Tag: Bayesian Optimization

Researchers have developed X-URL, a character-level deep learning framework that classifies malicious URLs into four threat categories with over 98 ...

Researchers in Switzerland have developed an uncertainty-weighted neural network that incorporates standardized measurement uncertainty into both training and evaluation, improving ...

Researchers at Hanyang University and Hyundai have developed a Bayesian optimization framework that places outdoor UWB anchors to sharply improve ...

Researchers in Beijing have unveiled a cloud–edge scheduling framework that combines zero-knowledge range proofs with LSTM-based congestion prediction, cutting industrial ...

A self-powered dual-sensor wearable combining a CNN-SVM classifier and Bayesian-optimized regression recognizes eight exercise postures with 95.4 percent accuracy and ...

Researchers used Bayesian optimization with Gaussian process surrogate modeling to design microfluidic deterministic lateral displacement chips that separate circulating tumor ...

Researchers combined Gaussian process machine learning with expert judgment to optimize laser annealing of silicon suboxide battery anodes, achieving near-identical ...

Researchers at NIT Durgapur compared NSGA-II, MOSA, and Bayesian optimization for designing tiny keyword spotting models, finding MOSA most reliable ...

Researchers have developed a physics-informed machine learning framework that predicts the remaining useful life of electric vehicle drive systems with ...

Researchers at Central South University have developed an interpretable machine learning framework that fuses spatial and temporal process data to ...

In the relentless pursuit of advanced materials tailored for specific applications, the intersection of artificial intelligence and experimental science has ...

Researchers at the University of Toronto are pioneering a groundbreaking approach to the development of nano-architected materials, successfully combining lightweight ...