Machine learning in agriculture: A comprehensive updated review
The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …
artificial intelligent systems for the sake of making value from the ever-increasing data …
Bagging-based machine learning algorithms for landslide susceptibility modeling
T Zhang, Q Fu, H Wang, F Liu, H Wang, L Han - Natural hazards, 2022 - Springer
Landslide hazards have attracted increasing public attention over the past decades due to a
series of catastrophic consequences of landslide occurrence. Thus, the mitigation and …
series of catastrophic consequences of landslide occurrence. Thus, the mitigation and …
[HTML][HTML] Flood susceptibility modelling using advanced ensemble machine learning models
ARMT Islam, S Talukdar, S Mahato, S Kundu… - Geoscience …, 2021 - Elsevier
Floods are one of nature's most destructive disasters because of the immense damage to
land, buildings, and human fatalities. It is difficult to forecast the areas that are vulnerable to …
land, buildings, and human fatalities. It is difficult to forecast the areas that are vulnerable to …
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms
The flooding in Bangladesh during monsoon season is very common and frequently
happens. Consequently, people have been experiencing tremendous damage to properties …
happens. Consequently, people have been experiencing tremendous damage to properties …
A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping
Landslides are dangerous events which threaten both human life and property. The study
aims to analyze the landslide susceptibility (LS) in the Kysuca river basin, Slovakia. For this …
aims to analyze the landslide susceptibility (LS) in the Kysuca river basin, Slovakia. For this …
Evaluation efficiency of hybrid deep learning algorithms with neural network decision tree and boosting methods for predicting groundwater potential
Y Chen, W Chen, S Chandra Pal, A Saha… - Geocarto …, 2022 - Taylor & Francis
Delineation of the groundwater's potential zones is a growing phenomenon worldwide due
to the high demand for fresh groundwater. Therefore, the identification of potential …
to the high demand for fresh groundwater. Therefore, the identification of potential …
Accurate discharge coefficient prediction of streamlined weirs by coupling linear regression and deep convolutional gated recurrent unit
W Chen, D Sharifrazi, G Liang, SS Band… - Engineering …, 2022 - Taylor & Francis
Streamlined weirs, which are a nature-inspired type of weir, have gained tremendous
attention among hydraulic engineers, mainly owing to their established performance with …
attention among hydraulic engineers, mainly owing to their established performance with …
[HTML][HTML] Bim-based energy analysis and optimization using insight 360 (case study)
Building information modeling (BIM) is a modern data information platform and management
tool that promotes the development of green buildings. In Pakistan, the building sector …
tool that promotes the development of green buildings. In Pakistan, the building sector …
Decision tree based ensemble machine learning approaches for landslide susceptibility mapping
The concept of leveraging the predictive capacity of predisposing factors for landslide
susceptibility (LS) modeling has been continuously improved in recent work focusing on …
susceptibility (LS) modeling has been continuously improved in recent work focusing on …
Evaluation of different boosting ensemble machine learning models and novel deep learning and boosting framework for head-cut gully erosion susceptibility
W Chen, X Lei, R Chakrabortty, SC Pal… - Journal of …, 2021 - Elsevier
The objective of this study is to assess the gully head-cut erosion susceptibility and identify
gully erosion prone areas in the Meimand watershed, Iran. In recent years, this study area …
gully erosion prone areas in the Meimand watershed, Iran. In recent years, this study area …