Safety-first AI ensemble catches every flood signal in Sri Lanka river trial
A solar-powered IoT node and a recall-optimized LSTM–XGBoost ensemble achieved 100% positive-class recall on a Sri Lankan river's single test ...
A solar-powered IoT node and a recall-optimized LSTM–XGBoost ensemble achieved 100% positive-class recall on a Sri Lankan river's single test ...
A new study in Shanxi Province shows that combining satellite soil moisture, ERA5-Land reanalysis data, and XGBoost machine learning improves ...
A new genomic study combining population genetics and machine learning reveals that Chinese Kirghiz sheep are genetically differentiated from neighboring ...
Researchers found that mixing 10 percent river sand into surface soil combined with moderate fertilizer application optimizes water infiltration, salt ...
Climate change is no longer a distant threat but a present-day reality that manifests through increasingly frequent and severe extreme ...
A large Chinese case-control study combining machine learning and polygenic risk scores finds that home literacy environment and shared genetic ...
A temporal validation study found that large language models predicted ADHD diagnoses from parent questionnaires nearly as well as classical ...
A new study combining statistics and machine learning shows that measurable postural instability emerges at simulated altitudes as low as ...
A new study shows how data leakage and flawed backtesting protocols can manufacture apparently strong machine learning predictions in financial ...
A new comparative study finds that ensemble classifiers outperform deep learning models for smart contract vulnerability detection, while uncertainty-based active ...
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© 2026 Scienmag - Science Magazine