PROPOSAL FOR STREAMLINING THE RAILWAY INFRASTRUCTURE CAPACITY ON THE SPECIFIC TRACK SECTION IN THE CONTEXT OF ESTABLISHING AN INTEGRATED TRANSPORT SYSTEM

Proposal for Streamlining the Railway Infrastructure Capacity on the Specific Track Section in the Context of Establishing an Integrated Transport System

This paper is processed based on assessing the current capacity Daily Cream condition of the specific railway track section which connects two cities.Particularly, it proposes a set of possible measures in order to increase the permeable railway tracks performance (permeability) for the purpose of establishing an integrated transport system.In deta

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Subaltern can write! A decolonial and intersectional contribution in the work of Carolina Maria de Jesus for organizational studies

This study aims to investigate how it is possible to establish a connection through relevant characteristics in contemporary companies regarding the theme of black women through the study of intersectionality, as (re)producer of structural and social inequalities identified in the work "Room of eviction: diary of a slum", by Carolina Maria de Jesus

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Remotely Piloted Aircraft System (RPAS)-Based Wildlife Detection: A Review and Case Studies in Maritime Antarctica

In wildlife biology, it is important to conduct efficient observations and quantitative monitoring of wild animals.Conventional wildlife monitoring mainly relies on direct field observations by the naked eyes or through binoculars, on-site image acquisition at fixed spots, and sampling or capturing under severe areal constraints.Recently, remotely

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RPDNet: Automatic Fabric Defect Detection Based on a Convolutional Neural Network and Repeated Pattern Analysis

On a global scale, the process of automatic defect detection represents a critical Angled Hood stage of quality control in textile industries.In this paper, a semantic segmentation network using a repeated pattern analysis algorithm is proposed for pixel-level detection of fabric defects, which is termed RPDNet (repeated pattern defect network).Spe

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