A novel approach to uncertainty quantification in groundwater table modeling by automated predictive deep learning
A Abbaszadeh Shahri, C Shan, S Larsson - Natural Resources Research, 2022 - Springer
Uncertainty quantification (UQ) is an important benchmark to assess the performance of
artificial intelligence (AI) and particularly deep learning ensembled-based models. However …
artificial intelligence (AI) and particularly deep learning ensembled-based models. However …
A hybrid ensemble-based automated deep learning approach to generate 3D geo-models and uncertainty analysis
A Abbaszadeh Shahri, S Chunling… - Engineering with …, 2024 - Springer
There is an increasing interest in creating high-resolution 3D subsurface geo-models using
multisource retrieved data, ie, borehole, geophysical techniques, geological maps, and rock …
multisource retrieved data, ie, borehole, geophysical techniques, geological maps, and rock …
Battling COVID-19 using machine learning: A review
Abstract Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) known as
Coronavirus surfaced in late 2019. It turned out to be a life-threatening disease and is …
Coronavirus surfaced in late 2019. It turned out to be a life-threatening disease and is …
A multi-objective cooperation search algorithm for cascade reservoirs operation optimization considering power generation and ecological flows
Z Feng, L Zhang, L Mo, Y Wang, W Niu - Applied Soft Computing, 2024 - Elsevier
With growing attention focused on energy generation and environmental conservation, the
operation of cascade reservoirs that considers power generation benefits and ecological …
operation of cascade reservoirs that considers power generation benefits and ecological …
A review of 3D spatial data models for surface and subsurface integration of spatial objects
MM Apeh, A Abdul Rahman - … Archives of the …, 2023 - isprs-archives.copernicus.org
Three dimensional (3D) spatial data models have been known as a geographic information
system platform for representing the dimensionality of spatial objects with respect to the real …
system platform for representing the dimensionality of spatial objects with respect to the real …
[HTML][HTML] A multi-fidelity deep operator network (DeepONet) for fusing simulation and monitoring data: Application to real-time settlement prediction during tunnel …
Ground settlement prediction during mechanized tunneling is of paramount importance and
remains a challenging research topic. Typically, two paradigms are existing: a physics …
remains a challenging research topic. Typically, two paradigms are existing: a physics …
Cascading hazards from two recent glacial lake outburst floods in the Nyainqêntanglha range, Tibetan Plateau
Glacial lake outburst floods (GLOFs) are a major natural hazard in high mountain regions
and have caused significant loss and damage. In the past decade, two lakes (Ranzeria Co …
and have caused significant loss and damage. In the past decade, two lakes (Ranzeria Co …
Design and experimental study on an innovative UAV-LiDAR topographic mapping system for precision land levelling
M Du, H Li, A Roshanianfard - Drones, 2022 - mdpi.com
Topographic maps provide detailed information on variations in ground elevation, which is
essential for precision farmland levelling. This paper reports the development and …
essential for precision farmland levelling. This paper reports the development and …
Study of the catastrophic process of water–sand inrush in a deep buried stope with thin bedrock
T Li, Y Tang, L Li, H Hu, Z Li, J He, B An - Water, 2023 - mdpi.com
Taking the 14,030 panel of Zhaogu No. 2 coal mine as its research object, this paper studies
the evolution characteristics of the developing height, propagation track and caving arch …
the evolution characteristics of the developing height, propagation track and caving arch …
Generating 3D geothermal maps in Catalonia, Spain using a hybrid adaptive multitask deep learning procedure
Mapping the subsurface temperatures can efficiently lead to identifying the geothermal
distribution heat flow and potential hot spots at different depths. In this paper, an advanced …
distribution heat flow and potential hot spots at different depths. In this paper, an advanced …