Lightweight digital twin triages heat and flood risks in data-scarce cities
A lightweight digital-twin workflow turns public datasets into ranked, field-verifiable priorities for heat and flood adaptation in data-scarce fragile cities ...
A lightweight digital-twin workflow turns public datasets into ranked, field-verifiable priorities for heat and flood adaptation in data-scarce fragile cities ...
A retrospective two-center study found an FDA-cleared AI tool classified 60.6 percent of benign BI-RADS 4 breast lesions as probably ...
A new mathematically guaranteed scoring method keeps robot oversight decisions monotone and explainable, though its benefits so far are limited ...
A new fuzzy multi-agent framework continuously assesses hospital resource health and detected simulated degradation about 69 hours earlier than a ...
Machine-learning forecasts of air and leaf temperature in a commercial tomato greenhouse detected below-setpoint thermal events with average warning lead ...
A domain-specific fuzzy-logic system linked eight student characteristics to interpretable aesthetic-education pathways and career recommendations, achieving 83.2% top-1 accuracy in ...
A systematic review of 60 articles identifies persistent separation among stakeholder integration, data use and lean–green optimisation in construction logistics ...
Researchers in Switzerland have built an automated framework that turns weather station data, forecasts and snowpack simulations into daily probability ...
A field study of a thermally delayed biomass-fired boiler found that a simple linear autoregressive model outperformed complex machine-learning forecasts ...
A systematic review of 20 qualitative studies finds that blood cancer patients often experience hematopoietic stem cell transplantation as a ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine