Frontiers

Synergic entanglements between Structural Biology and Machine Learning: Looking into the future

The rapid advances in machine learning (ML) and artificial intelligence (AI) are transforming biology and opening new directions for scientific inquiry.
IEEE

Event-Triggered Multi-Kernel Learning-Based Stochastic MPC With Applications in Building Climate Control

Abstract: For solving the problem of building climate system uncertainty affected by spatio-temporal variables, an event-triggered multi-kernel learning-based stochastic model predictive control ...
IEEE

Band-kernel Stochastic Learning for Unsupervised Blind Hyperspectral Image Super-Resolution

Abstract: Hyperspectral image super-resolution (HSI-SR) is fundamentally more difficult than RGB image SR, since its ultrahigh spectral dimensionality. Existing supervised methods rely on labeled ...
Frontiers

Predicting maize hybrid performance with machine learning and a locus-specific weighted degree of dominance transformation

The genetic architecture of a trait plays a vital role in the predictive ability of genomic models. While classical methods such as genomic best linear unbiased prediction (GBLUP) remain widely used ...