<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Daniela Borissova</style></author><author><style face="normal" font="default" size="100%">Magdalena Garvanova</style></author><author><style face="normal" font="default" size="100%">Zornitsa Dimitrova</style></author><author><style face="normal" font="default" size="100%">Andrea Pandulis</style></author><author><style face="normal" font="default" size="100%">Ivan Garvanov</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Decision Support Framework for Composing of Different Questionnaires Based on Business Model with Optimization</style></title><secondary-title><style face="normal" font="default" size="100%">Integrated Uncertainty in Knowledge Modelling and Decision Making</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year></dates><publisher><style face="normal" font="default" size="100%">Springer Nature</style></publisher><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Daniela Borissova</style></author><author><style face="normal" font="default" size="100%">Petya Cvetkova</style></author><author><style face="normal" font="default" size="100%">Ivan Garvanov</style></author><author><style face="normal" font="default" size="100%">Magdalena Garvanova</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Framework of Business Intelligence System for Decision Making in Efficiency Management</style></title><secondary-title><style face="normal" font="default" size="100%">International Conference on Computer Information Systems and Industrial Management CISIM 2020</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Volodymyr Petrivskyi</style></author><author><style face="normal" font="default" size="100%">Georgi Dimitrov</style></author><author><style face="normal" font="default" size="100%">Viktor Shevchenko</style></author><author><style face="normal" font="default" size="100%">Oleksiy Bychkov</style></author><author><style face="normal" font="default" size="100%">Magdalena Garvanova</style></author><author><style face="normal" font="default" size="100%">Galina Panayotova</style></author><author><style face="normal" font="default" size="100%">Pavel Petrov</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Information Technology for Big Data Sensor Networks Stability Estimation</style></title><secondary-title><style face="normal" font="default" size="100%">Information &amp; Security: An International Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">big data</style></keyword><keyword><style  face="normal" font="default" size="100%">coverage radius</style></keyword><keyword><style  face="normal" font="default" size="100%">data loss</style></keyword><keyword><style  face="normal" font="default" size="100%">sensor network</style></keyword><keyword><style  face="normal" font="default" size="100%">sensor network stability</style></keyword><keyword><style  face="normal" font="default" size="100%">sensors</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2020</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">47</style></volume><pages><style face="normal" font="default" size="100%">141-154</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Sensors and sensor networks are widely used in various industries and human activities and main components of the Internet of Things and Industrial Internet of Things concepts. Nowadays, huge amounts of data, called Big Data, can be transported and collected using sensor networks. This article presents approaches for providing sensor networks’ stability estimation for transporting Big Data and collecting respective use cases. The proposed estimation method allows to detect sensor network’s components that decrease data transport system stability. Consequently, additional connections or sensors can be added to increase stability. In the case of data collection, the solution consists of finding the most vulnerable sensor and an optimal position for the additional sensor with given intersection levels with other sensors. Simulation results confirm the feasibility and effectiveness of the proposed approaches.</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><section><style face="normal" font="default" size="100%">141</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Daniela Borissova</style></author><author><style face="normal" font="default" size="100%">Zornitsa Dimitrova</style></author><author><style face="normal" font="default" size="100%">Magdalena Garvanova</style></author><author><style face="normal" font="default" size="100%">Ivan Garvanov</style></author><author><style face="normal" font="default" size="100%">Petya Cvetkova</style></author><author><style face="normal" font="default" size="100%">Vasil Dimitrov</style></author><author><style face="normal" font="default" size="100%">Andrea Pandulis</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Two-stage Decision-Making Approach to Survey the Excessive Usage of Smart Technologies</style></title><secondary-title><style face="normal" font="default" size="100%">Problems of Engineering Cybernetics and Robotics, Bulgarian Academy of Sciences </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year></dates><volume><style face="normal" font="default" size="100%">73</style></volume><pages><style face="normal" font="default" size="100%">3-16</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Georgi P. Dimitrov</style></author><author><style face="normal" font="default" size="100%">Magdalena Garvanova</style></author><author><style face="normal" font="default" size="100%">Eugenia Kovatcheva</style></author><author><style face="normal" font="default" size="100%">Kristian Aleksiev</style></author><author><style face="normal" font="default" size="100%">Inna Dimitrova</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Identification of EEG Brain Waves Obtained by Emotive Device</style></title><secondary-title><style face="normal" font="default" size="100%">2019 9th International Conference on Advanced Computer Information Technologies (ACIT)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">5-7 June 2019</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>