Using traffic data to identify land-use characteristics based on ensemble learning approaches by Jiahui Zhao, Zhibin Li, Pan Liu

“…The result averages improved 12.63%, 12.84%, 11.05%, 5.44%, 12.84% for Area Under ROC Curve (AUC), Classification Accuracy (CA), F-Measure (F1), Precision, and Recall, respectively, in classification tasks and 56.81%, 21.20%, 47.29% for Mean Squared Error (MSE), Root Mean Square Error (RMSE), and Mean Absolute Error (MAE), respectively, in regression tasks than other models. The Random Forest model performs better in labels with high regularity, such as education, residence, and work activities. …”
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The abundance and sett ecological characteristics of the Asian badger (Meles leucurus) in the Northeast Tiger and Leopard National Park (NE China) by Jiawei Li, Dongrui Li, Yanwen Fu, Yiwen Ma, Jianping Ge, Limin Feng

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The origin and dissemination of HIV-1 subtype B on Hainan Island, South China, 2007–2024 by Chunyun Lu, Kaokao Zhu, Nengde Zhang, Mu Li, Shanmei Zhong, Cai Qin, Tong Luo, Rongjing Zhang, Jing Zhang, Yi Ning, Hao Liang, Li Ye, Bingyu Liang, Dee Yu

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Reconstruction of U.S. Regional-Scale Soybean SIF Based on MODIS Data and BP Neural Network by YAO Jianen, LIU Haiqiu, YANG Man, FENG Jinying, CHEN Xiu, ZHANG Peipei

“…[Results and Discussions]The research findings confirmed the strong performance of the SIF reconstruction model in predicting soybean SIF. After simultaneously incorporating EVI, FPAR, and LST as explanatory variables to model, achieved a goodness of fit with an R2 value of 0.84, this statistical metric validated the model's capability in predicting SIF data, it also reflected that the reconstructed 8 d time resolution of SIF data's reliability of applying to small-scale agricultural crop photosynthesis research with 500 m×500 m spatial scale. …”
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Projections of Extreme Precipitation Changes over the Eastern Tibetan Plateau: Exploring Thermodynamic and Dynamic Contributions by Xiaojiang Liu, Xi Liu, Chengxin Li, Xiaomin Ma, Kena Chen, Zhenhong Sun, Kangning Wang, Quanliang Chen, Hongke Cai

“…Both HR and LR models successfully reproduce the spatial distribution of annual precipitation, capturing the northwest-to-southeast increasing gradient. …”
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Revealing the Tectonic-Driven Nature From the InSAR Surface Deformation Background Signals in Xiamen–Kinmen Coasts, China by Fengling Yu, Zhaoquan Huang

“…The above results reveal the tectonic-driven nature of the InSAR background deformation, which can be explained by a simplified crustal movement model of the region. This study highlights the potential of InSAR data to provide a detailed quantitative understanding of small surface deformation driven by regional tectonics, which is crucial for the quantitative study of structural geology and the prediction of potential geohazards.…”
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Risque palustre : appréhender la vulnérabilité des individus à l'échelle locale (Sud du Bénin) by Charlotte Pierrat

“…It’s indeed a vector-borne disease deeply linked with a hot and wet climate. But the prediction models of malaria, mainly based on climate, fail to explain the spatial and temporal variability of transmission observed on the very fine scale of a rural village. …”
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Federal Deep Learning Approach of Intrusion Detection System for In-Vehicle Communication Network Security by In-Seop Na, Anandakumar Haldorai, Nithesh Naik

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Changes in sex composition of births across regions and subgroups in India from an analysis of birth histories from National Family Health Surveys by Diwakar Mohan, Evan L. Eschliman, Anju Malhotra, Michelle R. Kaufman

“…We describe changes in the sex composition of live births across time through different phases of the PreNatal Diagnostics Technique Act by place of residence, caste, education, and wealth. Multilevel random effects logit regression models were used to estimate odds ratios and adjusted estimates for the different periods. …”
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Urban heat island classification through alternative normalized difference vegetation index by N. Chanpichaigosol, C. Chaichana, D. Rinchumphu

“…By highlighting nonlinear trends, the research underscores further the need to explore vegetation dynamics in land surface temperature predictions. The findings contribute to a deeper understanding of urban heat island effects and provide a basis for enhancing machine Learning models and urban planning frameworks. …”
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Knee Osteoarthritis Diagnosis: Future and Perspectives by Henri Favreau, Kirsley Chennen, Sylvain Feruglio, Elise Perennes, Nicolas Anton, Thierry Vandamme, Nadia Jessel, Olivier Poch, Guillaume Conzatti

“…Also, the use of Artificial Intelligence (AI) in the diagnosis seems essential to effectively develop and validate predictive models for KOA evolution, provided that a large and robust database is available. …”
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Diffusion and Risks of House Prices in the Netherlands by Alfred Larm Teye

“…Some housing researchers and experts have suggested that a better understanding of the spatial diffusion mechanisms of house prices will aid resuscitating the housing market after the GFC. …”
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Study on anti-reflection of deep soft and high gas coal seam floor by deep hole controlled blasting by Jian-yu Zhang, Yi-xin Gong

“…After the blasting process, the arrangement of control holes can result in an increase of up to 133% in damage to the coal seam and a reduction of up to 167% in damage to the floorboard compared to the model without control holes. …”
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Optimizing fuel break management for core habitat protection against wildfires in the northern Great Basin by Dung Nguyen, Yu Wei, Erin J. Belval, Jesse D. Young, Christopher D. O'Connor, Christopher J. Dunn, David E. Calkin

“…The model uses simulated wildfires for 20,000 fire seasons, calibrated to historical fire occurrence data from 2006 to 2020. …”
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Large-scale assessment of rainfall-induced landslide hazard based on hydrometeorological information: application to Partenio Massif (Italy) by D. C. Roman Quintero, P. Marino, A. Abdullah, G. F. Santonastaso, R. Greco

“…</p> <p>To extend the application to large areas, the uncertainties linked to the spatial variability of slope geomorphologic characteristics and hydrometeorological variables were considered as random errors. …”
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Determination of Sequential Well Placements Using a Multi-Modal Convolutional Neural Network Integrated with Evolutionary Optimization by Seoyoon Kwon, Minsoo Ji, Min Kim, Juliana Y. Leung, Baehyun Min

“…The learned M-CNN predicts oil productivity at every candidate well location and selects qualified well placement scenarios. …”
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COMPUTER VISUALIZATION IN TEACHING GENERAL TECHNICAL DISCIPLINES: THEORETICAL AND PRACTICAL ASPECTS by Pohorielov Mykhailo, Prasol Artem

“…The study operates methods of retrospective, content, and semantic analysis, classification, generalization, and modelling. The historical context of introducing electronic visualization tools in education has been considered in the study, starting from the first projectors in the 1930s to modern computer visualization technologies such as 2D and 3D visualization, stereoscopic 3D, virtual reality (VR), and augmented reality (AR). …”
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Spatiotemporal dataset of dengue influencing factors in Brazil based on geospatial big data cloud computing by Qixu Zhu, Zhichao Li, Jinwei Dong, Ping Fu, Qu Cheng, Jun Cai, Helen Gurgel, Linsheng Yang

“…Addressing this challenge necessitates the efficient data integration methods and the assembly of multi-factorial datasets to aid public health authorities in understanding dengue transmission mechanisms and improving risk prediction models. In response, we developed a population-weighted dataset of 12 dengue risk factors, covering 558 microregions in Brazil over 1252 epidemiological weeks from 2001 to 2024. …”
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Optimal selection of high-production well targets for fault-controlled fractured-vuggy reservoir in Shunbei oil and gas field, Tarim Basin by Lijun GAO, Haiying LI, Wei GONG, Wei YANG, Hongyan LI

“…This model, based on the "source-connected faults + bead-string + deep chaotic high-amplitude background", provided a systematic framework for reservoir prediction and target selection. …”
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Climate change impacts to foraging seascapes for a highly migratory top predator by Barbara Muhling, Stephanie Snyder, Elliott L. Hazen, Rebecca Whitlock, Jong-Yeon Park, Charles A. Stock, Barbara A. Block

“…Statistical species distribution models are commonly used to explain past patterns and anticipate future shifts. …”
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