Tag: Machine learning

Researchers have built a neural network and genetic algorithm framework that designs lightweight composite aircraft stiffened panels backwards from performance ...

Researchers have introduced a fourteen-member family of product-connectivity molecular descriptors that mitigate the dominance of highly connected substructures in classical ...

Researchers have developed a hyperboloid-based kernel method that maps biological sequence representations into hyperbolic space to overcome the distortion caused ...

A physics-informed deep learning model combining impedance spectroscopy, distribution of relaxation times and multi-scale convolutional networks achieves sub-1-percent error in ...

A new study in Discover Chemistry shows how artificial intelligence, machine learning, and computational chemistry can predict the toxicity of ...

Researchers have trained physics-informed neural networks to solve a memory-bearing fractional Fokker–Planck equation for stochastic volatility, achieving high accuracy against ...

Researchers at Manipur University have developed EF²RB, an ensemble feature selection framework that boosts IoT intrusion detection accuracy to between ...

A hybrid NARX–XGBoost machine learning framework predicts daily milk yields in heat-stressed dairy cows with substantially higher accuracy than existing ...

An integrated study combining NHANES epidemiology, machine learning, single-cell transcriptomics, molecular docking, and mouse experiments links background-level PFOS exposure to ...

A new special issue in Medical & Biological Engineering & Computing showcases how deep learning is transforming ultrasound image segmentation, ...