Abstract In this paper, the concept of complex linear Diophantine fuzzy set (CLDFS), which is obtained by integrating phase term into structure (LDFS) and thus an extension LDFS, introduced. other words, ranges grades membership, non-membership, reference parameters in LDFS are extended from interval [0, 1] to unit circle plane. Besides, approach proposed remove conditions associated with compl...

Cosine modulated lter banks are a well{known signal processing tool whose applicative eld ranges from coding, to ltering, to spectral estimation. Because of their peculiar structure (the impulse responses are obtained by modulating a prototype window with trigonometric functions) they are easy to design and have a low computation complexity. Their continuous{time counterpart, local cosine bases...

Finding similar user pairs is a fundamental task in social networks, with numerous applications in ranking and personalization tasks such as link prediction and tie strength detection. A common manifestation of user similarity is based upon network structure: each user is represented by a vector that represents the user’s network connections, where pairwise cosine similarity among these vectors...

We present a novel unified framework for both static and space-time saliency detection. Our method is a bottom-up approach and computes so-called local regression kernels (i.e., local descriptors) from the given image (or a video), which measure the likeness of a pixel (or voxel) to its surroundings. Visual saliency is then computed using the said "self-resemblance" measure. The framework resul...

Pengguna Twitter di Indonesia pada tahun 2021 tercatat mencapai 63,6% dari jumlah populasi dan menempati urutan ke-5 sosial media yang sering diakses oleh masyarakat Indonesia. Semakin tingginya tingkat pengguna memberi peluang bagi penggunanya untuk melakukan cybercrime seperti cyberbullying. Korban cyberbullying rentan terkena depresi dibandingkan dengan korban tindakan kekerasan verbal lainn...

Multidocument extractive summarization relies on the concept of sentence centrality to identify the most important sentences in a document. Centrality is typically defined in terms of the presence of particular important words or in terms of similarity to a centroid pseudo-sentence. We are now considering an approach for computing sentence importance based on the concept of eigenvector centrali...