Genome clustering is one of the big data applications that identify the prognosis of terrifying diseases and biological processes across enormous sets of genes. The K-Means (KM) algorithm is the most commonly used clustering algorithm for gene expression data that extracts hidden knowledge, patterns ...
This study has several objectives: (a) developing a robust approach for determining reservoir potential features by exploiting cutting-edge unsupervised AI methods to demarcate clusters and meta-cluster attributes; (b) determining the quality of RRT and gas-bearing potential of depositional facies in a...
According to field investigations, the seeding of rice in the experimental area was directly broadcasted by drones, the rice was growing in the tillering stage, and the herbicide was not sprayed in the rice fields. The weeds in the fields mainly include barnyard grass, leptochloa chinensis, etc...