Node Localization Method in Wireless Sensor Networks Using Combined Crow Search and the Weighted Centroid Method

Node localization is critical for accessing diverse nodes that provide services in remote places.Single-anchor Soft book localization techniques suffer co-linearity, performing poorly.The reliable multiple anchor node selection method is computationally intensive and requires a lot of processing power and time to identify suitable anchor nodes.Node

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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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