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 …

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 …

Battling COVID-19 using machine learning: A review

K Chadaga, S Prabhu, BK Vivekananda… - Cogent …, 2021 - Taylor & Francis
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 …

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 …

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 …

[HTML][HTML] A multi-fidelity deep operator network (DeepONet) for fusing simulation and monitoring data: Application to real-time settlement prediction during tunnel …

C Xu, BT Cao, Y Yuan, G Meschke - Engineering Applications of Artificial …, 2024 - Elsevier
Ground settlement prediction during mechanized tunneling is of paramount importance and
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

M Peng, X Wang, G Zhang, G Veh, A Sattar, W Chen… - Journal of …, 2023 - Elsevier
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 …

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 …

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 …

Generating 3D geothermal maps in Catalonia, Spain using a hybrid adaptive multitask deep learning procedure

SP Mirfallah Lialestani, D Parcerisa, M Himi… - Energies, 2022 - mdpi.com
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 …