ADAPTIVE NOISE RISK MODELLING: FUZZY LOGIC APPROACH

Adaptive noise risk modelling: fuzzy logic approach

Recently, noise pollution has taken place as one of the most human health disorders.The main click here sources of noise are coming from human malpractices on reckless car driving and the use of loud speakers in different festivals at different places.Behavioural study explores that in many places the local usual road traffic noise level exceeds th

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Application of deep learning for semantic segmentation in robotic prostatectomy: Comparison of convolutional neural networks and visual transformers

Purpose: Semantic segmentation is a fundamental part of the surgical application of deep learning.Traditionally, segmentation in vision tasks has been performed using convolutional neural networks (CNNs), but the transformer architecture has recently been introduced and widely investigated.We aimed to investigate the performance of deep learning mo

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Female participation in Politics and Popular Action: from marianism to christocentrism in brazilian catholic action

In the 1960s, in Brazil, several organizations of the called New Leftwere formed.Among all these organizations, the one that most admitted women in their militant click here position, including in positions of leadership, it was Popular Action.In this article we seek to investigate some causes of female inclusion in thispolitical environment, mainl

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