Atmospheric corrosion prediction: a review
Y Cai, Y Xu, Y Zhao, X Ma - Corrosion Reviews, 2020 - degruyter.com
The atmospheric corrosion of metallic materials causes great economic loss every year
worldwide. Thus, it is meaningful to predict the corrosion loss in different field environments …
worldwide. Thus, it is meaningful to predict the corrosion loss in different field environments …
Mechanistically informed machine learning and artificial intelligence in fire engineering and sciences
MZ Naser - Fire Technology, 2021 - Springer
Fire is a chaotic and extreme phenomenon. While the past few years have witnessed the
success of integrating machine intelligence (MI) to tackle equally complex problems in …
success of integrating machine intelligence (MI) to tackle equally complex problems in …
Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer
Reference evapotranspiration (ET o) is one of the most important and influential components
in optimizing agricultural water consumption and water resources management. In the …
in optimizing agricultural water consumption and water resources management. In the …
Development of a TVF-EMD-based multi-decomposition technique integrated with Encoder-Decoder-Bidirectional-LSTM for monthly rainfall forecasting
Accurate forecasting of rainfall is extremely important due to its complex nature and
enormous impacts on hydrology, floods, droughts, agriculture, and monitoring of pollutant …
enormous impacts on hydrology, floods, droughts, agriculture, and monitoring of pollutant …
[HTML][HTML] Insights into hot deformation of medium entropy alloys: Softening mechanisms, microstructural evolution, and constitutive modelling—a comprehensive review
The recent discovery of multicomponent principal alloys and the enhanced comprehension
of their physical metallurgy have significantly advanced the understanding of microstructure …
of their physical metallurgy have significantly advanced the understanding of microstructure …
Development of wavelet-based kalman online sequential extreme learning machine optimized with boruta-random forest for drought index forecasting
Drought is a stochastic and recurring hydrological natural hazard that occurs due to a
shortage of precipitation over a period of time. Drought forecasting in water resources …
shortage of precipitation over a period of time. Drought forecasting in water resources …
A probabilistic deep reinforcement learning approach for optimal monitoring of a building adjacent to deep excavation
During a deep excavation project, monitoring the structural health of the adjacent buildings
is crucial to ensure safety. Therefore, this study proposes a novel probabilistic deep …
is crucial to ensure safety. Therefore, this study proposes a novel probabilistic deep …
[HTML][HTML] Boruta extra tree-bidirectional long short-term memory model development for Pan evaporation forecasting: Investigation of arid climate condition
In this study, two deep learning approaches, bidirectional long short-term memory (BiLSTM)
and long short-term memory (LSTM), were used along with adaptive boosting and general …
and long short-term memory (LSTM), were used along with adaptive boosting and general …
Machine learning-based corrosion rate prediction of steel embedded in soil
Predicting the corrosion rate for soil-buried steel is significant for assessing the service-life
performance of structures in soil environments. However, due to the large amount of …
performance of structures in soil environments. However, due to the large amount of …
On the evaluation of crude oil oxidation during thermogravimetry by generalised regression neural network and gene expression programming: application to thermal …
MR Mohammadi, A Hemmati-Sarapardeh… - … Theory and Modelling, 2021 - Taylor & Francis
Enhancing oil recovery using in-situ combustion (ISC) is an attractive alternative, especially
for heavy crudes. During ISC, part of the hydrocarbon is pyrolysed/oxidised, which …
for heavy crudes. During ISC, part of the hydrocarbon is pyrolysed/oxidised, which …