Tag: Machine learning

A dual-objective AI system trained on 6,331 Instagram brunch images evaluates food photographs for both engagement and nutritional transparency and ...

A new editorial argues that pediatric sepsis-associated acute kidney injury demands precision medicine, because hidden immune and organ-level heterogeneity has ...

A new framework called From Noise to Structure transforms background clutter and linguistic redundancy into structured semantic signals, achieving state-of-the-art ...

Researchers have developed an explainable multimodal machine-learning model that predicts with over 81 percent accuracy whether people with mild cognitive ...

Researchers have developed a real-time data-driven predictive feedback control framework that monitors and corrects the process-state dynamics of pulsed laser ...

Researchers have unveiled FakeMark, an attack that fabricates convincing neural network watermark evidence without ever accessing the victim model, exposing ...

Researchers have developed an AI-driven optimization framework that cuts greenhouse irrigation water use by up to 79 percent while keeping ...

Researchers have developed SRRI, a source-free domain adaptation method that uses CLIP as an external verifier to de-bias pseudo-source domains ...

A new systematic review shows that machine learning, particularly tree-based ensembles and Random Survival Forests, can reliably predict water pipeline ...

Researchers have developed a hybrid intuitionistic fuzzy deep neural network that markedly improves risk assessment accuracy for onshore oil and ...