Sentence examples for method using deep from inspiring English sources

This paper presents a novel multi-sensor health diagnosis method using deep belief network (DBN).

A novel pose estimation-dependent automated identification method using deep learning architecture is proposed in this paper for on-trap field moth sample images.

A rapid, simple and green ultrasound-assisted extraction method using deep eutectic solvents (DES) for extraction of As, Cr, Mo, Sb, Se and V in soil samples, has been developed.

For the first time in this study, chitin was solely extracted from lobster shells through a fast, easy and eco-friendly method using deep eutectic solvents (DESs), consisting of mixtures of choline chloride thiourea (CCT), choline chloride urea (CCU), choline chloride glycerol (CCG) and choline chloride malonic acid (CCMA).

To confirm the NRAS negative result in sample Ca97, a second MPS method using deep sequencing was also used to assess exon 3 of the NRAS gene.

Researchers proposed other resource investigations method for kichiji rockfish such as method using deep-sea monitoring system [[3],[4]] and method using manned submersible vessel [[5],[6]], because the fish usually stay on seafloor without moving and have a high visibility in the photograph.

Meanwhile, the proposed method uses deep belief networks (DBNs) to pre-train the NNs that then convert spectral features.

These methods use deep sequencing of the samples tagged with long and redundant barcodes, random barcodes, or endogenous random shear points.

With the growing availability of whole-genome sequence assemblies and novel methods for using deep sequencing/tag profiling to assess expression of a wide range of transcripts (including small regulatory RNAs), we should soon be able to assess generalities associated with expression, and misexpression, in sterile hybrids across broader taxonomic groups.

Sparse coding was used to built deep architecture for structural health monitoring [37], and a unique automated fault detection method named "Tilear" using deep learning concepts was proposed for the quality inspection of electromotor [38].

We propose our method using two deep models: expert and gating networks with independent loss functions and adaptively weighted outputs of every sample.