Assessing the performance of unmanned aerial vehicle for logistics and transportation leveraging the Bayesian network approach

NUI Hossain, N Sakib, K Govindan - Expert Systems with Applications, 2022 - Elsevier
Applications of drone technology are gradually becoming widespread all over the world.
Remote medical support, commodities transportation within due time, live-action movies …

[HTML][HTML] UAV and IoT-based systems for the monitoring of industrial facilities using digital twins: Methodology, reliability models, and application

Y Sun, H Fesenko, V Kharchenko, L Zhong… - Sensors, 2022 - mdpi.com
This paper suggests a methodology (conception and principles) for building two-mode
monitoring systems (SMs) for industrial facilities and their adjacent territories based on the …

[HTML][HTML] UAV fleet as a dependable service for smart cities: Model-based assessment and application

V Kharchenko, I Kliushnikov, A Rucinski, H Fesenko… - Smart Cities, 2022 - mdpi.com
The paper suggests a model-based approach to assessment and choice of parameters of
unmanned aerial vehicle (UAV) fleets applied as one of the main services for Smart Cities …

[HTML][HTML] Quality models for artificial intelligence systems: characteristic-based approach, development and application

V Kharchenko, H Fesenko, O Illiashenko - Sensors, 2022 - mdpi.com
The factors complicating the specification of requirements for artificial intelligence systems
(AIS) and their verification for the AIS creation and modernization are analyzed. The …

Routing an unmanned aerial vehicle during npp monitoring in the presence of an automatic battery replacement aerial system

H Fesenko, I Kliushnikov, V Kharchenko… - 2020 IEEE 11th …, 2020 - ieeexplore.ieee.org
The paper is devoted to routing an unmanned aerial vehicle (UAV) during the Zaporizhzhia
nuclear power plant monitoring without returning to the depot due to the deployment of an …

[PDF][PDF] Scheduling UAV fleets for the persistent operation of UAV-enabled wireless networks during NPP monitoring

IM Kliushnikov, HV Fesenko, VS Kharchenko - 2020 - dspace.library.khai.edu
УДК: 621 Page 1 Гарантоздатність та резіл’єнтність комп'ютерних систем 29 UDC 629.7.014-519.064.5-022.332:621.311.25-047.36
doi: 10.32620/reks.2020.1.03 IM KLIUSHNIKOV1, HV FESENKO2, VS KHARCHENKO2 1 …

[PDF][PDF] UAV fleet based accident monitoring systems with automatic battery replacement systems: Algorithms for justifying composition and use planning

I Kliushnikov, H Fesenko, V Kharchenko… - … Journal of Safety and …, 2021 - researchgate.net
Accepted: 12 July 2021 The existing approaches suggest that justifying robotic monitoring
systems composition and use planning are carried out through a set of predefined missions …

Information-extreme machine training of on-board recognition system with optimization of RGB-component digital images

I Naumenko, M Myronenko, T Savchenko - … and computer systems, 2021 - nti.khai.edu
The research increases the recognition reliability of ground natural and infrastructural
objects by use of an autonomous onboard unmanned aerial vehicle (UAV). An information …

Integrated Information Model of an Enterprise and Cybersecurity Management System: From Data to Activity

S Dotsenko, O Illiashenko, V Kharchenko… - International Journal of …, 2022 - igi-global.com
The paper analyzes the concepts of" data"," information"," knowledge"," intelligence","
activity", establishes their relationship in the context of integrating information about the …

Evaluating Reliability of a Multi-fleet with a Reserve Drone Fleet:: an Approach and Basic Model

H Fesenko, V Kharchenko… - … Conference on Information …, 2019 - ieeexplore.ieee.org
A matrix of drone fleet reliability assessment attributes is presented. Policies of failed drone
recovery by redundant drones are formulated. A structure of a multi-fleet, consisting of main …