Jakub Gotthans - researchr alias

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Viewing Publication 1 - 8 from 8

2023

Improving TDOA Radar Performance in Jammed Areas through Neural Network-Based Signal ProcessingJakub Gotthans, Tomás Gotthans, David Novak. sensors, 23(6):2889, March 2023. [doi]

2022

Evaluation of Traffic Crossings Situations using Machine LearningJakub Hlavacek, Jakub Gotthans. radioelektronika 2022: 1-4 [doi]

Deep Learning Pipeline for Chromosome SegmentationKristyna Pijackova, Tomás Gotthans, Jakub Gotthans. radioelektronika 2022: 1-5 [doi]

Micro-Doppler Effect and Determination of Rotor Blades by Deep Neural NetworksStanislav Vanek, Jakub Gotthans, Tomás Gotthans. radioelektronika 2022: 1-6 [doi]

2021

Prediction of Object Position from Aerial Images Utilising Neural NetworksJakub Gotthans, Tomás Gotthans, Roman Marsálek. radioelektronika 2021: 1-5 [doi]

2020

Deep Convolutional Neural Network for Fire DetectionJakub Gotthans, Tomás Gotthans, Roman Marsálek. radioelektronika 2020: 1-6 [doi]

2019

Temperature Compensation-Based Behavioral Modeling for Digital Predistortion of RF Power AmplifiersTomás Gotthans, Roman Marsálek, Jakub Gotthans. isspit 2019: 1-4 [doi]

2016

Influence of Filter-Bank RF transceiver chain imperfections on digital predistortion performanceTomas Gotthans, Roman Marsalek, Jakub Gotthans, Geneviève Baudoin. iswcs 2016: 623-627 [doi]

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