Present-day changes of mountain glaciers on the southern slope of the Dzhungarian Alatau range by A. L. Kokarev, I. N. Shesterova

“…Glacierization of southern slope of the Dzhungarian (Zhetysu) Alatau range was estimated by means of data obtained by operational satellite Landsat 7 surveys on August 19 and September 2011 (sensors ETM+) with the use of digital relief models (ASTER GDEM). Analysis of these materials by means of computer programs ENVI, ERDAS Imagine, MapInfo, and ArcGIS made it possible to obtain a spatial information of glacier systems of the territory under investigation and to define morphological characteristics of glaciers, present-day moraine complexes, glacier lakes as well as other elements of glacial monitoring at the survey moments. …”
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Dual-Channel Dynamic Gated Spatio-Temporal Graph for Traffic Flow Forecasting by Chao Wang, Jun-Feng Hao, He Huang, Wang Zou, Xia Sun, Ting Peng

“…Additionally, the predefined static graph structure fails to adequately capture the dynamic spatial features of traffic flow. To address the these challenges, this paper proposes a Dual-Channel Dynamic Gated Spatio-Temporal graph network (DC-DGST) for traffic flow prediction. …”
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Bridging Sensor Gaps via Attention-Gated Tuning for Hyperspectral Image Classification by Xizhe Xue, Haokui Zhang, Haizhao Jing, Lijie Tao, Zongwen Bai, Ying Li

“…Instead of inserting additional parameters inside the basic model, we train a lightweight auxiliary branch that takes intermediate features as input from the basic model and makes predictions. …”
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Shafranov-shift destabilization of ballooning-type micro-instabilities by X. Jian, V. Chan, Z. Qiu, S. Ding, C. Holland, E. Bass, A. Garofalo, X. Liu

“…The reduced transport model TGLF can capture the physics reasonably well.…”
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Multiscale Two-Stream Fusion Network for Benggang Classification in Multi-Source Images by Xuli Rao, Chen Feng, Jinshi Lin, Zhide Chen, Xiang Ji, Yanhe Huang, Renguang Chen

“…Experimental comparisons of different data inputs and network models revealed that the proposed method outperformed current state-of-the-art approaches in extracting spatial features and textures of Benggangs. …”
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AI-augmented pathology: the experience of transfer learning and intra-domain data diversity in breast cancer metastasis detection by Manuel Cossio, Nina Wiedemann, Esther Sanfeliu Torres, Esther Barnadas Sole, Laura Igual

“…To enhance interpretability, we developed a visualization tool that employs color-coded probability maps to highlight tumor regions alongside their prediction confidence. Our experiments demonstrated that integrating an external dataset (Camelyon16) during training significantly improved model performance, surpassing the benefits of data augmentation alone. …”
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Temporal generalization in evergreen leaf type classification using tailored Sentinel-2 composites by Peter Hofinger, Jan Dempewolf, Simon Ecke, Hans-Joachim Klemmt

“…Existing mapping approaches frequently suffer from spatial resolution limitations and temporal constraints. …”
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Interpretable longitudinal glaucoma visual field estimation deep learning system from fundus images and clinical narratives by Xiaoling Huang, Xiangyin Kong, Yan Yan, Zhiyuan Gao, Zihan Li, Chun Zhang, Kai Jin, Juan Ye

“…The pointwise mean absolute error across five models ranged from 3.098 to 4.131 dB. Heatmaps demonstrated the spatial relationship between fundus damage and vision loss. …”
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Explainable AI Meets Synthetic Data: A Deep Learning Framework for Detecting Network Intrusion in NextG Network Infrastructure by Md Junayed Hossain, Khorshed Alam, Md Fahad Monir, Md Mozammal Hoque, Tarem Ahmed

“…Furthermore, we integrate Local Interpretable Model-Agnostic Explanations (LIME) to make model predictions transparent, increasing trust and usability for practical deployment. …”
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Planning for the future, algae bloom dynamics in water management and ecosystem restoration efforts by Paul Julian, William W. Walker, Donatto Surratt, Stephen E. Davis

“…The second model was a hierarchical model that used hydrodynamic and biogeochemical variables to predict chlorophyll-a concentrations across the lake. …”
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Study on the influence of complex fault geometry on earthquake risk assessment based on physical simulation: a case study of the Zhujiangkou Fault in the Guangdong–Hong Kong–Macao... by Houyun Yu, Yilong Li, Xiuwei Ye, Wenqiang Wang, Chunjing Wang, Zhenguo Zhang, Wei Zhang, Xiaofei Chen

“…Dynamic rupture simulations offer a physics-based approach to model earthquake processes and assess seismic hazards. …”
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The Intentional and Unintentional Human Food Subsidy Landscape for a Large Carnivore by Matthew M. Smith, David M. MacFarland, Jennifer L. Price Tack, Jonathan N. Pauli

“…We then predicted a human subsidy landscape that explored the spatial variation between intentional and unintentional sources and modeled the relationship between human food subsidies and conflict. …”
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Mapping Soil Organic Matter in Black Soil Cropland Areas Using Remote Sensing and Environmental Covariates by Yu Zhang, Chong Luo, Wenqi Zhang, Zexin Wu, Deqiang Zang

“…Combining three types of environmental covariates such as drainage, climate and topography, the study area was categorized into dry field and paddy field. Then, the SOM prediction model was constructed using random forest regression method and the accuracy of different strategies was evaluated by 10-fold cross-validation. …”
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Carbon balance dynamic evolution and simulation coupling economic development and ecological protection: a case study of Jiangxi Province at county scale from 2000–2030 by Yuliang Deng, Min Huang, Daohong Gong, Yong Ge, Hui Lin, Daoye Zhu, Yong Chen, Orhan Altan

“…This study introduces an analytical framework that couples economic development with ecological protection by using coupling coordination degree analysis, carbon balance zoning, and the Markov-PLUS model. Taking Jiangxi Province as a case study, we evaluate the spatio-temporal dynamics of carbon balance from 2000–2020 and predict future trends for 2030 under four potential development scenarios. …”
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Detection of Apple Proliferation Disease Using Hyperspectral Imaging and Machine Learning Techniques by Uwe Knauer, Sebastian Warnemünde, Patrick Menz, Bonito Thielert, Lauritz Klein, Katharina Holstein, Miriam Runne, Wolfgang Jarausch

“…Including spatial distribution of spectral data further improves the results to 0.751. …”
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The impact of future changes in climate variables and groundwater abstraction on basin-scale groundwater availability by S. R. Rusli, S. R. Rusli, V. F. Bense, S. M. T. Mustafa, A. H. Weerts, A. H. Weerts

“…In addition, three plausible groundwater abstraction scenarios with diverging predictions from increasing, constant, and decreasing volumes and spatial distributions are used. …”
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<i>Plasmodium falciparum</i> parasite prevalence in East Africa: Updating data for malaria stratification. by Victor A Alegana, Peter M Macharia, Samuel Muchiri, Eda Mumo, Elvis Oyugi, Alice Kamau, Frank Chacky, Sumaiyya Thawer, Fabrizio Molteni, Damian Rutazanna, Catherine Maiteki-Sebuguzi, Samuel Gonahasa, Abdisalan M Noor, Robert W Snow

“…Bayesian spatiotemporal model-based approaches were used to interpolate space-time data at fine spatial resolution adjusting for population, environmental and ecological covariates across the three countries. …”
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Remote Sensing Estimation of CDOM for Songhua River of China: Distributions and Implications by Pengju Feng, Kaishan Song, Zhidan Wen, Hui Tao, Xiangfei Yu, Yingxin Shang

“…Multiple linear regression and five machine learning models were used to analyze the data. Among these models, XGBoost demonstrated a superior, highly stable performance on the validation set (R² = 0.85, RMSE = 0.71 m⁻¹). …”
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Relationship between stratigraphic overlap and sedimentary facies evolution of the Junggar Basin, Northwest China by Yuanpei Zhang, Qingchun Meng, Fajun Guo, Aihua Yan, Jun Xie, Hongmei Wang, Zaihe Chen, Xuecai Zhang

“…Abstract The interaction between the topography of the slope zone on the edge of the basin and the distribution of sediments is crucial for accurately predicting sediment distribution, but few studies emphasize the impact of stratigraphic overlap on the spatial evolution of sedimentary facies. …”
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Myocardial electrical instability score: clinical and prognostic significance by A. V. Frolov, T. G. Vaykhanskaya, O. P. Melnikova, A. P. Vorobev, A. G. Mrochek

“…Statistically significant differences were found between the values of T wave alternation, QT interval, fragmented QRS and QRS-T angle in groups 1 and 3 (-VTA) and (+VTA), p<0,005.Personalized model was formed for predicting the risk of life-threatening VTA (primary endpoints: pVT, appropriate CVD discharges, CPR, SCD) in patients with CAD and non-ischemic pathologies (cardiomyopathy, channelopathy) in 5 years follow-up. …”
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