Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Abstract: In this article, the dynamic economic dispatch (DED) problem for smart grid is solved under the assumption that no knowledge of the mathematical formulation of the actual generation cost ...

For Beijing-based METiS TechBio CEO Lai Tsai-ta, ageing is comparable to bugs building up in a complex software system – it happens once errors begin to accumulate in the genetic code of human cells, ...

Abstract: With the wide application of industrial robots in the field of precision machining, reliability analysis of positioning accuracy becomes increasingly important for industrial robots. Since ...