Spatial predictions of soil moisture across a longitudinal gradient in semiarid ecosystems using UAV and RGB sensors by Alexander Hernandez, Efrain Duarte, Peter Porter, Holden Brecht

“…Texture metrics (‘mean’ and ‘entropy’), and the Excess Green (ExG) index had high predictive power while RGB bands performed poorly. Unlike Idaho and Montana, the spatial predictions for Utah and California showed high reliability (α < 0.01). …”
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Spatially explicit metrics improve the evaluation of species distribution models facing sampling biases by Claudio A. Bracho-Estévanez, Salvador Arenas-Castro, Juan P. González-Varo, Pablo González-Moreno

“…Furthermore, most predictions rely only on non-spatial metrics such as the AUC and the TSS to evaluate model performance. …”
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A Machine Learning Approach for Predicting Particle Spatial, Velocity, and Temperature Distributions in Cold Spray Additive Manufacturing by Lurui Wang, Mehdi Jadidi, Ali Dolatabadi

“…Stage 1 applies sampling and a K-nearest-neighbor kernel-density-estimation algorithm that predicts the spatial distribution of impacting particles and re-allocates weights in regions of under-estimation. …”
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Predicting Rural Industrial Transformation via Coupling Coordination Between Polder-Based Spatial Features and Industrial Development by Wenzhu Zhou, Dawei Wang, Yiwen Zhang, Hanjing Xu

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A method for spatial interpretation of weakly supervised deep learning models in computational pathology by Abhinav Sharma, Bojing Liu, Mattias Rantalainen

“…Such information is also needed for any further spatial interpretation of predictions from such models. …”
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Surrogate model for calculating spatial magnetic track forces in permanent magnet levitation transportation by LIU Haodong, FENG Yang, ZHAO Chunfa, LUO Shihui, SONG Xiaolin

“…Developing a method for rapidly and accurately calculating magnetic forces, which considers multi-degree-of-freedom spatial attitudes, is essential for the dynamic prediction and assessment of PML vehicles. …”
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Spatial age-stratified epidemiological model with applications to South African COVID-19 pandemic by Raeesa Manjoo-Docrat, Nada Abdelatif, Jenny Holloway, Nontembeko Dudeni-Tlhone, Claudia Dresselhaus, Elona Mbayise, Charl Janse van Rensburg, Inger Fabris-Rotelli, Pravesh Debba, Sibusisiwe Makhanya

“…Results: The spatial age-stratified model produced more biologically plausible and accurate predictions compared to non-stratified models investigated. …”
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Temporal and Spatial Variation in Habitat Quality in Guangxi Based on PLUS-InVEST Model by Chuntian Pan, Jun Wen, Jianing Ma

“…This study systematically analyzes the spatial and temporal dynamics of land use and habitat quality in Guangxi from 2000 to 2020 using the PLUS-InVEST model and simulates future scenarios for 2030. …”
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Mt or not Mt: Temporal variation in detection probability in spatial capture-recapture and occupancy models by Sollmann, Rahel

“…Here, I investigate whether closed spatial capture-recapture (SCR) and single season occupancy models are robust to ignoring temporal variation in detection probability. …”
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Correlation-regression analysis of modelled chlorine residual's spatial variability in water supply network by Sanja Marčeta, Dušan Prodanović

“…From this point of view the water quality request for minimum chlorinated and safe potable water is understandable. In numerable modeling and experimental research the spatial diversity of chlorine residual was found to correlate with the daily consumption schedule, the water temperature, the initial dose of chlorine and organic matter content in the water. …”
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Novel extensions to the Fisher copula to model flood spatial dependence over North America by D. A. Alexandre, C. Chaudhuri, J. Gill-Fortin

“…We propose novel extensions to the Fisher copula to statistically model the spatial structure of observed historical flood record data across North America. …”
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A Computing Model of Selective Attention for Service Robot Based on Spatial Data Fusion by Huanzhao Chen, Guohui Tian

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Artificial intelligence-based predictive modeling for imaging neutral particle analyzers on the DIII-D tokamak by Alvin Garcia, Sydney Liu, Xiaodi Du, Max Curie, Azarakhsh Jalalvand, Peter Steiner, Egemen Kolemen

“…This improvement highlights the model’s enhanced predictive accuracy for measured images from the validation set. …”
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Automated Generation of Urban Spatial Structures Based on Stable Diffusion and CoAtNet Models by Dian Yu, Bo Wan, Qiang Sheng

“…We simultaneously trained two models: one is a LoRA Model based on the Stable Diffusion architecture used for generating road networks similar to those of various city road spatial structures; the other is a CoAtNet Model (Convolution + Transformer) used as an evaluation model to predict the space-syntax parameters of road structures and calculate the Mean Absolute Percentage Error (MAPE) relative to real urban samples. …”
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An Iterative Pixel-Based Dimensional Voting Model for High Spatial-Resolution Image Classification by Muhamad Asyraf Mohd Pouzi, Haza Nuzly Abdull Hamed, Muhammad Razib Othman, Hishammuddin Asmuni, Mohd Adham Isa, Husni Ruslai

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A high resolution spatial modelling framework for landscape-level, strategic conservation planning by T. Foxley, P. Lintott, S. Stonehouse, J. Flannigan, E.L. Stone

“…The aim of this study was to develop a spatial modelling framework for protecting biodiversity in the planning process. …”
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Actual and Predictive Transport Modeling of Fluoride Contamination of the Sfax-Agareb Coastal Aquifer in the Mediterranean Basin by Samira Melki, Amina Mabrouk El Asmi, Mohamadou Ould Baba Sy, Moncef Gueddari

“…This study, using numerical modeling, gives new insights for short- and medium-term prediction of eventual fluoride concentrations in the saturated zone of the Sfax-Agareb aquifer.…”
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Profile Aspects of Graphic Education at Polytechnic University by Irina D. Stolbova, Evgeniya P. Aleksandrova, Lyudmila V. Kochurova, Konstantin G. Nosov

“…To close the gap between the practice of polytechnic education and real engineering activities, it is necessary to introduce innovative educational technologies aimed at developing students’ ability to work in a team, competences in the field of modern information and communication technologies, as well as a willingness to carry out design based on spatial modeling.Within the framework of subject training, it is necessary to ensure the unity of fundamental (generalized, theoretical) knowledge and special knowledge corresponding to the profile of the training area. …”
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Predictive modeling of soil profiles for precision agriculture: a case study in safflower cultivation environments by Megha Sharma, Shailendra Goel, Ani A. Elias

“…The robustness, versatility, and predictive ability of two statistical learning models in correctly classifying the soil profile to clusters were tested. …”
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A monthly sub-national Harmonized Food Insecurity Dataset for comprehensive analysis and predictive modeling by Melissande Machefer, Michele Ronco, Anne-Claire Thomas, Michael Assouline, Melanie Rabier, Christina Corbane, Felix Rembold

“…The scientific community can also leverage the HFID to develop data-driven predictive models, enhancing the capacity to forecast and prevent future food crises.…”
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