Landslide spatial prediction using data-driven based statistical and hybrid computational intelligence algorithms by Xia Zhao, Wei Chen, Paraskevas Tsangaratos, Ioanna Ilia, Qingfeng He

“…Optimization of landslide susceptibility model driven by geological environment: a key challenge for disaster reduction in mountainous areas. …”
Get full text

Urban Signalized Intersection Traffic State Prediction: A Spatial–Temporal Graph Model Integrating the Cell Transmission Model and Transformer by Anran Li, Zhenlin Xu, Wenhao Li, Yanyan Chen, Yuyan Pan

“…In this framework, cells are modeled as nodes in a directed graph, with dynamic connections representing variations in signal phases, thereby embedding spatial relationships and signal information within dynamic graphs. …”
Get full text

An AI-based gravitrap surveillance for spatial interaction analysis in predicting aedes risk by Hsiang-Yu Yuan, Pei-Sheng Lin, Wei-Liang Liu, Tzai-Hung Wen, Yu-Chun Lu, Chun-Hong Chen, Li‑Wei Chen

“…Information from neighboring villages is incorporated into the model to enhance precision of risk prediction. Results The proposed AI gravitrap index integrates the auto-Markov and disease mapping models to enhance sensitivity in risk prediction for Aedes densities. …”
Get full text

Spatial and temporal evolution and prediction of soil erosion in the urban agglomeration on the northern slopes of the Tianshan Mountains in China by Zhaojin Yan, Fulin Mao, Rong He, Hui Yang, Hui Ci, Ran Wang

“…To better understand the changes in soil erosion and future development trends of the urban agglomeration on the northern slopes of the Tianshan Mountains, multi-source data on soil, topography, and meteorology were utilized with the RUSLE model to evaluate spatial and temporal characteristics, and the CA-Markov model was used to predict land use/land cover (LULC) changes and soil erosion conditions under various scenarios. …”
Get full text

Spatial and Temporal Changes and Prediction of Habitat Quality in Key Ecological Function Area of Hu'nan Province by Zheng Yunyou, Liu Yanting, Yao Peng, Xie Xianjun, Zhang Guangjie, Deng Chuxiong

“…[Methods] The land use transfer matrix was obtained based on the land use change data of 2009, 2012, 2015, 2018 and 2021, and the spatial-temporal distribution characteristics of land use structure and habitat quality in Nanyue key ecological function area were analyzed and predicted by InVEST model and CA-Markov model. …”
Get full text

Machine learning based risk analysis and predictive modeling of structure fire related casualties by Andres Schmidt, Eric Gemmil, Russ Hoskins

“…Our results show that the age of victims, fire service response times, and availability of working smoke or fire detectors were among the most important parameters for predicting fatal outcomes of structure fires. Furthermore, a predictive Bayesian regularized neural network ensemble classifier was developed to model the severity of casualties and project a spatial risk classification on the census block level. …”
Get full text

Pedestrian trajectory prediction model based on self-supervised spatiotemporal graph network by Shiji Yang, Xuezhong Xiao

Get full text

Analysis of Temporal and Spatial Evolution Characteristics and Peak Prediction of Carbon Emissions in China Under the Dual-Carbon Target: A Case Study of Heilongjiang Province by Zhongxia Yu, Mingcong Zhang, Yingce Zhan, Yongxia Guo, Yuxian Zhang, Xiaoyan Liang, Chen Wang, Yuxin Fan, Mingfen Shan, Haiqing Guo, Wei Zhou

Get full text

Modeling and predicting of the spatial variations Precipitation cores in Iran by hossein naserzadeh, fariba sayadi, meysam toulabi nejad

“…The first type of data is the monthly precipitation of 86 synoptic stations with the statistical period of 1986-1989 and the second type of predicted data from the output of the CCSM4 model under the three scenarios (RCP2.6, RCP4.5, and RCP6) from 2016 to 2036. …”
Get full text

Enhancing land use planning through integrating landscape analysis and flood inundation prediction Bekasi City’s in 2030 by Novia Fitriyati, Hadi Susilo Arifin, R. L. Kaswanto, Marimin

Subjects: Get full text

Characterizing, predicting, and mapping of soil spatial variability in Gharb El-Mawhoub area of Dakhla Oasis using geostatistics and GIS approaches by Salman Selmy, Salah Abd El-Aziz, Ahmed El-Desoky, Moatez El-Sayed

“…The current study was undertaken in the Gharb El-Mawhoub area of Dakhla Oasis to determine, predict, map, and assess the spatial variation of physicochemical attributes. …”
Get full text

Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-research on ARIMA-BP neural network algorithm by Sanglin Zhao, Zhetong Li, Hao Deng, Xing You, Jiaang Tong, Bingkun Yuan, Zihao Zeng

“…Based on the energy consumption data of 30 provinces in China from 2000 to 2021, this paper calculates and predicts the total carbon emissions of 30 provinces in China from 2000 to 2035 based on ARIMA model and BP neural network model, and uses ArcGIS and standard elliptic difference to visually analyze the spatial and temporal evolution characteristics, and further uses LMDI model to decompose the driving factors affecting carbon emissions. …”
Get full text

Urban Fire Spatial–Temporal Prediction Based on Multi-Source Data Fusion by Haiyu Xiang, Lizhi Wu, Zidong Guo, Shaoyun Ren

“…Temporal variables, such as past fire incidents and external influences like meteorological conditions, significantly impact fire risk, while spatial attributes, including regional characteristics and cross-regional interactions, further complicate predictive modeling. …”
Get full text

Flood Classification and Improved Loss Function by Combining Deep Learning Models to Improve Water Level Prediction in a Small Mountain Watershed by Rukai Wang, Ximin Yuan, Fuchang Tian, Minghui Liu, Xiujie Wang, Xiaobin Li, Minrui Wu

Get full text

Exploring and Modeling the Spatial Variability of Soil Erosion in Tana Basin, Northwestern Ethiopia by Derege Tsegaye Meshesha, Anteneh Wubet Belay, Gizachew Ayalew Tiruneh, Enyew Adgo, Tiringo Yilak Alemayehu, M. Chandrakala, José Miguel Reichert

Get full text

Spatial distribution prediction of pore pressure based on Mamba model by Xingye Liu, Xingye Liu, Bing Liu, Wenyue Wu, Qian Wang, Yuwei Liu

“…Advanced seismic inversion techniques are then employed to obtain three-dimensional elastic properties like subsurface velocity and density, which serve as input features for the trained deep learning model.ResultsThrough complex nonlinear mappings, the model effectively captures the intrinsic relationship between input attributes and formation pressure, enabling accurate spatial distribution prediction of formation pore pressure. …”
Get full text

Numerical simulation for spray spatial distribution of swirl nozzle and its target dustfall area prediction by Cuicui Xu, Xinyu Jia, Jingjing Jing, Junpeng Wang, Qingyi Mi, Gang Zhou, Lirong Wu

Get full text

Predictive Modeling of Surface Subsidence Considering Different Environmental Risk Zones by Yunsong Li, Yongjun Qin, Liangfu Xie, Yangchun Yuan, Jie Ran

“…Adopt four different noise reduction algorithms for data noise reduction on the raw data of the monitoring points at the intervals of different risk zones, and combine the time series prediction as well as the deep learning prediction method to get the prediction model for environmental risk zoning based on the environmental risk zoning. …”
Get full text

Predicting the spatial distribution of water applied by subsurface drip in clay soil by Mayara O. Rocha, Amilton G. S. de Miranda, Policarpo A. da Silva, Adunias dos S. Teixeira, Fernando F. da Cunha

Get full text

Model Predictive Control of Spatially Distributed Systems with Spatio-Temporal Logic Specifications by Ikkei Komizu, Koichi Kobayashi, Yuh Yamashita

Subjects: Get full text