This paper proposes a modified sine cosine algorithm (MSCA) for discrete sizing optimization of truss structures. The original sine cosine algorithm (SCA) is a population-based metaheuristic that fluctuates the search agents about the best solution based on sine and cosine functions. The efficiency of the original SCA in solving standard optimization problems of well-known mathematical function...

Similarity measures are an important tool in pattern recognition and medical diagnosis. To overcome some disadvantages of existing cosine similarity measures for simplified neutrosophic sets (SNSs) in vector space, this paper proposes improved cosine similarity measures for SNSs based on the cosine function, including single valued neutrosophic cosine similarity measures and interval neutrosoph...

This paper presents a recommendation module which provides preferable photo contents to the user from among the huge amount of photo contents in UMPC database. To extract the preferable photo to user, we use a hybrid approach that is combined with context and content-base approach using data mining concept. Using two vectors concerned with the user profile and the photo metadata, we can calcula...

The image quality depends on level of intensities used in images. Image is consists of various types of objects. Objects in the images are distinguishable because of various intensity levels used. The concentration of intensity levels so called energy can be extracted from image using discrete cosine transform (DCT). In this paper we apply DCT 8x8 block coefficients separately on three differen...