Titlebook: Intelligent Information and Database Systems; 8th Asian Conference Ngoc Thanh Nguyen,Bogdan Trawiński,Tzung-Pei Hong Conference proceedings

联想记忆

Roman Bartusiak,Tomasz Kajdanowicz,Adam Wierzbicki,Leszek Bukowski,Oskar Jarczyk,Kamil Pawlakals auch die Verbindung zwischen diesem und den Stromerzeugern bezeichnet werden sollen, erfordert mit Rücksicht auf die Bedeutung, die ihr für das wirtschaftliche und jederzeit einwandfreie Arbeiten der Stromfortleitung und -verteilung zukommt, nicht nur in der Berechnung, sondern auch in der Art d

乞丐

Redhyte: Towards a Self-diagnosing, Self-correcting, and Helpful Analytic Platformhe conventional statistical hypothesis testing framework with data-mining techniques in a bid for more wholesome and efficient hypothesis testing. The platform is self-diagnosing (it can detect whether the user is doing a valid statistical test), self-correcting (it can propose and make corrections

conduct

Definitive

PACK

Fuzzy Inference System for Mobility Prediction to Control HELLO Broadcasting in MANETetwork topology. However, periodically broadcasting HELLO messages in a fixed interval wastes of a lot of energy and generates the huge amount of redundant control packets across MANET if network mobility is low. In contrast, the frequency of sending HELLO messages will not quickly enough keep track

originality

Resource Allocation for Virtual Service Based on Heterogeneous Shared Hosting Platformsts of resource exploitation effectively. In this paper, we seek the approach of multi-dimensional resource allocation based on heterogeneous shared hosting platforms for virtual services. We construct the problem as an optimized formulation that uses a linear programming to minimize the number of ph

MAOIS

Design and Implementation of Data Synchronization and Offline Capabilities in Native Mobile Appsdevice app as a distributed storage system. The solution aggregates the best practices in business and academic research to achieve a reduction in redundant data transfer and an ability to work offline in smart devices.

不可磨灭

A Machine Learning Based Technique for Detecting Digital Image Resampling usually exposed to several geometric transformations, such as rescaling and rotating. Since the manipulations require a resampling step, uncovering traces of resampling became an important approach for detecting image forgeries. In this paper, we propose a new technique to reveal image resampling a

Tidious

叙述

Cooperation Prediction in GitHub Developers Network with Restricted Boltzmann Machinesed on information extracted from network using pre-processing done by Restricted Boltzmann Machine (RBM) and statistical inference models. Input space is fed to RBM in order to provide new sparse coded feature space that is used in order to estimate parameters of classical inference models. By acco