Simulation of urban land expansion in China at 30 m resolution through 2050 under shared socioeconomic pathways

H Zhuang, G Chen, Y Yan, B Li, L Zeng… - GIScience & Remote …, 2022 - Taylor & Francis
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 …

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 …

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 …

Development of a parallel computing-based Futureland model for multiple land-use simulation: a case study in Shanghai

M Xi, Y Feng, X Tong, F Gao, P Li, R Wang… - Geocarto …, 2023 - Taylor & Francis
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 …

A parallel framework on hybrid architectures for raster-based geospatial cellular automata models

H Gao, Z Liang, Q Guan, X Liang… - International Journal of …, 2024 - Taylor & Francis
Geospatial cellular automata (Geo-CA) models have encountered challenges in computing
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 …

H Zhuang, X Liu, Y Yan, B Li, C Wu, W Liu - Remote Sensing, 2024 - mdpi.com
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 …

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 …

CAT: Cellular Automata on Tensor cores

CA Navarro, FA Quezada, E Meneses… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …

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 …