The use of artificial intelligence-based Siamese neural network in personalized guidance for sports dance teaching by Yi Xie, Yao Yan, Yuwei Li

“…The results show that the proposed GCN-SNN model achieves an accuracy of 96.72% and an F1 score of 86.55%, significantly outperforming other comparison models. …”
Get full text

Nondestructive estimation of leaf chlorophyll content in banana based on unmanned aerial vehicle hyperspectral images using image feature combination methods by Weiping Kong, Weiping Kong, Lingling Ma, Huichun Ye, Huichun Ye, Jingjing Wang, Chaojia Nie, Binbin Chen, Xianfeng Zhou, Wenjiang Huang, Zikun Fan

“…We concluded that the nonlinear Gaussian process regression model with the VIs and TFs-PC1 combination selected by maximal information coefficient as input achieved the highest accuracy in LCC prediction for banana, with the highest R2 of 0.776 and lowest RMSE of 2.04. …”
Get full text

Spatio-Temporal Characteristics and Driving Forces of Landscape Ecological Risks in Highly Urbanized Areas: A Case Study of Suzhou City by Lingyue LU, Dawei SHAO, Dianming WU

“…A large amount of research has concentrated on risk evolution, the identification of influencing factors or drivers, and the simulation and prediction of risks in natural areas such as watersheds, coastal zones, wetlands, and ecological reserves. …”
Get full text

Dark-YOLO: A Low-Light Object Detection Algorithm Integrating Multiple Attention Mechanisms by Ye Liu, Shixin Li, Liming Zhou, Haichen Liu, Zhiyu Li

Get full text

Challenges and Potential of Remote Sensing for Assessing <i>Salmonella</i> Risk in Water Sources: Evidence from Chile by Rayana Santos Araujo Palharini, Makarena Sofia Gonzalez Reyes, Felipe Ferreira Monteiro, Lourdes Milagros Mendoza Villavicencio, Aiko D. Adell, Magaly Toro, Andrea I. Moreno-Switt, Eduardo A. Undurraga

“…Twelve spectral indices (e.g., NDVI, NDWI, and MNDWI) were used as predictors to develop a predictive model for the presence of the pathogen, which achieved 59.2% accuracy. …”
Get full text

Normalization Strategies in Multi-Center Radiomics Abdominal MRI: Systematic Review and Meta-Analyses by Jovana Panic, Arianna Defeudis, Gabriella Balestra, Valentina Giannini, Samanta Rosati

“…The main challenge is represented by the great and unavoidable image variability which is usually addressed using different pre-processing techniques including spatial, intensity and feature normalization. The purpose of this study is to systematically summarize normalization methods and to evaluate their correlation with the radiomics model performances through meta-analyses. …”
Get full text

MCR-PFNet: A novel InSAR interferometric phase filtering method for complex noise and large gradient deformations by Shuai Wang, Yu Chen, Kaiwen Ding, Yandong Gao, Kun Tan, Peijun Du

Get full text

LCC-Net: Swin transformer-CNN hybrid for enhanced land cover classification in natural disaster monitoring by P. Shailaja, Pala Mahesh Kumar, Nalla Nikhitha, Kunta Neeraj Kumar Reddy, Enthala Mukesh Reddy, Goli Ganesh Reddy, Vadde Indu

“…The core of LCC-Net employs the Swin Transformer Convolutional Neural Network (ST-CNN), which leverages self-attention mechanisms to capture intricate spatial features and temporal dynamics. The ST-CNN outperforms traditional CNN models by providing a better contextual understanding of land cover variations associated with different disaster scenarios. …”
Get full text

Exploring Dissipation Terms in the SPH Momentum Equation for Wave Breaking on a Vertical Pile by Corrado Altomare, Yuzhu Pearl Li, Angelantonio Tafuni

“…The performance of the dissipation schemes remained robust across three tested particle spacings, confirming consistency in force and elevation predictions. Additionally, it underscores the sensitivity of SPH predictions to spatial resolution, highlighting the need for careful calibration to ensure robust and reliable outcomes. …”
Get full text

Investigating the Relationship between Air Pollutants and Meteorological Parameters in the Agricultural Sector of Mazandaran Province Using Logistic Regression by Majid Ghorbani, Abolfazl Mahmoodi, Mohammad Khaledi

“…However, it contradicts the results of Mahneh (2015) Taste and Kakhki study, which examined the relationship between climate elements and air pollution fluctuations in Mashhad, in which relative humidity was identified as the most influential factor on CO and SO2 pollutants; On the other hand, it is noteworthy that at different stations, different elements have a significant relationship with temperature; This difference in the performance of spatial models for different stations has been confirmed in other studies. 4-Conclusion According to the findings from the studied stations, it can be said that NO2 and CO of Gulogah station and O3 of Kiasar station and SO2, NO2 and CO of Sari and Ghaemshahr pollution stations completely indicate a significant relationship among the parameters of temperature, relative humidity and wind speed. …”
Get full text

Data Management System and Software for Comprehensive Assessment of the State of the Biosphere by P. K. Shalkevich, D. S. Lavnikovich, Yu. S. Gorodnaya, A. V. Chementsova

Get full text

Unveiling the spatiotemporal propagation patterns of sentiments regarding the Israeli–Palestinian military conflict by Dajiang Wang, Songshan Yue, Yongning Wen, Kai Wu, Teng Zhong, Min Chen, Zhaoyuan Yu, Linwang Yuan, Guonian Lü

Get full text

Multi-criteria decision analysis for regional-scale flood susceptibility mapping in Kerala state, India by M. S. Kendagannaswamy, C. K. Roopa, B. S. Harish, M. S. Mukesh

“…Despite Kerala's flood vulnerability and due to its intense annual rainfall, existing flood prediction approaches often fail to provide accurate and localized risk assessments. …”
Get full text

Unleashing the potential of geostationary satellite observations in air quality forecasting through artificial intelligence techniques by C. Zhang, X. Niu, H. Wu, Z. Ding, K. L. Chan, J. Kim, T. Wagner, C. Liu, C. Liu, C. Liu

“…GeoNet leverages spatiotemporal series of satellite NO<span class="inline-formula">₂</span> observations to capture the intricate relationships among air quality, meteorology, and emissions in both temporal and spatial domains. Evaluation against ground-based measurements demonstrates that GeoNet accurately predicts diurnal variations and spatial distribution details of next-day NO<span class="inline-formula">₂</span> pollution, yielding a coefficient of determination of 0.68 and a root mean square of error of 12.31 <span class="inline-formula">µg</span> m<span class="inline-formula">⁻³</span>, significantly surpassing traditional air quality model forecasts. …”
Get full text

Delineation of future urban growth boundaries on the Qinghai-Xizang Plateau by integrating socioeconomic development and ecosystem services conservation by Qiaoxian Bai, Zhifeng Liu, Binghua Gong, Shuhui Liu, Xufeng Mao, Chunyang He

Get full text

Light-driven simultaneous active and diffusive behaviour of asymmetric microclusters using a photophoretic trap in air by Anita Pahi, Kirty Ranjan Sahoo, Biswajit Das, Shuvojit Paul, Ayan Banerjee

Get full text

Three‒Dimensional Numerical Simulation of the Breaching Process of Landslide Dams with Heterogeneous Structures by HU Xianrui, PENG Ming, FU Xiaoli, YANG Ge, ZHU Yan, SHI Zhenming, ZHANG Gongding

“…With prediction errors maintained within 10% under complex experimental conditions, this model provides a robust tool for enhancing risk assessments and emergency planning in regions prone to landslide dam breaches.…”
Get full text

Spatio-temporal dynamics of human-induced carbon emissions in Southeast Asia (1992–2022) based on nighttime light by Chaoqing Huang, Qian Wu, Yujie Chen, MinhThu Nguyen, Bin Chen, Song Hong, Chao He

Get full text

Comparing Machine Learning-Based Crime Hotspots Versus Police Districts: What&#x2019;s the Best Approach for Crime Forecasting? by Eugenio Cesario, Paolo Lindia, Andrea Vinci

“…As a result, the efficient allocation of public security resources based on spatio-temporal crime prediction models has become a critical concern for urban management. …”
Get full text

Enhanced External Counterpulsation Intervention Induces the Variation of Physiological Parameters and Shear Stress Metrics in the Carotid Artery by Zhenfeng Ren, Zi’an Wu, Yanjing Wang, Israilov Jakhongirkhon, Qianxiang Zhou, Jianhang Du

Get full text