Contribution of Greening and High-Albedo Coatings to Improvements in the Thermal Environment in Complex Urban Areas by Bonggeun Song, Kyunghun Park

“…The RMSE deviation of the predicted and actual field temperature values was 3–6°C; however, the explanatory power was as high as 60%. …”
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Landscape Pattern Changes and Ecological Vulnerability Assessment in Mountainous Regions: A Multi-Scale Analysis of Heishui County, Southwest China by Weiqi Gu, Hong Fu, Wen Jin

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Quantitative inversion of integrated hyperspectral and optical remote sensing images to monitor dust distribution in open pit mines by Simin Feng, Jin Zhang

“…The ZY1-02E satellite demonstrates high feasibility and accuracy in AOD inversion, and the results obtained effectively illustrate the spatial distribution of dust pollution. This highlights the potential for aerosol remote sensing inversion using hyperspectral satellite data, providing effective means for regional dust monitoring, and a scientific basis for subsequent development of dust reduction measures.…”
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Classification and spectrum optimization method of grease based on infrared spectrum by Xin Feng, Yanqiu Xia, Peiyuan Xie, Xiaohe Li

“…The results show that this machine learning method can effectively eliminate the interference fringes in the IR spectrum, and complete the feature selection and dimensionality reduction of the high-dimensional spectral data. The 63 kinds of greases exhibit spatial clustering under certain IR spectrum recognition spectral bands, which are linked to characteristic peaks of lubricating greases and improve the recognition accuracy of these greases. …”
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An Improved Wavelet Soft-Threshold Function Integrated with SVMD Dual-Parameter Joint Denoising for Ancient Building Deformation Monitoring by Jiaxing Zhao, Houzeng Han, Yang Deng, Youqiang Dong, Jian Wang, Wenjin Chen

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Multi-modal action recognition via advanced image fusion techniques for cyber-physical systems by Zaiyong Shou, Daoyu Zhu

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Symbiotic relationship and attribution analysis of digitalization in agriculture, rural, and finance: evidence from China by Xiaojuan Yang, Kai Liu, Weiwei Li, Weiwei Li

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Intelligent Environmental Health Risk Assessment System for the Elderly in Cold Regions Based on Artificial Intelligence Integrated Development Environment by Tianheng ZHANG, Yao FU, Jian GAO, Huanran XUE

“…Five-fold cross-validation confirms model stability with a CV coefficient of 0.092. Overall model fit achieves an R² value of 0.87, with prediction interval coverage reaching 93.8%, demonstrating strong explanatory power and reliability. …”
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Revisiting the distribution and total amount of nitrogen fixation across the Kuroshio by Takuya Sato, Takuhei Shiozaki, Shota Takino, Kiyotaka Hidaka, Tamaha Yamaguchi, Daiki Ito, Daisuke Ambe, Sayaka Sogawa, Takashi Setou, Yugo Shimizu, Taketoshi Kodama, Kazutaka Takahashi

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Mapping the Cerrado–Amazon Transition Using PlanetScope–Sentinel Data Fusion and a U-Net Deep Learning Framework by Chuanze Li, Angela Harris, Beatriz Schwantes Marimon, Ben Hur Marimon Junior, Matthew Dennis, Polyanna da Conceição Bispo

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Digital twin-enabled post-disaster damage and recovery monitoring with deep learning: leveraging transfer learning, attention mechanisms, and explainable AI by Umut Lagap, Saman Ghaffarian

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Seamless global daily soil moisture mapping using deep learning based spatiotemporal fusion by Menghui Jiang, Tian Qiu, Ting Wang, Chao Zeng, Boxuan Zhang, Huanfeng Shen

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Efficient remote sensing image classification using the novel STConvNeXt convolutional network by Bo Liu, Chenmei Zhan, Cheng Guo, Xiaobo Liu, Shufen Ruan

“…Ablation studies further confirm the effectiveness of each module design, particularly demonstrating that the model maintains excellent classification accuracy despite a substantial reduction in parameters.…”
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Approach to analysis of inter-regional similarity of investment activity support measures in legislation of regions (on the example of Krasnoyarsk region) by Valentina F. Lapo

“…The proximity coefficient matrix will be especially useful in spatial econometric models. The offered approach and parameters can be applied to research the other positions of the regional legislation.…”
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Signatures of High‐Latitude Waves in Observations of Geomagnetic Acceleration by Rodrigo Chi‐Durán, Margaret S. Avery, Bruce A. Buffett

“…Magnetic Rossby waves produce a high‐latitude response with suitable phase velocities. However, the spatial complexity of the prediction is not compatible with the observations. …”
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Adaptive GCN and Bi-GRU-Based Dual Branch for Motor Imagery EEG Decoding by Yelan Wu, Pugang Cao, Meng Xu, Yue Zhang, Xiaoqin Lian, Chongchong Yu

“…These challenges are exacerbated by the low spatial resolution and high signal redundancy inherent in EEG signals, which traditional linear models struggle to address. …”
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I-AIR: intention-aware travel itinerary recommendation via multi-signal fusion and spatiotemporal constraints by Xiao Cui, Zhihua Wang, Ping Li, Qiang Xu

“…Abstract Personalized travel itinerary recommendation aims to suggest ordered sequences of points of interest (POIs) that align with user preferences while respecting temporal and spatial constraints. Although traditional methods have made progress in next-POI prediction and route planning, they often rely on static user preferences and overly simplistic spatial assumptions, overlooking contextual variability and non-linear distance effects. …”
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Driving Factors in the Development of Eye Movement Patterns in Chinese Reading: The Roles of Linguistic Ability and Oculomotor Maturation by Meihua Guo, Nina Liu, Jingen Wu, Chengchieh Li, Guoli Yan

“…Path analysis explored how these factors predict temporal and spatial eye movement measures. …”
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Using the Remote Sensing Method to Simulate the Land Change in the Year 2030 by Burcu Degerli, Mehmet Çetin

“…The predictive values of the LU/LC change that will occur in 2030, calculated with the MLP‑ANN model based on Machine Learning algorithms and mapped with the QGIS 3.16 program. …”
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Past influences present: Mammalian species from different biogeographic pools sort environmentally in the Indian subcontinent by Krishnapriya Tamma, Aniruddha Marathe, Uma Ramakrishnan

“…Additionally, biogeographic groups sorted along environmental space, in keeping with our predictions based on their global distributions. Finally, analyses across mammalian orders had low predictive value, suggesting that shared phylogenetic history is relatively less important than biogeographic ancestry in determining relationships to environment. …”
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