Federated LeViT-ResUNet for Scalable and Privacy-Preserving Agricultural Monitoring Using Drone and Internet of Things Data by Mohammad Aldossary, Jaber Almutairi, Ibrahim Alzamil

“…Spectral normalization, spatial–temporal alignment, and dimensionality reduction provide reliable input representation. …”
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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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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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Hypercubes to identify geomarkers of rapid cystic fibrosis lung disease progression by Yizi Cheng, Cole Brokamp, Erika Rasnick Manning, Elizabeth L. Kramer, Patrick H. Ryan, Rhonda D. Szczesniak, Emrah Gecili

“…We embedded the hypercube within a dynamic prediction model of rapid lung function decline, in order to accommodate complexity in lung function trajectories. …”
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Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning by Navita, Pooja Mittal, Yogesh Kumar Sharma, Anjani Kumar Rai, Sarita Simaiya, Umesh Kumar Lilhore, Vimal Kumar

“…The proposed dual-stage model utilized a hypertuned Random Forest Tree (RFT) to classify the subjects into PD and non-PD classes at Stage 1 and a hypertuned Ensemble Regressor (ER) to predict the severity of illness at Stage 2. …”
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Transforming CCTV cameras into NO2 sensors at city scale for adaptive policymaking by Mohamed R. Ibrahim, Terry Lyons

“…Here, we demonstrate how city CCTV cameras can act as a pseudo-NO2 sensors. Using a predictive graph deep model, we utilised traffic flow from London’s cameras in addition to environmental and spatial factors, generating NO2 predictions from over 133 million frames. …”
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Density, Climate, and Stochasticity Shape Four Centuries of Population Dynamics for Two Long‐Lived Tree Species by Ellen Waddle, Mark R. Lesser, Christopher Steenbock, Daniel F. Doak

“…Indeed, exclusion of any one of these effects greatly reduced predictive power of our population growth models. Given the similarity in the abiotic characteristics of these sites, the varying importance of these classes of effects was surprising but speaks to the need to consider multiple effects when predicting the dynamics of small and colonizing populations.…”
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Methods integrating innate and adaptive immune responses in human in vitro immunization assays by Tetiana Y. Bowley, Kiersten D. Lenz, Apoorv Shanker, Jessica Z. Kubicek-Sutherland

“…The HTC assay, by mimicking both spatial and temporal aspects of immune interactions, provides enhanced physiological relevance. …”
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Aging disrupts the link between network centrality and functional properties of prefrontal neurons during memory-guided behavior by Yadollah Ranjbar-Slamloo, Huee Ru Chong, Tsukasa Kamigaki

“…In young adults, degree centrality also predicts cross-modal action-plan selectivity, but this predictive power diminishes with age. …”
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GIS assessment of soil erosion in Uzbekistan's rainfed mountain lands by Sodikova Gulchekhra, Shamsiddinov Tulkin, Shadieva Nilufar, Usmonova Matlyuba

“…The analysis identifies critical degradation hotspots, revealing the influence of topographical diversity, climatic variations, and human activities, including overgrazing and unsustainable land-use practices. Predictive models were developed to evaluate the future risks associated with soil erosion, offering significant insights into the dynamics of soil fertility and its implications for agricultural productivity. …”
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A novel comprehensive system for analyzing and evaluating storm surge disaster chains based on complex networks by Hongbo Guo, Chong Huang, Chong Huang, Caixia Zhang, Qinglong Shao

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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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The spatiotemporal evolution and influencing factors of carbon emissions in the Yellow River Basin based on nighttime light data by Congqi Wang, Fanghua Wu, Haslindar Ibrahim, Wenting Chang

“…It analyses the fluctuations in carbon emissions and their influencing factors from 2010 to 2022 using nighttime light data. The spatial clustering features of carbon emissions in the prefecture-level communities of the Yellow River Basin from 2005 to 2022 are verified by the spatial autocorrelation analysis. …”
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Analysis of The State of The Tourism Industry in Russia аnd The Direction of Its Development by P. G. Nikolenko, A. M. Terekhov

“…Based on the Box–Jenkins methodology, predictive models were created and medium-term forecasts were calculated for variables characterizing the number of tourist firms and the number of sanatorium-resort organizations and recreation organizations. …”
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RL-Net: a rapid and lightweight network for detecting tiny vehicle targets in remote sensing images by Yaoyao Du, Li Chen, Xingxing Hao

“…Comprehensive evaluations on the VisDrone2019 and UA-DETRAC datasets demonstrate that, compared to YOLOv9s model, RL-Net achieves a 34.5% reduction in parameters, a 4.4% reduction in computations, a 30.8% increase in Frames Per Second (FPS), and improvements of 2.5% in mean Average Precision (mAP) and 2% in recall, effectively balancing detection efficiency and performance.…”
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Improving the Regional Precipitation Simulation Corrected by Satellite Observation Using Quantile Mapping by Senfeng Liu, Srivatsan V. Raghavan, Ngoc Son Nguyen, Bhenjamin Jordan Ona, Sheau Tieh Ngai, Xin Zhang

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Detection of Banana Diseases Based on Landsat-8 Data and Machine Learning by Renata Retkute, Kathleen S. Crew, John E. Thomas, Christopher A. Gilligan

“…We used a pixel-level random forest (RF) model to predict 11 key vegetation indices (VIs) as a function of historical meteorological conditions, specifically daytime and nighttime temperature from MODIS and precipitation from NASA GES DISC. …”
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Regularities of Plastic Deformation Zone Formation Around Unsupported Shafts in Tectonically Disturbed Massive Rock by Petr A. Demenkov, Ekaterina L. Romanova

“…Fractured rock zones of different quality and spatial configurations are investigated in order to predict the size of dangerous plastic deformation zones or zones of potential rock collapses. …”
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