C Blaszczak-Boxe - Science of The Total Environment, 2023 - Elsevier
Globally, wildfires are becoming more frequent and destructive, generating a significant
amount of smoke that can transport thousands of miles. Therefore, improving air pollution …

[HTML][HTML] Application of advanced optimized soft computing models for atmospheric variable forecasting

RM Adnan, SG Meshram, RR Mostafa, ARMT Islam… - Mathematics, 2023 - mdpi.com
Precise Air temperature modeling is crucial for a sustainable environment. In this study, a
novel binary optimized machine learning model, the random vector functional link (RVFL) …

Meteorological influence on forecasting urban pollutants: Long-term predictability versus extreme events in a spatially heterogeneous urban ecosystem

G Ulpiani, PN Duhirwe, GY Yun, MJ Lipson - Science of the Total …, 2022 - Elsevier
With the escalation of heat-and pollution-related threats in cities across the globe, timely
counteractions and emergency procedures are vital, which calls for accurate co-prediction of …

[HTML][HTML] Survey Paper Artificial and Computational Intelligence in the Internet of Things and Wireless Sensor Network

GPN Hakim, D Septiyana… - Journal of Robotics and …, 2022 - journal.umy.ac.id
In this modern age, Internet of Things (IoT) and Wireless Sensor Network (WSN) as its
derivatives have become one of the most popular and important technological …

Intelligent irrigation scheduling scheme based on deep bi-directional LSTM technique

R Jenitha, K Rajesh - International Journal of Environmental Science and …, 2024 - Springer
The most noticeable sector for the survival of the huge population needs the proper
technique for the upliftment of the agricultural sector. Various factors make the agriculture …

Time series forecasting of pedestrian-level urban air temperature by LSTM: Guidance for practitioners

H Wang, J Zhang, J Yang - Urban Climate, 2024 - Elsevier
Forecasting urban air temperature (Ta) is crucial due to its substantial socio-economic and
environmental implications. Machine learning approaches, particularly neural networks with …

A novel global average temperature prediction model——based on GM-ARIMA combination model

X Chen, Z Jiang, H Cheng, H Zheng, D Cai… - Earth Science …, 2024 - Springer
In recent years, under the influence of changes in natural conditions and human social
activities, the issue of global warming has become increasingly prominent. So it is crucial to …

Peramalan Nilai Ekspor Migas di Indonesia dengan Model Long Short Term Memory (LSTM) dan Gated Recurrent Unit (GRU)

PN Yulisa, M Al Haris, PR Arum - J Statistika: Jurnal Ilmiah …, 2023 - jurnal.unipasby.ac.id
Ekspor migas merupakan komoditas yang berperan penting dalam perekonomian negara
dan pengelolaannya harus dimaksimalkan demi kemakmuran dan kesejahteraan rakyat …