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Semantic integration of heterogeneous healthcare data based on hybrid root linked health record ontology
Merging data from several databases is called heterogeneous database integration. Integrating diverse databases in the same area faces three major...
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Efficiency analysis of ITN loss function for deep semantic building segmentation
In using deep convolutional neural networks (DCNN) for semantic building segmentation, the standard loss functions such as cross-entropy usually...
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Semantic segmentation of oblique UAV video based on ConvLSTM in complex urban area
Semantic segmentation of UAV data has been one of the research hotspots in recent years. Many applications, such as the aerial map** of urban–rural...
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Semantic modeling of climate change impacts on the implementation of the U.N. sustainable development goals related to poverty, hunger, water, and energy
Extreme climate events disrupt the stable, established interactions among the components of the socio-economic and environmental systems. The...
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Integration of Building Information Modeling (BIM) and Geographic Information System (GIS): a new approach for IFC to CityJSON conversion
Within the contemporary urban development discourse, the paradigm of smart cities has gained prominence over the past two decades. Ensuring...
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Well Logging Stratigraphic Correlation Algorithm Based on Semantic Segmentation
Well logging curves serve as indicators of strata attribute changes and are frequently utilized for stratigraphic analysis and comparison. Deep...
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Intelligent Image Semantic Segmentation: A Review Through Deep Learning Techniques for Remote Sensing Image Analysis
Image semantic segmentation is an important part of fundamental in image interpretation and computer vision. With the development of convolutional...
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Ocean knowledge representation through integration of big data employing semantic web technologies
Implementation of ocean observation sensors are booming in recent years for encouraging research among coastal areas all over the world. This results...
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Applications of Natural Language Processing to Geoscience Text Data and Prospectivity Modeling
Geological maps are powerful models for visualizing the complex distribution of rock types through space and time. However, the descriptive...
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Semantic segmentation and quantification of trees in an orchard using UAV orthophoto
Field inspection to determine tree counts in orchards is a common practice, requiring significant time and labor. While imaging systems integrated...
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Structural Modeling Based on Human–Computer Knowledge Interaction
Building structural models is a foundational step in the exploration of deep subsurface resources, such as oil and gas. However, in some complex...
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Modeling Predictors of Water Conservation-Friendly Behavior Among the General Public: Structural Equation Modeling
Amid escalating global drought concerns and the imperative of water-saving practices, this 2022 methodological study in the southwest and central...
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Optimized air-ground data fusion method for mine slope modeling
Refined 3D modeling of mine slopes is pivotal for precise prediction of geological hazards. Aiming at the inadequacy of existing single modeling...
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Methods for the construction of DEMs of artificial slopes considering morphological features and semantic information
As human activities increase, artificially modified terrain is increasingly widely distributed in road, hydrological, and urban construction....
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Urban landscape modeling and algorithms under machine learning and remote sensing data
Traditional urban landscape modeling relies on limited geographic information data and sensor observation data, but urban landscapes are dynamic and...
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Toward Interoperable Multi-hazard Modeling: A Disaster Management System for Disaster Model Service Chain
A natural hazard-related disaster event often causes a series of secondary disasters, forming a disaster chain. Modeling the evolution of disaster...
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Research on urban 3D geological modeling based on multi-modal data fusion: a case study in **an, China
Urban underground 3D geological modeling can accurately express various geological phenomena and provide a decision-making basis for urban planning...
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Comparison of Semantic Segmentation of Point Clouds Obtained from Different Sensors Using Deep Learning
Deep learning methods have been successfully used in image processing and computer vision. Point cloud semantic segmentation is also a current study...
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A Three-Dimensional Geological Structure Modeling Framework and Its Application in Machine Learning
Three-dimensional geological structure analysis is fundamental to geoscientific research. With the application of artificial intelligence in...
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Advancing seismic landslide susceptibility modeling: a comparative evaluation of deep learning models through particle swarm optimization
Landslides triggered by earthquakes pose significant risks in mountainous regions, necessitating advanced modeling techniques for accurate...
