Titlebook: Artificial Intelligence and Soft Computing; 17th International C Leszek Rutkowski,Rafa? Scherer,Jacek M. Zurada Conference proceedings 2018

慢跑

On the Use of Principal Component Analysis and Particle Swarm Optimization in Protein Tertiary Structhm is based on establishing a low-dimensional space where the sampling (and optimization) is carried out via Particle Swarm Optimizer (PSO). The reduced space is found via Principal Component Analysis (PCA) performed for a set of previously found low-energy protein models. A high frequency term is

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The Shape Language Application to Evaluation of the Vertebra Syndesmophytes Development Progress syntactic description of geometric features of the bone contours. The proposed approach is applied for analysis of vertebra syndesmophytes in X-ray images of the spine. It turns out that the proposed measure assesses the progress of the disease effectively. The results obtained by the algorithm bas

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名字的誤用

Nuclei Detection in Cytological Images Using Convolutional Neural Network and?Ellipse Fitting Algoried to be examined for cancer. The process is tedious and time-consuming but can be automated. Unfortunately, segmentation of cytological samples is very challenging due to the complexity of cellular structures. To deal with this problem, we are proposing an approach, which combines convolutional neu

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https://doi.org/10.1007/978-3-476-05173-8 method (FD), background subtraction method (BS), and optical flow method. Here, authors are looking at the first two approaches since very adequate for very fast real-time treatments whereas optical flow has higher computation cost since related to a dense estimation. Combination of FD and BS with

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