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Bayesian estimation of discrete-time cellular neural network coefficients
(TUBITAK Scientific & Technical Research Council Turkey, 2017)
A new method for finding the network coefficients of a discrete-time cellular neural network (DTCNN) is proposed. This new method uses a probabilistic approach that itself uses Bayesian learning to estimate the network ...
Machine Learning Approaches for Predicting Protein Complex Similarity
(Mary Ann Liebert Inc Publ, 2017)
Discriminating native-like structures from false positives with high accuracy is one of the biggest challenges in protein-protein docking. While there is an agreement on the existence of a relationship between various ...
Fully Decentralized and Collaborative Multilateration Primitives for Uniquely Localizing WSNs
(Springer International Publishing Ag, 2010)
We provide primitives for uniquely localizing WSN nodes. The goal is to maximize the number of uniquely localized nodes assuming a fully decentralized model of computation. Each node constructs a cluster of its own and ...
Improving Energy-Efficiency of WSNs through LEFCA
(Sage Publications Inc, 2016)
Wireless sensor networks (WSNs) have become an important part of our lives as they can be used in vast application areas from disaster relief to health care. As a consequence the life span and the energy consumption of a ...
New 2-Edge-Balanced Graphs from Bipartite Graphs
(Wiley-Blackwell, 2016)
Let G be a graph of order n satisfying that there exists lambda epsilon Z(+) for which every graph of order n and size t is contained in exactly. distinct subgraphs of the complete graph K-n isomorphic to G. Then G is ...
Threshold-based Steganography: A Novel Technique for Improved Payload and SNR
(Zarka Private Univ, 2016)
Steganography is the art of hiding user information in various file types including image audio and video. Security of steganography lies in imperceptibility of secret information in the cover image. Human Visual System ...
Accurate Refinement Of Docked Protein Complexes Using Evolutionary Information And Deep Learning
(Imperıal College Press, 2016)
One of the major challenges for protein docking methods is to accurately discriminate native-like structures from false positives. Docking methods are often inaccurate and the results have to be refined and re-ranked to ...
Received signal strength based least squares lateration algorithm for indoor localization
(Pergamon-Elsevier Science Ltd, 2018)
Following the success of accurate location estimation for outdoor environments locating targets in indoor environments has become an important research area. Accurate location estimation of targets for indoor environments ...
Transmitter source location estimation using crowd data
(Pergamon-Elsevier Science Ltd, 2018)
The problem of transmitter source localization in a dense urban area has been investigated where a supervised learning approach utilizing neural networks has been adopted. The cellular phone network cells and signals have ...
A location-based movie advisor application for android devices
(Springer Verlag, 2015)
Android is one of the world’s most popular mobile platforms. There are more than 600000 applications available today’s market place. Movie advisor applications are also available in Google Play but there is no location-based ...