Machine Learning Pinpoints the Perfect Timing to Boost Vietnamese Balm Growth
Vietnamese researchers combined field trials with machine learning to show that a precisely timed spray of the cytokinin 6-benzyladenine boosts ...
Vietnamese researchers combined field trials with machine learning to show that a precisely timed spray of the cytokinin 6-benzyladenine boosts ...
Researchers in Cyprus used classical machine learning and GraphSAGE-based graph representation learning to predict missing transmission links in COVID-19 infection ...
A new study shows that generative large language models can predict odor quality, capture concentration-dependent scent shifts, and outperform molecular ...
Researchers converted sugarcane bagasse into a low-temperature activated carbon that removes over 99 percent of toxic Cr(VI) and Co(II) from ...
Researchers combined simultaneous synchrotron SAXS, WAXS and XRF measurements with supervised machine learning to non-destructively classify palm-leaf manuscripts by processing ...
A new study explains how neural networks trained inside the forecast–analysis cycle can match ensemble Kalman filters and even iterative ...
An independent evaluation in PLOS Digital Health finds that deep learning models excel at breast cancer detection from medical images ...
Researchers have developed shotgun genetic engineering, a method that screens millions of randomly assembled metabolic pathways in mammalian cells and ...
Researchers have unveiled a triple-stream deep hashing framework that compresses multi-label images into compact binary codes with higher accuracy and ...
A comparison of ten evapotranspiration partitioning methods across four Canadian moss-covered wetlands finds no consistent winner and exposes deep uncertainty ...
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© 2025 Scienmag - Science Magazine