DEVELOPING AN INTELLIGENT EDUCATION SYSTEM FOR DESIGN AND MANUFACTURABILITY EVALUATION



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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Impact of Cranbrook on Graphic Design

Empirical research in the disciplines of art and design has started to escalate and gather consideration within the academic community over the past few decades.However, still, graphic design tends to be a topic extremely under-researched by scholarly persons.Profound research in the field of graphic design extends far beyond the works produced by

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