Spaceborne remote sensing effectively maps species richness across taxonomic groups in a mountain landscape by Cornelius Senf, Lisa Geres, Tobias Richter, Kristin Braziunas, Felix Glasmann, Rupert Seidl, Sebastian Seibold

“…Our results showed that a combination of EnMAP/Sentinel-1/2 performed as well or even better than airborne LiDAR data for predicting species richness, but predictive accuracies of individual spaceborne models were substantially lower. …”
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Improving kidney segmentation in pathological images: a multiscale approach to resolve fragmentation and incomplete boundaries by Muhammad Wajeeh Us Sima, Chengliang Wang, Muhammad Arshad, Jamshed Ali Shaikh, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Ammar Muthanna

“…We evaluated InFeNet on two datasets, where it outperformed state-of-the-art models, demonstrating superior accuracy and predictive performance. …”
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HSF-DETR: Hyper Scale Fusion Detection Transformer for Multi-Perspective UAV Object Detection by Yi Mao, Haowei Zhang, Rui Li, Feng Zhu, Rui Sun, Pingping Ji

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High accuracy indoor positioning system using Galois field-based cryptography and hybrid deep learning by Mohammad Mazyad Hazzazi, Prashant Kumar Shukla, Piyush Kumar Shukla, Fahad Alblehai, Sameer Nooh, Mohd Asif Shah

“…The online phase involves extracting information to improve the model’s accuracy. These features can be signal-based, spatial–temporal, motion-based, or environmental. …”
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Exponential Improvements in the Simulation of Lattice Gauge Theories Using Near-Optimal Techniques by Mason L. Rhodes, Michael Kreshchuk, Shivesh Pathak

“…We find a reduction of up to 25 orders of magnitude in space-time volume over Trotter methods for simulations of non-Abelian lattice gauge theories relevant to the standard model. …”
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Mapping Spatiotemporal Dynamic Changes in Urban CO₂ Emissions in China by Using the Machine Learning Method and Geospatial Big Data by Wei Guo, Yongxing Li, Ximin Cui, Xuesheng Zhao, Yongjia Teng, Andreas Rienow

“…The findings in this study could potentially be used to develop tailored carbon reduction strategies for different spatial scales in China.…”
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Mapping forest-agroforest frontiers in the Peruvian Amazon with deep learning and PlanetScope satellite data by Wanting Yang, Daniel Ortiz-Gonzalo, Xiaoye Tong, Dimitri Gominski, Rasmus Fensholt

“…Traditional mapping methods are hindered not only by spectral similarity between agroforests and forests, but also by the spatial heterogeneity of forest-agroforest frontiers and the high data demand at large scales is an additional challenge. …”
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Enhancing 3D A* path planning of intelligent bridge crane based on energy efficiency criteria by Heng YANG, Yue LI, Min LIU, Qing DONG

“…Finally, considering the spatial arrangement and operation of the bridge crane in a factory building as an example, environment modeling is conducted on the MATLAB platform, the virtual obstacle is built at the same scale, the operation scheme of the bridge crane lifting the weight at different heights is conducted, and the multi-scheme path planning is conducted before and after the improvement of the algorithm. …”
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Urban Built Environment Perceptions and Female Cycling Behavior: A Gender-Comparative Study of E-bike and Bicycle Riders in Nanjing, China by Yayun Qu, Qianwen Wang, Hui Wang

“…This study combined the Social Ecological Model (SEM) with the theoretical perspective of Gendered Spatial Experience to explore the differentiated impacts of the Perceived Street Built Environment (PSBE) on the cycling behavior of men and women. …”
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Ecological Network Construction Based on Ecosystem Services and Landscape Pattern Indices in the Tabu River Basin by Weichen Zhang, Yuyang Fan, Bojie Wang

“…In this study, we aimed to identify ecological sources of the Tabu River Basin by quantifying five key ecosystem services and using a morphological spatial pattern analysis model. We further optimized resistance surfaces using landscape pattern indices, constructed an ecological network, and provided recommendations for sustainable management. …”
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Assessment of the temporal variations of surface water bodies in Dhaka City using Landsat imagery by Md Rayhan, Md Mahin Mobarrat, Maiesha Nujhat, Ronjan Kumar Paul, Md Khairul Amin

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Simulated Directional Wave Spectra of the Wind Sea and Swell under Typhoon Mangkhut by Yu Yan, Mengxi Hu, Yugen Ni, Chunhua Qiu

“…A third-generation wave model is driven by the synthetic wind field combined with the revised Holland wind and surface wind product from the National Centers for Environmental Prediction (NCEP). …”
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The Samples and Binary Fractions of Red Supergiants in M31 and M33 by the HST Observations by Min Dai, Shu Wang, Biwei Jiang, Ying Li

“…These results are in good agreement with predictions from the Binary Population and Spectral Synthesis binary evolution model.…”
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Assessment of Normalized Difference Vegetation Index based vegetation dynamics for monitoring rice growth and yield forecasting in the Mahaweli H region of Sri Lanka by Ganewatte Visal P., Abannikov Victor N., De Seram Osanda L., Wijayaratne Bimasha S., Vichare Aniket S.

“…In the regions of Talawa, Meegalewa, and Galnewa, negative correlation coefficients were recorded. Yield forecasting models developed for the subregions with positive correlations demonstrated high accuracy, confirming the potential of Normalized Difference Vegetation Index as a reliable indicator for rice yield prediction. …”
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Forecast of oil and gas reservoirs of the Sea of Okhotsk based on interpretation processing of seismic material by А. К. Shatyrov

“…Forecasting of oil and gas prospects in the Okhotsk Sea in areas where there is no deep drilling can be carried out using the following technologies: detailing the structural and tectonic structure of hydrocarbon traps; multi-feature prediction of hydrocarbon deposits; decomposition of the dispersion of the wave field; low-frequency resonance of seismic emission geodynamic noise; selection of oil and gas-containing objects.…”
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The Effect of Construction Workers’ Work Resilience on Their Leisure Sports Participation: The Mediating Role of Safety and Health Awareness by Yujie Zhang, Shushan Deng, Sen Chen, Zhenning Yao, Yuyang Hou, Qian Huang, Zijian Liu

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A Hybrid Deep Learning Approach for Bearing Fault Diagnosis Using Continuous Wavelet Transform and Attention-Enhanced Spatiotemporal Feature Extraction by Muhammad Farooq Siddique, Faisal Saleem, Muhammad Umar, Cheol Hong Kim, Jong-Myon Kim

“…The model is initially trained on a controlled laboratory bearing dataset and further validated on real and artificial subsets of the Paderborn bearing dataset, demonstrating strong generalization across diverse fault conditions. t-SNE visualizations confirm clear separability between fault categories, supporting the model’s capability for precise and reliable feature learning and strong potential for real-time predictive maintenance in complex industrial environments.…”
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Numerical simulation study of shear-seepage characteristics of fractured network under constant normal stiffness by YU Liyuan, WANG Xiaolin, YANG Hanqing, LIU Richeng, LI Shuchen

“…These insights refine predictive models for hydraulic fracturing, geothermal reservoir management, and subsurface storage under shear-dominated regimes.…”
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Simulation of the African ITCZ during austral summer seasons and ENSO phases: application of an RCM derived from stretched grid ESM by Teke S. Ramotubei, Teke S. Ramotubei, Willem A. Landman, Mohau J. Mateyisi, Shingirai S. Nangombe, Asmerom F. Beraki, Asmerom F. Beraki

“…IntroductionClimate predictability across timescales in a changing climate presents a unique opportunity and challenges for state-of-the-art climate models. …”
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Estimation of soil organic carbon content and dynamics in Mediterranean climate regions considering long-term monthly climatic conditions by Lei Shen, Wei Zhang, Duanqiang Zhai, Shuo Han, Shuang Tian

“…Results showed that the introduction of long-term average monthly climate data significantly improved the prediction accuracy of the models. The R2 value of the RF model was enhanced by 0.22, whilst the R2 of the LightGBM model improved by 0.20–0.21. …”
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