To give you a flavour, our method can explore billions and billions of possible syntheses in a fraction of a second and can then choose the one that is most economical, is most environment-friendly or involves only popular (ie, easy to purchase) chemicals.
The developed method can explore and exploit search space efficiently.
The proposed method can explore more general solution space and can locate better solutions.
The current study using an improved VGLCM method can explore whole-brain pathology and brain-behavioral relationships.
In contrast to existing subgraph mining approaches that focus on the graph view alone, the proposed method can explore multiple vector-based side views to find an optimal set of subgraph features for graph classification.
In contrast to existing subgraph mining approaches that focus on a single view of the graph representation, our method can explore multiple vector-based side views to find an optimal set of subgraph features for graph classification.
In contrast, the multiple-to-one method can explore the associated genes with weak pairwise associations.
Using such methods, we can explore the behaviour of a visitor to a virtual urban setting whose design, because it is built only of pixels, is entirely under our control and can be arranged and rearranged with a few keystrokes on a computer.
Although we now have the methods that can explore all the possible rigid-body conformational states for the two proteins in a bound state, selection and ranking of the native-like pose is still a major problem.
