Small object detection becomes a challenging problem in computer vision due to low resolution and less feature information.Making full use of high-resolution features is an important factor in improving small object detection.In this Horse Boots paper, to improve the utilization of high-resolution features, this work proposes the Bidirectional Mult

The aim of this study is to investigate the effect of two categories of earthquake events on the fragility curves of steel building construction (structures with different Horse Boots number of stories) by considering relative lateral displacement as a damage criterion.The categories used to describe the change in the relative lateral position were

We present an analytic framework based on Self-Organizing Map (SOM) machine learning to study large scale patient data sets.The potency of the approach is demonstrated in Body Oil a case study using gene expression data of more than 200 mature aggressive B-cell lymphoma patients.The method portrays each sample with individual resolution, characteri