Big Data are highly effective for systematically extracting and analyzing massive data.It can be useful to manage data proficiently over the conventional data handling approaches.Recently, several schemes have been developed for handling big datasets with several features.At the same time, feature selection (FS) methodologies intend to eliminate re
Delphi technique was developed in 1950 by researchers at the Rand Corporation led by Norman Delkey and Olaf Helmer and has since been used in hundreds of businesses forecasting in the public and private sectors.Delphi technique is a judgmental forecasting procedure for obtaining, exchanging, and developing an informed opinion about future events.Th
The graphene based metal-insulator-metal (MIM) metamaterial is numerically investigated to realize an active and adjustable multi-band perfect absorber, which is composed of an asymmetric double Shooting Mats T-shaped cavity on the top layer.As the symmetry of T-shaped cavities is broken, the previous dual-band absorption will be converted to tri-b
Abstract Neural networks provide new possibilities to uncover semantic relationships between words by involving contextual information, and further Copper Tube Reaming Tool a way to learn the matching pattern from document-query word contextual similarity matrix, which has brought promising results in IR.However, most neural IR methods rely on the