Tag: Machine learning

Researchers have developed BTFA, a behavioral two-factor authentication model that uses touch gestures and sensor data analyzed by an LSTM ...

A rigorous cross-domain benchmark finds no detectable advantage for quantum-inspired optimizers over well-tuned classical methods in neural-network training.

A new review explains how sintering and post-processing transform 3D-printed battery architectures from geometric shapes into functional energy storage devices.

Researchers have developed a memory-augmented self-distillation framework that boosts graph neural network accuracy by 2.5 to 6 percent across benchmark ...

A new federated learning framework called FedEntGate uses entropy-aware dynamic gating and adaptive differential privacy to cut communication overhead by ...

Researchers in China built an interpretable Random Forest model that predicts which women with diminished ovarian reserve will progress to ...

A study of thirty Canadian ponds finds that nickel and nitrogen, rather than phosphorus alone, are the strongest predictors of ...

A study of 1,008 patients in Tianjin identifies three distinct craving profiles in adolescent-onset new psychoactive substance use disorder and ...

Researchers have unveiled a Profit-Driven Simulation framework that tests AI toxicity detection models in realistic, revenue-sensitive social media environments and ...

Researchers at Cairo University have developed EPOBPA, a parallelizable frequent itemset mining algorithm that outperforms existing techniques by 36 to ...