SODRS: Semisupervised Learning for One-Stage Small Object Detection in Remote Sensing Images by Mingquan Liu, Lei Kuang, Chengjun Li, Jing Tian, Zifang Chen, Xuewu Han

“…Finally, the conditional random fields-based label refinement is applied to postprocess the predicted labels, improving spatial relationships and dependencies among objects. …”
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Impact of fracture networks on the structural deformation of lined rock caverns under high internal gas pressure by Chenxi Zhao, Qinghua Lei, Zixin Zhang

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AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

“…Attention weights are then generated to simultaneously fuse spatial and channel information, significantly improving the model's accuracy in identifying crack regions in levees, particularly under complex lighting and background interference. …”
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Ecological zone construction and multi-scenario simulation in Western China combining landscape ecological risk and ecosystem service value by Zihao Wang, Bing Wang, Yufei Zhang, Rula Sa, Qiuliang Zhang, Shuai Hao

“…By extending temporal scales using the PLUS model, it predicted the spatial patterns of ecological zones under four scenarios, achieving dynamic ecological zoning. …”
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Hippocampal vascularization pattern and cerebral blood flow cooperatively modulate hippocampal tolerable amount of Aβ deposition in the occurrence of MCI by Yuhao Xu, Hong Wei, Rui Du, Ranchao Wang, Yan Zhu, Tian Zhao, Xiaolan Zhu, Yuefeng Li

“…We explored the relationships between hippocampal blood supply (VP and CBF), hippocampal PiB uptake, and the occurrence of mild cognitive impairment (MCI) using a generalized nonlinear model. Results We demonstrated the synergistic effect of hippocampal VP and CBF on predicting the occurrence of MCI. …”
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Occupancy of roe deer, water deer, and wild boar in wind farm‐integrated forest ecosystems: A case study in Korea by Seong‐Hyeon Kim, Thakur Dhakal, Ki Hwan Cho, Tae‐Su Kim, Seung‐Hyeon Woo, Jun‐Young Kim, Do‐Hun Lee, Gab‐Sue Jang

“…This study explored the impacts of anthropogenic disturbances, particularly wind farms, on South Korean Forest ecosystems using spatial occupancy models and camera trap survey data. …”
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The roles of surface processes in porphyry copper deposit preservation by B. Hadler Boggiani, T. Salles, C. Mallard, N. Atwood

“…To highlight the influence of paleo-reconstructions on exhumation rate estimates, we analyze simulated erosion rates across the Andean region using two distinct paleo-climate models and find significant spatial and temporal differences across the Central Andes. …”
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Human Health Outcomes Linked to Ecosystem Changes of Urban Streams: An OneAquaHealth Protocol by Marilena ANASTASAKI, Catherine CHRONAKI, Anne MOEN, Eleni KOKINOU, Stratos KOKOLAKIS, Matenia KARAGIANNIDOU

“…The research will be conducted for a certain period so that data can be collected at various spatial and temporal scales to detect patterns over time and provide reliable predictions using machine learning models. …”
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Medical mesocosms and cohort differences in victim decisions in spousal violence in Sub-Saharan Africa by Patricia Elung'ata

“…Spatial interpolation addressed geographical clustering. …”
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Bioinformatics analysis for immune hub genes in BLIS subtype of triple-negative breast cancer by Hend Adel, Manal Abdel Wahed, Heba M. Afify

“…Conclusions Our findings provide a foundation for developing immune-targeted therapeutic approaches for BLIS-TNBC patients and provision the integration of machine learning models to predict treatment responses and optimize patient-specific strategies, potentially transforming the clinical management of this challenging breast cancer subtype.…”
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Evaluating the Relationship Between Vegetation Status and Soil Moisture in Semi-Arid Woodlands, Central Australia, Using Daily Thermal, Vegetation Index, and Reflectance Data by Mauro Holzman, Ankur Srivastava, Raúl Rivas, Alfredo Huete

“…Understanding the temporal changes in rainfall-driven vegetation in the thermal/optical spectra associated with increases in SM can allow us to predict the spatial impact of wet pulses on vegetation dynamics in extensive drylands.…”
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Plasmodium falciparum malaria endemicity in Indonesia in 2010. by Iqbal R F Elyazar, Peter W Gething, Anand P Patil, Hanifah Rogayah, Rita Kusriastuti, Desak M Wismarini, Siti N Tarmizi, J Kevin Baird, Simon I Hay

“…<h4>Background</h4>Malaria control programs require a detailed understanding of the contemporary spatial distribution of infection risk to efficiently allocate resources. …”
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Building consistency in explanations: Harmonizing CNN attributions for satellite-based land cover classification by Timo T. Stomberg, Lennart A. Reißner, Martin G. Schultz, Ribana Roscher

“…Furthermore, the unique characteristics of remote sensing imagery pose additional challenges for attribution interpretation: it primarily comprises continuous “stuff” classes rather than objects, exhibits fine-grained spatial variability, contains mixed pixels, is often multispectral, and exhibits spatially heterogeneity. …”
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Historical habitat mapping from black-and-white aerial photography: A proof of concept for post World War II Switzerland by Nica Huber, Matthias Bürgi, Christian Ginzler, Birgit Eben, Andri Baltensweiler, Bronwyn Price

“…Information regarding the spatial arrangement and extent of past habitats is important for understanding present biodiversity, restoration potential, and fighting extinction-debt effects. …”
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Rainfall forecasting in arid regions in response to climate change using ARIMA and remote sensing by Hany F. Abd-Elhamid, Amr M. El-Dakak, Martina Zeleňáková, Saleh O. K, Mohamed Mahdy, Samah H. Abd El Ghany

“…Climate changes in increasing at alarming rates which caused outward changes in the hydrological cycle parameters such as temperature and precipitation. The spatial and temporal distribution of rainfall has changed all over the world. …”
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Seasonal and Interannual Variations in Hydrological Dynamics of the Amazon Basin: Insights from Geodetic Observations by Meilin He, Tao Chen, Yuanjin Pan, Lv Zhou, Yifei Lv, Lewen Zhao

“…Results reveal pronounced spatial heterogeneity in the annual amplitude of TWS, exceeding 65 cm near the Amazon River and decreasing to less than 25 cm in peripheral mountainous regions. …”
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Two-decade spatiotemporal variations in ground-level ozone over Ontario, Canada by Zhou Zang, Jane Liu, Erjia Ge, Yi Zhang

“…Understanding long-term trends and spatially explicit details of O3 is important for supporting air quality management in Ontario.MethodWe construct a high-resolution (daily, 10 km) dataset of maximum daily 8-hour average O3 (MDA8 O3) over Ontario from 2004 to 2023, through a two-step machine learning model. …”
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Leveraging ResNet50 With Swin Attention for Accurate Detection of OCT Biomarkers Using Fundus Images by S. Tamilselvi, M. Suchetha, Rajiv Raman

“…Therefore, regular screening of diabetes patients for the early detection of retinal abnormalities is essential to prevent the development and progression of DR and DME. The proposed model predicts DME-associated biomarkers, typically identified in Optical Coherence Tomography (OCT), using 2D fundus images. …”
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A novel coal-rock recognition method in coal mining face based on fusing laser point cloud and images by Yang Liu, Lei Si, Zhongbin Wang, Miao Chen, Xin Li, Dong Wei, Jinheng Gu

“…Subsequently, the 2D target candidate box is calculated through the improved Mask R-CNN, and the frustum point cloud in the 2D target candidate box is extracted to reduce the calculation scale and spatial search range. Then, the self-attention PointNet is constructed to segment the fused point cloud within the frustum range, and the bounding box regression network is used to predict the bounding box parameters. …”
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Evaluation of 3D‐Var and 4D‐Var data assimilation on simulation of heavy rainfall events over the Indian region by Shivaji S. Patel, Ashish Routray, Vivek Singh, R. Bhatla, Rohan Kumar, Elena Surovyatkina

“…Similarly, it is found that satellite wind assimilation improved the statistical skill scores in predicting heavy precipitation in all three cases. Overall, the study suggested that the performance of the NCUM‐R model integrated with the 4D‐Var technique improved the model's forecast skill in the simulation of HREs.…”
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