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This paper introduces Euclidean distance filter as a new method for image filtering. It discuses conceptual aspects of the filter and implements examples to illustrate it's application.

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We present a new next generation domain of meta search engine. A Medical Meta Search Engine (MMSE) was designed in this research for the users with no medical expertise. It is enhanced with the domain knowledge obtained from Unified Medical Language System (UMLS) to increase the effectiveness of the searches. The power of the system is based on the ability to understand the semantics of web pages and the user queries. This MMSE transforms a keyword search into a conceptual search. This medical meta search engine aims to generate maximum output with semantic value using minimum input from the user. Since this system is designed to help people seeking information about health on the web, our target users are not medical specialists who can effectively use the special jargon of medicine and access medical databases. Medical experts have the advantage of shrinking the answer set by expressing several terms using medical terminology. Medical meta search engine provides the same advantage to its users through the automated use of the medical domain knowledge in the background. The results of our experiments indicate that, expanding the queries with domain knowledge and increase dramatically the relevance of an answer set and the number of retrieved web pages that are relevant to the user request.

Object detection is responsible for categorizing and locating object in an image or video which has been widely used during recent years. This study represents a model based on Feature Pyramid Network (FPN) and new layers of capsule attention, the represented model is based on anchor and has had 79.5 % MAP in the experiments. On one hand, this imprecision shows improvement up to 7 % than the best existing methods like Yolo V3, Detectron2 etc, on the other hand it doesn’t have acceptable results considering runtime and the number of frames and it is not competitive.