Category: 7. Maths

Data set

The data used in this paper are sourced from the Information Database of Competence Parameters of China’s Inspection and Testing Organisations (hereinafter referred to as the “Capability Parameter Information”). This database…

Our proposed coal mine dust image defogging model mainly consists of two parts: three-channel color balance and three-stream image defogging, and the structure of the coal mine dust image defogging model is shown in Fig. 2.

Measurement system based on a smartphone

Smartphones have become an essential tool in modern society, which has extensive and rich functionalities. Among these, image and video capture technologies achieve rapid development with the advancement of…

Model structure

The population is partitioned into three disjoint compartments, corresponding to broad demographic categories: offspring, breeders and nonbreeding adults, labeled \(\left\{{\mathrm{C,B,A}}\right\}\), respectively. Denoting by

Ethics Statement

This study utilized both public datasets and private de-identified data sources. The research was exempt from institutional review board oversight under relevant institutional and federal guidelines. All data were handled in…

This section presents further details on the proposed approach of GNN that enhances the identification of driver genes at the individual patient level by leveraging multi-scale attention GAT. A novel approach of GAT will be updated embeddings for…

Random initialization

During random initialization, we adopt the same approach as described in², randomly generating a hypothesis \(\:\theta \: = [n^{T} ,d]^{T}\) for each pixel in the reference image \(\:{I}_{ref}\) to construct a 3D plane, where…

Data

We digitally extracted 7774 cancer pathology reports of 7228 unique patients from the Mayo Clinic’s Unified Data Platform (UDP)³¹. The pathology reports consist of four components: 1) the gross description, 2) the preliminary frozen section…

This manuscript proposes a new ASMHLN-SMDSCM technique. The proposed ASMHLN-SMDSCM model aims to present a novel approach for text summarization on social media using advanced DL models. It comprises distinct levels of text pre-processing,…

Our major aim is to find the anomalies, that is, the granules that are the illegal transactions in the vast sea of transactions that we have, which will lead to letting guiltless civilians continue their transactions uninterrupted and capturing…