We define basic networks as the undirected subgraphs with minimal number of units in which the distances (geodesics, minimal path lengths) among a set of selected nodes, which we call seeds, in the original graph are conserved. The additional nodes required to draw the basic network are called connectors. We describe a heuristic strategy to find the basic networks of complex graphs. We also sho...

In the domain of question-answering in NLP, retrieval Frequently Asked Questions (FAQ) is an important sub-area which well researched and has been worked upon for many languages. Here, response to a user query, system typically returns relevant FAQs from knowledge-base. The efficacy such depends on its ability establish semantic match between query real-time. task becomes challenging due inhere...

In its most elementary form, compressed sensing studies the design of decoding algorithms to recover a sufficiently sparse vector or code from lower dimensional linear measurement vector. Typically it is assumed that decoder has access encoder matrix, which in combinatorial case and binary. this paper we consider problem designing set codes their measurements alone, without matrix. To end study...

A new class of analog-to-digital (A/D) and digitalto-analog (D/A) converters using a flaky quantiser, called the β-encoder, has been shown to have exponential bit rate accuracy while possessing a self-correction property for fluctuations of the amplifier factor β and the quantiser threshold ν. The probabilistic behavior of such a flaky quantiser is explained as the deterministic dynamics of the...

Nowadays, adaptive modulation and coding (AMC) techniques can facilitate flexible strategies subject to dynamic channel quality. The AMC transceivers select the most suitable coding and modulation mechanisms subject to the acquired channel information. Meanwhile, a control channel or a preamble is usually required to synchronously coordinate such changes between transmitters and receivers. On t...

Transformer architecture has emerged to be successful in a number of natural language processing tasks. However, its applications medical vision remain largely unexplored. In this study, we present UTNet, simple yet powerful hybrid that integrates self-attention into convolutional neural network for enhancing image segmentation. UTNet applies modules both encoder and decoder capturing long-rang...

In this study, the anomaly analysis of Alzheimer’s disease using positron emission tomography (PET) images an unsupervised proposed adversarial model is investigated. The consists three parts: a parallel-network encoder, which comprised convolutional pipeline and dilated that extracts global local features concatenates them, decoder reconstructs input image from obtained feature vector, discrim...

Each family of Gauss hypergeometric functions fn = 2F1(a + ε1n, b + ε2n; c + ε3n; z), for fixed εj = 0,±1 (not all εj equal to zero) satisfies a second order linear difference equation of the form Anfn−1 + Bnfn + Cnfn+1 = 0. Because of symmetry relations and functional relations for the Gauss functions, many of the 26 cases (for different εj values) can be transformed into each other. We give a...

MPEG-4 which is currently being developed by MPEG (Moving Pictures Experts Group), is poised to become a standard for supporting current and emerging interactive multimedia applications. The objective of MPEG-4 is to support content-based compression, communication, access and manipulation of digital objects which can be natural or synthetic. Since MPEG-4 based video consists of objects and pro...

To meet the requirement of distributed video coding (DVC) in resource-limited sensor networks, Wyner-Ziv theorem-based source coding with side information only available at the decoder states that an intraframe encoder with interframe decoder system can achieve comparable coding efficiency of a conventional interframe encoder and interframe decoder system. In this paper, firstly, a block discre...