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Article
Open AccessBig data-driven spatio-temporal heterogeneity analysis of Bei**g's catering service industry during the COVID-19 pandemic
The Catering Service Industry (CSI) experienced profound impacts due to the COVID-19 pandemic. However, the long-term and multi-timepoint analysis using big data remained limited, influencing governmental deci...
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Article
Modeling and exploring the coordination relationship between green infrastructure and land use eco-efficiency: an urban agglomeration perspective
In limited land space, improving the construction of infrastructure with ecological services can help to achieve the goal of promoting land use eco-efficiency (LUEE). In view of this, this study constructed in...
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Article
Open AccessIdentification and prediction of mixed-use functional areas supported by POI data in **an City of China
The urban development of China is changing from incremental expansion to stock renewal mode. The study of urban functional areas has become one of the important fundamental works in current urban renewal and h...
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Chapter
Introduction
In the past decades, with the increasing volume of spatial data and development of cutting-edge techniques, several spatial models have been created to investigate complex spatial phenomena and explore spatial...
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Chapter
Methodology
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Chapter
Study II. Spatially Explicit Hyperparameter Optimization of Neural Networks Accelerated Using High-Performance Computing
The major purpose of this chapter is to demonstrate the performance of the automated spatially explicit hyperparameter optimization (corresponding to objective 2). More specifically, I use the same case study ...
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Chapter
Conclusion
The primary purpose of this book is to propose a framework that could apply to machine learning algorithm-based spatial models with consideration of spatial features. The integration of machine learning and GI...
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Chapter
Literature Review
This literature review covers four topics, including artificial neural networks, hyperparameter optimization, cyberinfrastructure and high-performance and parallel computing, and evolutionary algorithms.
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Chapter
Study I. Hyperparameter Optimization of Neural Network-Driven Spatial Models Accelerated Using Cyber-Enabled High-Performance Computing
In this chapter, the major purpose is to examine the feasibility and necessity of spatially explicit hyperparameter optimization and to evaluate the performance of hyperparameter optimization in neural network...
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Chapter
Study III. An Integration of Spatially Explicit Hyperparameter Optimization with Convolutional Neural Networks-Based Spatial Models
In this chapter, the study shows the performance of an integration of spatially explicit hyperparameter optimization.
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Chapter
Parallel Landscape Visibility Analysis: A Case Study in Archaeology
Viewshed analysis is one of geographic information system (GIS) applications commonly used in archaeology. With the availability of large and high-resolution terrain data, viewshed analysis offers a significan...
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Chapter
Parallel Generation of Very High Resolution Digital Elevation Models: High-Performance Computing for Big Spatial Data Analysis
Very high resolution digital elevation models (DEM) provide the opportunity to represent the micro-level detail of topographic surfaces, thus increasing the accuracy of the applications that are depending on t...
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Article
Open Access3D TiO2@Ni(OH)2 Core-shell Arrays with Tunable Nanostructure for Hybrid Supercapacitor Application
Three dimensional hierarchical nanostructures have attracted great attention for electrochemical energy storage applications. In this work, self-supported TiO2@Ni(OH)2 core-shell nanowire arrays are prepared on c...
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Article
Open AccessLaser Modified ZnO/CdSSe Core-Shell Nanowire Arrays for Micro-Steganography and Improved Photoconduction
Arrays of ZnO/CdSSe core/shell nanowires with shells of tunable band gaps represent a class of interesting hybrid nanomaterials with unique optical and photoelectrical properties due to their type II heterojun...
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Article
Open AccessLaser-induced Greenish-Blue Photoluminescence of Mesoporous Silicon Nanowires
Solid silicon nanowires and their luminescent properties have been widely studied, but lesser is known about the optical properties of mesoporous silicon nanowires (mp-SiNWs). In this work, we present a facile...
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Article
Composition-dependent ultra-high photoconductivity in ternary CdS x Se1−x nanobelts as measured by optical pump-terahertz probe spectroscopy
We employ optical pump-terahertz probe spectroscopy to investigate the composition-dependent photoconductivity in ternary CdS x Se1−x nanobelts. The observed car...
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Chapter and Conference Paper
Based on NetLogo Simulation for Credit Risk Management
With economic development, the credit card business has entered a stage of rapid development. Using quantitative methods of modeling to analyses and predicts the consumers use the credit card behaviors. It is ...
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Chapter and Conference Paper
Step-by-Step Regression: A More Efficient Alternative for Polynomial Multiple Linear Regression in Stream Cube
Facing tremendous and potentially infinite stream data, it is impossible to record them entirely. Thus synopses are required to be generated timely to capture the underlying model for stream management systems...
