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Machine learning-based atom contribution method for the prediction of surface charge density profiles and solvent design
atom contribution computer-aided molecular design decomposition-based algorithm machine learning
2023/6/19
Solvents are widely used in chemical processes. The use of efficient model-based solvent selection techniques is an option worth considering for rapid identification of candidates with better economic...
Spectrometric prediction of wood basic density by comparison of different grain angles and variable selection methods
Spectrometric prediction wood basic density
2023/6/2
Background:Wood basic density (WBD) is one of the most crucial wood property in tree and mainly determined the end use of wood for industry. However, the measurement WBD is time- and cost-consuming, w...
IDENTIFICATION OF SIMILARITIES AND PREDICTION OF UNKNOWN FEATURES IN AN URBAN STREET NETWORK
urban traffic traffic analysis machine learning clustering
2018/11/9
Accurate predictions of the characteristics of urban streets in particular with respect to the typical traffic situations are crucial for numerous real world applications such as navigation, schedulin...
PREDICTION BASED WORKLOAD PERFORMANCE EVALUATION FOR DISASTER MANAGEMENT SPATIAL DATABASE
Disaster Management Large Spatial Database Shortest Path Dijkstra Algorithm
2018/11/9
This paper discusses a prediction based workload performance evaluation implementation during Disaster Management, especially at the response phase, to handle large spatial data in the event of an eru...
Prediction of the effectiveness of rolling dynamic compaction using artificial neural networks and cone penetration test data
soil mechanics rolling dynamic compaction artificial neural networks cone penetration test ground improvement
2018/12/25
Rolling Dynamic Compaction (RDC)，which is a ground improvement technique involving non-circular modules drawn behind a tractor，has provided the construction industry with an improved ground compaction...
A HYBRID APPROACH FOR PREDICTION OF CHANGES IN LANDSLIDE RATES BASED ON CLUSTERING AND A DECISION TREE
Landslides Prediction Two-step cluster Classification and regression tree (CART) White box model
2018/4/18
Forecasting the complex deformation patterns (e.g., displacement, velocity, etc.) of landslides is required to prevent property damage and loss of human lives caused by landslide deformation and failu...
A HYBRID APPROACH FOR PREDICTION OF CHANGES IN LANDSLIDE RATES BASED ON CLUSTERING AND A DECISION TREE
Landslides, Prediction, Two-step cluster, Classification and regression tree (CART), White box model
2018/5/8
Forecasting the complex deformation patterns (e.g., displacement, velocity, etc.) of landslides is required to prevent property damage and loss of human lives caused by landslide deformation and failu...
CALIBRATED MULTI-TEMPORAL EDGE IMAGES FOR CITY INFRASTRUCTURE GROWTH ASSESSMENT AND PREDICTION
Urbanization Edge images Urban Land Use Infrastructure Growth Multi-Temporal Landsat
2018/4/18
Urban Growth or urbanization can be defined as the gradual process of city’s population growth and infrastructure development. It is typically demonstrated by the expansion of a city’s infrastructure,...
CALIBRATED MULTI-TEMPORAL EDGE IMAGES FOR CITY INFRASTRUCTURE GROWTH ASSESSMENT AND PREDICTION
Urbanization Edge images Urban Land Use Infrastructure Growth Multi-Temporal Landsat
2018/5/8
Urban Growth or urbanization can be defined as the gradual process of city’s population growth and infrastructure development. It is typically demonstrated by the expansion of a city’s infrastructure,...
Fracture gradient prediction: an overview and an improved method
Keywords Fracture gradient prediction Leak-off test Breakdown pressure Mud loss Fracture gradient in salt
2018/4/2
Abstract The fracture gradient is a critical parameter for drilling mud weight design in the energy industry. A new method in fracture gradient prediction is proposed based on analyzing worldwide leak...
PREDICTION OF CHANGES IN VEGETATION DISTRIBUTION UNDER CLIMATE CHANGE SCENARIOS USING MODIS DATASET
MODIS Beech Prediction modelling Climate change
2016/12/1
The distribution of vegetation is expected to change under the influence of climate change. This study utilizes vegetation maps derived from Terra/MODIS data to generate a model of current climate con...
3D VISUALIZATION OF VOLCANIC ASH DISPERSION PREDICTION WITH SPATIAL INFORMATION OPEN PLATFORM IN KOREA
Visualization Volcanic ash Disaster prediction Spatial information Open platform
2016/11/30
Visualization of disaster dispersion prediction enables decision makers and civilian to prepare disaster and to reduce the damage by showing the realistic simulation results. With advances of GIS tech...
Sensitivity of land surface and Cumulus schemes for Thunderstorm prediction
Mesoscale Parameterization Microphysics Grid-scale
2016/11/30
The cloud processes play an important role in all forms of precipitation. Its proper representation is one of the challenging tasks in mesoscale numerical simulation. Studies have revealed that mesosc...
SHORT-TERM PRECIPITATION OCCURRENCE PREDICTION FOR STRONG CONVECTIVE WEATHER USING FY2-G SATELLITE DATA: A CASE STUDY OF SHENZHEN,SOUTH CHINA
Short-term precipitation SVM FY-2G satellite image Precipitation occurrence prediction
2016/11/15
Short-term precipitation commonly occurs in south part of China, which brings intensive precipitation in local region for very short time. Massive water would cause the intensive flood inside of city ...
DENSE IMAGE MATCHING FOR MARS EXPRESS HRSC IMAGERY BASED ON PRECISE POINT PREDICTION METHOD
Mars Exploration Planetary Photogrammetry Mars Topographic Mapping Image Matching High Resolution Stereo Camera
2016/11/8
Currently, Mars Express HRSC imagery is an essential data source to derive high accuracy Mars topographic data. In view of the characteristics of Martian surface satellite imagery, a dense image match...