Simulation of urban land expansion in China at 30 m resolution through 2050 under shared socioeconomic pathways
Rapid urbanization has profoundly impacted social and environmental systems. China is the
world's largest developing country. Projecting future urban expansion in China is critical to …
world's largest developing country. Projecting future urban expansion in China is critical to …
VST-PCA: A Land Use Change Simulation Model Based on Spatiotemporal Feature Extraction and Pre-Allocation Strategy
M Liu, Q Luo, J Wang, L Sun, T Xu, E Wang - ISPRS International Journal …, 2024 - mdpi.com
Land use/cover change (LUCC) refers to the phenomenon of changes in the Earth's surface
over time. Accurate prediction of LUCC is crucial for guiding policy formulation and resource …
over time. Accurate prediction of LUCC is crucial for guiding policy formulation and resource …
Optimization of ecological network function and structure by coupling spatial operators and biomimetic intelligent algorithm
Z Tong, Z Zhang, Y Lu, Y Liu, R An, X Luo, S Liu… - Journal of Cleaner …, 2024 - Elsevier
Ecological networks (ENs) can maintain regional ecological security and reconcile the
contradiction between development and conservation. Optimization of ENs is crucial for …
contradiction between development and conservation. Optimization of ENs is crucial for …
Development of a parallel computing-based Futureland model for multiple land-use simulation: a case study in Shanghai
Predicting future urban land-use scenarios and assessing their encroachment on ecological
land is important for sustainability policy formulation. This study develops a new Futureland …
land is important for sustainability policy formulation. This study develops a new Futureland …
A parallel framework on hybrid architectures for raster-based geospatial cellular automata models
Geospatial cellular automata (Geo-CA) models have encountered challenges in computing
efficiency and scalability when conducting large-scale land use change simulation …
efficiency and scalability when conducting large-scale land use change simulation …
[HTML][HTML] Multiple Land-Use Simulations and Driving Factor Analysis by Integrating a Deep Cascade Forest Model and Cellular Automata: A Case Study in the Pearl …
Cellular automata (CA) models have been extensively employed to predict and understand
the spatiotemporal dynamics of land use. Driving factors play a significant role in shaping …
the spatiotemporal dynamics of land use. Driving factors play a significant role in shaping …
A high‐performance cellular automata model for urban expansion simulation based on convolution and graphic processing unit
H Zeng, H Wang, B Zhang - Transactions in GIS, 2024 - Wiley Online Library
Cellular automata (CA) models are effective tools for simulating future urban expansion.
With the widespread use of high‐resolution geospatial data for CA simulation, the …
With the widespread use of high‐resolution geospatial data for CA simulation, the …
CAT: Cellular Automata on Tensor cores
Cellular automata (CA) are simulation models that can produce complex emergent
behaviors from simple local rules. Although state-of-the-art GPU solutions are already fast …
behaviors from simple local rules. Although state-of-the-art GPU solutions are already fast …
Systematic Review of Accelerating Time-Series Biosignal Machine Learning Processes Using GPU Architectures
E Ketola, M Imtiaz - 2024 - preprints.org
Background: Time-series biosignal data, representative of a physiological process, is often
applied to time-sensitive machine learning applications that benefit from acceleration …
applied to time-sensitive machine learning applications that benefit from acceleration …