Search alternatives:
spatial research » pain research (Expand Search)
Showing 1,601 - 1,620 results of 1,830 for search 'spatial research algorithm', query time: 0.14s Refine Results
  1. 1601

    Machine learning-based assessment of regional-scale variation of landslide susceptibility in central Vietnam. by Raja Das, Pham Van Tien, Karl W Wegmann, Madhumita Chakraborty

    Published 2024-01-01
    “…Additionally, the research explores the impact of individual landslide causative factors on the probabilistic occurrences of landslides. …”
    Get full text
    Article
  2. 1602

    Visual recognition of honeybee behavior patterns at the hive entrance. by Tomyslav Sledevič, Artūras Serackis, Dalius Matuzevičius, Darius Plonis, Gabriela Vdoviak

    Published 2025-01-01
    “…Key contributions include the development of a comprehensive dataset with 7200 frames from eight beehives, the introduction of the first known research focused on recognizing bee behavior patterns through visual analysis at the hive entrance, and a comparative evaluation of various object detection and tracking algorithms tailored for bee detection and behavior recognition. …”
    Get full text
    Article
  3. 1603

    An Automated Feature-Based Image Registration Strategy for Tool Condition Monitoring in CNC Machine Applications by Eden Lazar, Kristin S. Bennett, Andres Hurtado Carreon, Stephen C. Veldhuis

    Published 2024-11-01
    “…In this study, an MV system is developed alongside an automated, feature-based image registration strategy to spatially align tool wear images, enabling a more consistent and accurate detection of tool edge position. …”
    Get full text
    Article
  4. 1604

    Patterns of changing surface climate variability from the Last Glacial Maximum to present in transient model simulations by E. Ziegler, E. Ziegler, N. Weitzel, J.-P. Baudouin, M.-L. Kapsch, U. Mikolajewicz, L. Gregoire, R. Ivanovic, P. J. Valdes, C. Wirths, K. Rehfeld, K. Rehfeld

    Published 2025-03-01
    “…A reanalysis of the LGM exhibits similar global mean variability to most of the ensemble, but spatial patterns vary. However, paleoclimate data assimilation combines model and proxy data information using a Kalman-filter-based algorithm. …”
    Get full text
    Article
  5. 1605
  6. 1606

    Estimation and evaluation of iron reserves in the eastern area of Eileh1 mine, Razavi Khorasan province by Hamid Esmati Daroneh, Maryam Gholamzadeh

    Published 2024-12-01
    “…This is attributed to Kriging’s ability to account for the spatial structure of the deposit, its unbiased nature, and its lower estimation variance. …”
    Get full text
    Article
  7. 1607
  8. 1608

    Classical Benchmarks for Variational Quantum Eigensolver Simulations of the Hubbard Model by Antonios M. Alvertis, Abid Khan, Thomas Iadecola, Peter P. Orth, Norm Tubman

    Published 2025-05-01
    “…While these algorithms have been shown to reproduce the qualitative features of the Hubbard model, their quantitative accuracy in terms of producing true ground state energies and other properties, and the dependence of this accuracy on the system size and interaction strength, the choice of variational ansatz, and the degree of spatial inhomogeneity in the model, remains unknown. …”
    Get full text
    Article
  9. 1609
  10. 1610
  11. 1611

    Tackling Heterogeneous Light Detection and Ranging-Camera Alignment Challenges in Dynamic Environments: A Review for Object Detection by Yujing Wang, Abdul Hadi Abd Rahman, Fadilla ’Atyka Nor Rashid, Mohamad Khairulamirin Md Razali

    Published 2024-12-01
    “…These sensors produce heterogeneous data due to differences in data format, spatial resolution, and environmental responsiveness. …”
    Get full text
    Article
  12. 1612

    OpenForest: a data catalog for machine learning in forest monitoring by Arthur Ouaknine, Teja Kattenborn, Etienne Laliberté, David Rolnick

    Published 2025-01-01
    “…For this, the significance of open-access data remains essential in enhancing such data-driven algorithms and methodologies. Here, we provide a comprehensive and extensive overview of 86 open-access forest datasets across spatial scales, encompassing inventories, ground-based, aerial-based, satellite-based recordings, and country or world maps. …”
    Get full text
    Article
  13. 1613
  14. 1614
  15. 1615
  16. 1616

    Deep Learning Models for Rotated Object Detection in Aerial Images: Survey and Performance Comparisons by Jiaying He, K. L. Eddie Law

    Published 2024-01-01
    “…In object detection, the common practice is to use boxes to enclose the spatial locations of discovered objects. Traditionally, these bounding boxes are rectangular in shape with edges parallel to the horizontal or vertical axes. …”
    Get full text
    Article
  17. 1617

    Deep Learning-Driven Geospatial Modeling of Elderly Care Accessibility: Disparities Across the Urban-Rural Continuum in Central China by Yi Yu, Tian Dong

    Published 2025-04-01
    “…Spatial weighting characteristics of elderly care facility locations were analyzed through machine learning algorithms, and service coverage disparities between urban districts and suburban towns were assessed under 5-, 10-, and 15-min walking thresholds. …”
    Get full text
    Article
  18. 1618

    Assessing Climate Change Impacts on Cropland and Greenhouse Gas Emissions Using Remote Sensing and Machine Learning by Nehir Uyar, Azize Uyar

    Published 2025-04-01
    “…This study investigated the impact of grassland and cropland expansion on carbon (C) and nitrous oxide (N<sub>2</sub>O) emissions using remote sensing data and machine learning models. The research focused on agricultural land-use changes in South Sumatra from 1992 to 2018, utilizing Landsat satellite imagery and Google Earth Engine (GEE) for spatial and temporal analysis. …”
    Get full text
    Article
  19. 1619
  20. 1620