Вход на сайт
Просмотр новости

Найдите то, что Вас интересует

Physically interpretable flood susceptibility mapping using spatial cross-validation and SHAP-derived environmental thresholds: A statistically validated framework
Дата публикации: 20-08-2026 18:51:19

An article created on 2026-08-20 18:51:19

Схожие новости

#Наименование новостиТональностьИнформативностьДата публикации
1Framework for Selection of Representative Earthquake Scenarios for Regional Risk Simulation leveraging National Seismic Hazard Model013.4520-08-2026
2Diagnosing Causal Credibility of Machine Learning Explanations: A Dual- SHAP Attribution Framework Applied to Social Survey Data014.3520-08-2026
3From Benchmark Reuse to Benchmark Audit: A Version-Aware Re-Evaluation of a Public MODIS Wildfire Benchmark with Uncertainty, Sensitivity, and Calibration Analysis017.7820-08-2026
4Evaluating environmental indicators and invertebrate based indices for diagnosing urban impacts in large river wetlands014.7620-08-2026
5Service-preserving carbon- and water-aware resource allocation for geo-distributed AI inference03520-08-2026
6Diagnosing Spatial Disparities in Urban Flood Burden through Hydro- Environmental Normalization in Jakarta, Indonesia013.7811-08-2026
7Unraveling the Interplay Between SPI-Based Drought Characteristics and Rainfall Variability: A High-Resolution Dasarian Assessment across Bali’s Seasonal Zones022.520-08-2026
8Auditing observability bias in InSAR-derived subsidence exposure estimates with a reproducible geospatial workflow020.5311-08-2026
9Tissue as Landscape: An Interpretable Ecological Framework for Quantifying Whole-Slide Spatial Architecture and Cancer Prognosis018.1420-08-2026
10From Wetting-Front Coalescence to Urban Road Collapse: Interpretable Machine Learning of Hydro-Mechanical Failure under Coupled Rainfall and Pipeline Leakage02211-08-2026

Классификация: Наука. Схожих патентов: 0. Схожих новостей: 10. Тональность: 0. Информативность: 23.64. Источник: www.researchsquare.com.