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Participatory modelling across Kenyan villages facilitates insights into the complexity of human–elephant interactions
Published 2025-01-01“…Multiple variables such as road infrastructure (drivers) and soil compaction (consequences) were identified as aspects of conflicts that are under-reported or absent in scientific literature, as well as potential socio-cultural indicators. …”
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1563
Spectral Evolution of GX 17+2 Using AstroSat and NICER Observations
Published 2025-01-01Get full text
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1564
Human–wildlife interactions
Published 2025-02-01“…This factor is the main explanatory variable in the model. The paper provides an excellent example of how the synergies of diverse human elements in the landscape (maize croplands and roads in this case) affect the location and dimensions of these types of conflicts. …”
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Modeling habitat suitability for endangered herb (Salvia leriifolia Benth) using Innovative hybrid machine learning algorithms
Published 2025-06-01“…Using GIS, we compiled a dataset of 23 environmental and anthropogenic variables. Variable importance was assessed via Elastic Net (ENET), while model performance was evaluated using ROC-AUC metrics. …”
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Unsupervised selective labeling for semi-supervised industrial defect detection
Published 2024-10-01Get full text
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1571
Design of artificial neural network for buongiorno model with nanofluids flow through stretching sheet
Published 2025-05-01Get full text
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1572
Determinants of crash injury severity for delivery riders: Insights from an error components mixed logit model with heterogeneous means and variances
Published 2025-07-01“…The rapid growth of e-commerce and food delivery services has led to an increase in commercial motorcycle riders, raising concerns about their safety on the road. This study aims to identify and analyze the determinants of crash injury severity for delivery riders in Thailand. …”
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1573
Vulnerability of peatland fires in bengkalis regency during the ENSO El nino phase using a machine learning approach
Published 2025-06-01“…The five main factors influencing peatland fires were road density, precipitation, drainage density, NDMI, and river density. …”
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1574
Interpretable GBDT Model for Analysing Ridership Mechanisms in Urban Rail Transit: A Case Study in Shenzhen
Published 2025-03-01“…Utilising Automatic Fare Collection (AFC) data and multiple built environment variables, we identify six key factors (office type, accessibility, road network density, floor area ratio (FAR), public services, and residential type) through SHapley Additive exPlanations (SHAP) value and partial dependency plot (PDP) analysis. …”
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1575
Development of brain metastases in non-small-cell lung cancer: high-risk features
Published 2024-12-01Get full text
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1576
A Search for Exoplanet Candidates in TESS 2 minute Light Curves Using Joint Bayesian Detection
Published 2025-01-01Get full text
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1577
A Comparative Study on Developing the Hybrid-Electric Vehicle Systems and its Future Expectation over the Conventional Engines Cars
Published 2022-12-01“…In 2008, the transportation sector accounted for about 22% of total world CO2 emissions. Within this sector, road vehicles dominate oil consumption and represent 81% of total transportation energy demand. …”
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Influences of natural convection on cylindrical objects within a square enclosure with varied shapes
Published 2025-10-01Get full text
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