Graph neural network learns evolving cyberattacks without forgetting old threats
A graph convolutional network with incremental learning improves network anomaly detection across three benchmark datasets by adapting to evolving attack ...
A graph convolutional network with incremental learning improves network anomaly detection across three benchmark datasets by adapting to evolving attack ...
A retrospective cohort study found that patients with atrial myxomas showed significantly lower P-wave voltage in lead I and shorter ...
An editorial in Environmental Chemistry Letters argues that most water purification research uses unrealistic homogeneous lab conditions and proposes advanced ...
A diffusion MRI analysis grouped 73 ALS patients into three white matter subtypes whose imaging-derived disease stages correlated with clinical ...
A three-stage maximum power point tracking framework paired with an improved JAYA algorithm tracked the global power point of partially ...
A new review in Discover Food surveys conventional and advanced processing methods, from leaching and thermal denaturation to cold plasma ...
A machine learning model combining CT radiomics with clinical variables predicted spontaneous ureteral stone passage within four weeks with an ...
Researchers propose a Holistic Explainable AI framework that embeds explanation into every stage of the data-analysis workflow and maps its ...
Cryo-electron microscopy structures of the zebra finch R2 retrotransposon, alone and bound to Cas9, reveal how target-primed reverse transcription initiates ...
A new study reports that lncR-AK158273 suppresses microglial autophagy during LPS-induced neuroinflammation by upregulating Mst1 expression.
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine