Fakulta elektrotechniky a informatiky / Faculty of Electrical Engineering and Computer Science (FEI)
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Studijní materiály E-výuka Fakulty elektrotechniky a informatiky [17]
Kolekce obsahuje studijní materiály portálu E-výuka -
Vysokoškolské kvalifikační práce Fakulty elektrotechniky a informatiky / Theses and dissertations of Faculty of Electrical Engineering and Computer Science (FEI) [12415]
Kolekce obsahuje vysokoškolské kvalifikační práce Fakulty elektrotechniky a informatiky.
Recent Submissions
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Stealthy cyberattacks detection based on Control Performance Assessment methods for the air conditioning industrial installation
(Energies. 2023, vol. 16, issue 3, art. no. 1290.) -
Detection of Tomato leaf diseases for agro-based industries using novel PCA DeepNet
(IEEE Access. 2023, vol. 11, p. 14983-15001.) -
Sensor clustering using a K-means algorithm in combination with optimized unmanned aerial vehicle trajectory in wireless sensor networks
(Sensors. 2023, vol. 23, issue 4, art. no. 2345.) -
COVID-19-associated paediatric inflammatory multisystem syndrome (PIMS-TS) in intensive care: A retrospective cohort trial (PIMS-TS INT)
(Children. 2023, vol. 10, issue 2, art. no. 348.) -
Graphene-based 3D-Printed nanocomposite bioelectronics for monitoring breast cancer cell adhesion
(Biosensors & Bioelectronics. 2023, vol. 226, art. no. 115113.) -
Countdown games, and simulation on (succinct) one-counter nets
(Logical Methods in Computer Science. 2023, vol. 19, issue 1.) -
Novel hybrid optimized clustering schemes with genetic algorithm and PSO for segmentation and classification of articular cartilage loss from MR images
(Mathematics. 2023, vol. 11, issue 4, art. no. 1027.) -
Guidelines for the technical sustainability evaluation of the urban drinking water systems based on analytic hierarchy process
(Resources. 2023, vol. 12, issue 1, art. no. 8.) -
Nanoarchitectonics of triboelectric nanogenerator for conversion of abundant mechanical energy to green hydrogen
(Advanced Energy Materials. 2023, vol. 13, issue 11.) -
Solar and wind quantity 24 h-series prediction using PDE-modular models gradually developed according to spatial pattern similarity
(Energies. 2023, vol. 16, issue 3, art. no. 1085.)