A systematic literature review of deep learning neural network for time series air quality forecasting

N Zaini, LW Ean, AN Ahmed, MA Malek - Environmental Science and …, 2022 - Springer
Rapid progress of industrial development, urbanization and traffic has caused air quality
reduction that negatively affects human health and environmental sustainability, especially …

Inspection of concrete structures externally reinforced with FRP composites using active infrared thermography: A review

M Yumnam, H Gupta, D Ghosh, J Jaganathan - Construction and Building …, 2021 - Elsevier
Fiber reinforced polymer (FRP) composites have become one of the most important
strengthening and retrofitting materials for reinforced concrete structures. However, these …

Evolution of land surface air temperature trend

F Ji, Z Wu, J Huang, EP Chassignet - Nature Climate Change, 2014 - nature.com
The global climate has been experiencing significant warming at an unprecedented pace in
the past century,. This warming is spatially and temporally non-uniform, and one needs to …

Empirical mode decomposition-based time-frequency analysis of multivariate signals: The power of adaptive data analysis

DP Mandic, N Ur Rehman, Z Wu… - IEEE signal processing …, 2013 - ieeexplore.ieee.org
This article addresses data-driven time-frequency (TF) analysis of multivariate signals, which
is achieved through the empirical mode decomposition (EMD) algorithm and its noise …

On the computational complexity of the empirical mode decomposition algorithm

YH Wang, CH Yeh, HWV Young, K Hu, MT Lo - Physica A: Statistical …, 2014 - Elsevier
It has been claimed that the empirical mode decomposition (EMD) and its improved version
the ensemble EMD (EEMD) are computation intensive. In this study we will prove that the …

A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2. 5 and PM10 forecasting

P Du, J Wang, Y Hao, T Niu, W Yang - Applied Soft Computing, 2020 - Elsevier
High levels of air pollution can severely affect the living environment and even endanger the
human lives. To reduce air pollution concentrations, and warn the public regarding the …

Increasing flooding hazard in coastal communities due to rising sea level: Case study of Miami Beach, Florida

S Wdowinski, R Bray, BP Kirtman, Z Wu - Ocean & Coastal Management, 2016 - Elsevier
Sea level rise (SLR) imposes an increasing flooding hazard on low-lying coastal
communities due to higher exposure to high-tide conditions and storm surge. Additional …

The Fourier decomposition method for nonlinear and non-stationary time series analysis

P Singh, SD Joshi, RK Patney… - Proceedings of the …, 2017 - royalsocietypublishing.org
for many decades, there has been a general perception in the literature that Fourier methods
are not suitable for the analysis of nonlinear and non-stationary data. In this paper, we …

[HTML][HTML] On the time-varying trend in global-mean surface temperature

Z Wu, NE Huang, JM Wallace, BV Smoliak, X Chen - Climate dynamics, 2011 - Springer
The Earth has warmed at an unprecedented pace in the decades of the 1980s and 1990s
(IPCC in Climate change 2007: the scientific basis, Cambridge University Press, Cambridge …

A survey on Hilbert-Huang transform: Evolution, challenges and solutions

UB de Souza, JPL Escola, L da Cunha Brito - Digital Signal Processing, 2022 - Elsevier
Signal processing methods are essential in scientific research, and time-frequency analysis
techniques such as Fourier Transform constitute an important progress in data analysis, but …