Spatial Position Reasoning of Image Entities Based on Location Words by Xingguo Qin, Ya Zhou, Jun Li

“…The incorporation of spatial position terms into the model was observed to elevate the average predictive accuracy by approximately three percentage points.…”
Get full text

Predicting changes in maximum temperatures in the mid-future period in Sistan and Baluchestan under SSP scenarios by abdolreza kashki, ghorban jafari

“…IDW interpolation in GIS was used to map spatial temperature changes. Paired-sample t-tests evaluated differences between baseline and mid-future periods.Finding: The CanESM5 model performed best in predicting temperature changes. …”
Get full text

Ecological epidemiology insights into clonorchiosis endemicity in Guangxi, China and Vietnam: a comprehensive machine learning analysis by Jin-Xin Zheng, Hui‐Hui Zhu, Shang Xia, Men‐Bao Qian, Robert Bergquist, Hung Manh Nguyen, Xiao‐Nong Zhou

“…Logistic regression achieved the highest predictive accuracy (AUC = 0.941). Climatic comparisons showed that Vietnam had a higher annual mean temperature (Bio1: 23.37 °C vs. 20.86 °C), greater temperature seasonality (Bio4: 609.33 vs. 464.92), and higher annual precipitation (Bio12: 1731.64 mm vs. 1607.56 mm) than Guangxi, contributing to spatial differences in endemicity. …”
Get full text

The Historical Evolution and Significance of Multiple Sequence Alignment in Molecular Structure and Function Prediction by Chenyue Zhang, Qinxin Wang, Yiyang Li, Anqi Teng, Gang Hu, Qiqige Wuyun, Wei Zheng

“…Recent breakthroughs in AI, particularly in protein and nucleic acid structure prediction, rely heavily on the accuracy and efficiency of MSAs to enhance remote homology detection and guide spatial restraints. …”
Get full text

Integrated multi-omics analysis reveals the functional and prognostic significance of lactylation-related gene PRDX1 in breast cancer by Qinqing Wu, Qinqing Wu, Heng Cao, Jiangdong Jin, Dongxu Ma, Yixiao Niu, Yixiao Niu, Yanping Yu, Yanping Yu, Xiang Wang, Yiqin Xia

“…The prognostic model constructed based on the gene expression profile of PRDX1-positive monocytes demonstrated high accuracy in predicting patient survival in both the training and validation cohorts. …”
Get full text

Advancements in Technologies and Methodologies of Machine Learning in Landslide Susceptibility Research: Current Trends and Future Directions by Zongyue Lu, Genyuan Liu, Zhihong Song, Kang Sun, Ming Li, Yansi Chen, Xidong Zhao, Wei Zhang

“…Additionally, it delves into discussions concerning model interpretability and spatial heterogeneity issues. …”
Get full text

Ongoing invasions by American bullfrogs and red-eared sliders in the Republic of Korea by Desiree Andersen, Amaël Borzée, Yikweon Jang

Get full text

Spatial differentiation and endogenous driving mechanisms of China’s energy transition by WANG Qi, MA Li

“…However, regional carbon emission reduction pressures and innovation investments have become important driving forces for regional energy transition in the new period. (3) The driving factors and their effects on energy transitions in these provinces were characterized by significant spatial and temporal heterogeneity. …”
Get full text

Post-Disaster Recovery Effectiveness: Assessment and Prediction of Coordinated Development in the Wenchuan Earthquake-Stricken Areas by Liang Zhao, Chunmiao Zhang, Xia Zhou

“…By constructing a framework to assess post-disaster coordinated development, this study utilized the entropy weight method and mean-variance method for the comprehensive weighting of evaluation indicators. The gray system prediction model G(1,1) was used to forecast the coordinated development levels of the three cities from 2019 to 2025. …”
Get full text

Multi-stage deep learning artifact reduction for parallel-beam computed tomography by Jiayang Shi, Daniël M. Pelt, K. Joost Batenburg

Get full text

Large-scale Application of Radiative Sky Cooling in Buildings for Carbon Emission Reduction by Xu Dikai, Sheng Mingfeng, Yang Ronggui, Zhao Dongliang

“…Regarding the building type, residential and industrial buildings were found to have higher carbon reduction rates. The spatial distribution of the carbon reduction rate in China was also analyzed. …”
Get full text

A Multi-Granularity Features Representation and Dimensionality Reduction Network for Website Fingerprinting by Yaojun Ding, Bingxuan Hu

“…To address the problem of concept drift, this paper presents a multi-granularity features representation and dimensionality reduction network for Website Fingerprinting, referred to as LRCT. …”
Get full text

Multispheroidal model of magnetic field of uncertain extended energy-saturated technical object by B. I. Kuznetsov, T. B. Nikitina, I. V. Bovdui, K. V. Chunikhin, V. V. Kolomiets, B. B. Kobylianskyi

“…Coordinates of the geometric location and magnitudes of spatial extended spheroidal harmonics of spheroidal sources of multispheroidal model of magnetic field calculated as magnetostatics geometric inverse problems solution in the form of nonlinear minimax optimization problem based on near field measurements for prediction far extended technical objects magnetic field magnitude. …”
Get full text

Global distribution prediction and ecological conservation of basking shark (Cetorhinus maximus) under integrated impacts by Runlong Sun, Kaiyu Liu, Wenhao Huang, Xiao Wang, Hongfei Zhuang, Zongling Wang, Zhaohui Zhang, Linlin Zhao

“…This study employs various environmental variables and distribution data to construct a global species distribution model for basking sharks, predicting their distribution patterns under current and future climate scenarios. …”
Get full text

A dissimilarity-adaptive cross-validation method for evaluating geospatial machine learning predictions with clustered samples by Yanwen Wang, Mahdi Khodadadzadeh, Raúl Zurita-Milla

Get full text

Predicting the Potential Geographic Distribution of <i>Phytophthora cinnamomi</i> in China Using a MaxEnt-Based Ecological Niche Model by Xiaorui Zhang, Haiwen Wang, Tingting Dai

“…Utilizing species occurrence records and 35 environmental variables (|R| < 0.8), we employed the MaxEnt model and ArcGIS spatial analysis to systematically predict the potential geographical distribution of <i>P. cinnamomi</i> under current (1970–2000) and future (2030S, 2050S, 2070S, 2090S) climate scenarios across three Shared Socioeconomic Pathways (SSPs). …”
Get full text

Evaluation and Prediction of Wind Power Utilization Efficiency Based on Super-SBM and LSTM Models: A Case Study of 30 Provinces in China by Chengyu Li, Qunwei Wang, Peng Zhou

“…This study establishes the improved super-efficiency slack-based measure (Super-SBM) model and long short-term memory (LSTM) network models, systematically and comprehensively measures and predicts the wind power utilization efficiency of 30 regions in China from 2013 to 2020, and explores regional differences in wind power utilization efficiency. …”
Get full text

Rapid Simulation of Floods by Considering the Spatial and Temporal Characteristics of Inundation by Rukai Wang, Jijian Lian, Ximin Yuan, Fuchang Tian, Kuang Li, Zhanyou Liu

Get full text

Slope Deformation Prediction Combining Particle Swarm Optimization-Based Fractional-Order Grey Model and <i>K</i>-Means Clustering by Zhenzhu Meng, Yating Hu, Shunqiang Jiang, Sen Zheng, Jinxin Zhang, Zhenxia Yuan, Shaofeng Yao

“…Additionally, we employ a <i>k</i>-means clustering technique to account for both temporal and spatial variations in multi-point monitoring data, which improves the model’s ability to capture the relationships between monitoring points and increases prediction relevance. …”
Get full text

Prediction of fish (Coilia nasus) catch using spatiotemporal environmental variables and random forest model in a highly turbid macrotidal estuary by Vishal Singh Rawat, Gubash Azhikodan, Katsuhide Yokoyama

“…The results revealed that model M19, which incorporated salinity, SSC, and discharge, achieved the highest predictive accuracy (R2 = 0.89) and closely matched actual field conditions. …”
Get full text