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Drone-assisted climate-smart agriculture (DACSA): A spatially-based outcome prediction model as an initial approach to track yield changes in shallot planting areas
Published 2025-04-01“…With this goal in mind, a research project was undertaken to develop a spatial model capable of providing real-time notifications on changes in plant yield and location. …”
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542
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Mapping the distribution of pine wilt disease based on selected machine learning algorithms and high-resolution Gaofen-2/7 remote sensing
Published 2025-08-01“…Under the influence of human activities and climate change, pine wilt disease (PWD) has caused significant damage to Masson’s pine (Pinus massoniana Lamb.) forests in subtropical China. Existing research has struggled to accurately capture the large-scale spatial distribution of the PWD, particularly for precise extraction at provincial level. …”
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546
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547
Housing Price Modeling Using a New Geographically, Temporally, and Characteristically Weighted Generalized Regression Neural Network (GTCW-GRNN) Algorithm
Published 2025-04-01“…In addition to being able to model the spatial–time heterogeneity available in observations, this algorithm is accurate and faster than MLR, GWR, GRNN, and GCW-GRNN. …”
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548
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549
Research on Laser Radar Inspection Station Planning of Vehicle Body-In-White (BIW) with Complex Constraints
Published 2025-05-01“…Through experimental validations utilizing BIW (BIW) component inspection, the research has demonstrated its industrial applicability and has achieved a 92% measurement coverage with robot trajectories free of collisions. …”
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550
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551
Cross-dimensional adaptivity research on a 3D earth observation data cube model
Published 2025-04-01Get full text
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552
A prototype-based rockburst types and risk prediction algorithm considering intra-class variance and inter-class distance of microseismic data
Published 2025-05-01“…By reviewing previous studies, this paper finds two problems that hinder the rockburst prediction: 1) there is a lack of research on the distribution features of monitoring data on the main controlling factors of rockbursts; 2) there is no research on the intra-class variance and inter-class gap of microseismic data. …”
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553
Simulation study on the urban-rural integration circulatory mechanism system in China: Based on system dynamics model and multi-objective genetic algorithm
Published 2025-12-01“…Existing academic research on China’s urban-rural integration lacks a comprehensive exploration that integrates “factors and pathways” while providing a dynamic depiction of how different driving forces influence the urban-rural integration process. …”
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554
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Assessing the spatial-temporal performance of machine learning in predicting grapevine water status from Landsat 8 imagery via block-out and date-out cross-validation
Published 2024-12-01“…This research evaluates the use of Landsat 8 satellite imagery in conjunction with weather data, and a machine learning algorithm (Gradient Boosting Machine) to predict vine water status in large vineyard blocks. …”
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556
ICESat-2 Satellite LiDAR Bathymetry Extraction Algorithm Based on Cubic Function Fitting Prediction Interval Along Track Segments
Published 2025-01-01“…Compared with adaptive elevation difference thresholding algorithm, density-based spatial clustering of applications with noise, and ordering points to identify the clustering structure, the proposed algorithm exhibits the best denoising effect, and the extracted seafloor photons show good continuity without obvious noise photons.…”
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557
SpatioTemporal Random Forest and SpatioTemporal Stacking Tree: A novel spatially explicit ensemble learning approach to modeling non-linearity in spatiotemporal non-stationarity
Published 2025-02-01“…A wide variety of spatially explicit modeling algorithms has recently mushroomed in geoinformation research. …”
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558
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559
A Systematic Literature Review on the Application of Machine Learning for Predicting Stunting Prevalence in Indonesia (2020–2024)
Published 2025-07-01“…This study recommends future research to focus on integrating spatial-temporal data, implementing Explainable AI (XAI), and conducting cross-regional validation to enhance model reliability and policy relevance.…”
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