Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Reconstruction and efficient visualization of heterogeneous 3D city models
The increasing efforts in develo** smart city concepts are often coupled with three-
dimensional (3D) modeling of envisioned designs. Such conceptual designs and planning …
dimensional (3D) modeling of envisioned designs. Such conceptual designs and planning …
Automation of building permission by integration of BIM and geospatial data
The building permission process is to a large extent an analogue process where much
information is handled in paper format or as pdf files. With the ongoing digitalisation in …
information is handled in paper format or as pdf files. With the ongoing digitalisation in …
Virtual scene construction of wetlands: A case study of Poyang Lake, China
Due to the complexity of wetland ecosystems, wetlands have a wide area of alternating land
and water zones and complex vegetation composition, making it challenging to achieve …
and water zones and complex vegetation composition, making it challenging to achieve …
Confidence of a k-nearest neighbors Python algorithm for the 3D visualization of sedimentary porous media
In a previous paper, the authors implemented a machine learning k-nearest neighbors
(KNN) algorithm and Python libraries to create two 3D interactive models of the stratigraphic …
(KNN) algorithm and Python libraries to create two 3D interactive models of the stratigraphic …
[HTML][HTML] Using python libraries and k-Nearest neighbors algorithms to delineate syn-sedimentary faults in sedimentary porous media
This paper introduces a methodology based on Python libraries and machine learning k-
Nearest Neighbors (KNN) algorithms to create an interactive 3D HTML model …
Nearest Neighbors (KNN) algorithms to create an interactive 3D HTML model …
[HTML][HTML] A K-nearest neighbors algorithm in Python for visualizing the 3D stratigraphic architecture of the Llobregat River Delta in NE Spain
The k-nearest neighbors (KNN) algorithm is a non-parametric supervised machine learning
classifier; which uses proximity and similarity to make classifications or predictions about the …
classifier; which uses proximity and similarity to make classifications or predictions about the …
Identification of altitude profiles in 3D geovisualizations: the role of interaction and spatial abilities
Three-dimensional geovisualizations are currently pushed both by technological
development and by the demands of experts in various applied areas. In the presented …
development and by the demands of experts in various applied areas. In the presented …
[HTML][HTML] A Python application for visualizing the 3D stratigraphic architecture of the onshore Llobregat River Delta in NE Spain
This paper introduces a Python application for visualizing the 3D stratigraphic architecture of
porous sedimentary media. The application uses the parameter granulometry deduced from …
porous sedimentary media. The application uses the parameter granulometry deduced from …
[HTML][HTML] Dynamic 3D simulation of flood risk based on the integration of spatio-temporal GIS and hydrodynamic models
Dynamic visual simulation of flood risk is crucial for scientific and intelligent emergency
management of flood disasters, in which data quality, availability, visualization, and …
management of flood disasters, in which data quality, availability, visualization, and …
[HTML][HTML] Identification of the best 3D viewpoint within the BIM model: Application to visual tasks related to facility management
Visualizing building assets within building information modeling (BIM) offers significant
opportunities in facility management as it can assist the maintenance and the safety of …
opportunities in facility management as it can assist the maintenance and the safety of …