SOCIAL DISTANCE DETECTION USING YOLOV3 ALGORITHM

Ortholog detection using the reciprocal smallest distance algorithm.

All protein coding genes have a phylogenetic history that when understood can lead to deep insights into the diversification or conservation of function, the evolution of developmental complexity, and the molecular basis of disease. One important part to reconstructing the relationships among genes in different organisms is an accurate method to find orthologs as well as an accurate measure of ...

Effective and Efficient XML Duplicate Detection Using Levenshtein Distance Algorithm

There is big amount of work on discovering duplicates in relational data; merely elite findings concentrate on duplication in additional multifaceted hierarchical structures. Electronic information is one of the key factors in several business operations, applications, and determinations, at the same time as an outcome, guarantee its superiority is necessary. Duplicates are several delegacy of ...

YOLOv3: An Incremental Improvement

We present some updates to YOLO! We made a bunch of little design changes to make it better. We also trained this new network that’s pretty swell. It’s a little bigger than last time but more accurate. It’s still fast though, don’t worry. At 320 × 320 YOLOv3 runs in 22 ms at 28.2 mAP, as accurate as SSD but three times faster. When we look at the old .5 IOU mAP detection metric YOLOv3 is quite ...

A Distance-based Kernel Change Detection Algorithm

This paper proposes a distance-based kernel change detection algorithm (DKCD). The input vectors from two images of different times are mapped into a potentially much higher dimensional feature space via a nonlinear mapping. Which will usually increase the linear separation of change and no-change regions. Then, a simple linear distance measure between two feature vectors of high dimension is d...

Community Detection Algorithm for Big Social Networks Using Hybrid Architecture