Search Results - "Suzdalev, Ivan"
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The Application of Hough Transform and Canny Edge Detector Methods for the Visual Detection of Cumuliform Clouds
Published in Sensors (Basel, Switzerland) (29-08-2021)“…The increase in flying time of unmanned aerial vehicles (UAV) is a relevant and difficult task for UAV designers. It is especially important in such tasks as…”
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Measurements of Flammable Gas Concentration in Landfill Areas with a Low-Cost Sensor
Published in Energies (Basel) (01-07-2021)“…Global warming, as the result of the negative impact of humans on climate change, has been observed based on various data sources. Various measures have aimed…”
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Reducing WCET Overestimations in Multi-Thread Loops with Critical Section Usage
Published in Energies (Basel) (01-03-2021)“…Worst-case execution time (WCET) is an important metric in real-time systems that helps in energy usage modeling and predefined execution time requirement…”
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METHOD FOR REAL TIME FACE RECOGNITION APPLICATION IN UNMANNED AERIAL VEHICLES
Published in Aviation (Vilnius, Lithuania) (01-01-2019)“…Newly evolving threats to public safety and security, related to attacks in public spaces, are catching the attention of both law enforcement and the general…”
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DETECTION OF ATMOSPHERIC THERMAL FLOWS BY USE OF ARTIFICIAL NEURAL NETWORK / KYLANČIO ORO SRAUTŲ NUSTATYMAS DIRBTINIAIS NEURONŲ TINKLAIS
Published in Aviation (Vilnius, Lithuania) (04-10-2011)“…This article analyses the determination of a rising thermal flow with assistance of an artificial neural network. Input data for the artificial neural network…”
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Ascending Thermal Localization And Its Strongest Zone Centering By Artificial Neural Networks
Published in Science future of Lithuania (01-04-2011)“…Thermal localization and their strongest zone centering by artificial neural networks (ANN), and it are used by the automatic or semiautomatic control system…”
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Detection of atmospheric thermal flows by use of artificial neural network
Published in Aviation (Vilnius, Lithuania) (01-09-2011)“…This article analyses the determination of a rising thermal flow with assistance of an artificial neural network. Input data for the artificial neural network…”
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Ascending thermal localization and its strongest zone centering by artificial neural networks/ Kylanciu oro srautu lokalizavimas ir maksimalios kilimo zonos nustatymo, panaudojant dirbtiniu neuronu tinklus, modeliavimo aspektai
Published in Science future of Lithuania (01-11-2009)“…Thermal localization and their strongest zone centering by artificial neural networks (ANN), and it are used by the automatic or semiautomatic control system…”
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