Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Tomyslav Sledevič"'
Publikováno v:
Agriculture, Vol 14, Iss 11, p 1890 (2024)
This paper addresses the challenge of accurately estimating bee orientations on beehive landing boards, which is crucial for optimizing beekeeping practices and enhancing agricultural productivity. The research utilizes YOLOv8 pose models, trained on
Externí odkaz:
https://doaj.org/article/342212e0b9a548aa97e72c78fe94ffd2
Autor:
Tomyslav Sledevič, Dalius Matuzevičius
Publikováno v:
Data in Brief, Vol 52, Iss , Pp 110060- (2024)
The datasets for bee detection, pose estimation and segmentation consist of organized folders containing both images and corresponding labels. The detection dataset comprises a total of 7200 individual frames collected at 8 different beehives. The po
Externí odkaz:
https://doaj.org/article/48e0a38fda3e4e3e9195df05fa050ba6
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5604 (2023)
This paper discusses an algorithm that attempts to automatically calculate the effect of room reverberation by training a mathematical model based on a recurrent neural network on anechoic and reverberant sound samples. Modelling the room impulse res
Externí odkaz:
https://doaj.org/article/bae4c5a0291447608cc142dc4b23626d
Autor:
Mantas Tamulionis, Tomyslav Sledevič, Vytautas Abromavičius, Dovilė Kurpytė-Lipnickė, Dalius Navakauskas, Artūras Serackis, Dalius Matuzevičius
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1264 (2023)
Taking smartphone-made videos for photogrammetry is a convenient approach because of the easy image collection process for the object being reconstructed. However, the video may contain a lot of relatively similar frames. Additionally, frames may be
Externí odkaz:
https://doaj.org/article/d0e17c561eb24d9cb01d9ce80f9d09c4
Publikováno v:
Agriculture, Vol 12, Iss 11, p 1849 (2022)
The condition of a bee colony can be predicted by monitoring bees upon hive entrance. The presence of pollen grains gives beekeepers significant information about the well-being of the bee colony in a non-invasive way. This paper presents a field-pro
Externí odkaz:
https://doaj.org/article/e8e0500c747f4c41b90f8971880d8326
Autor:
Tomas Jačionis, Vytautas Urbanavičius, Andrius Katkevičius, Vytautas Abromavičius, Artūras Serackis, Tomyslav Sledevič, Darius Plonis
Publikováno v:
Drones, Vol 6, Iss 10, p 306 (2022)
Artificial intelligence used in unmanned aerial vehicle (UAV) flight control systems tends to leave UAV control systems without any radio communication emissions, whose signatures in an electromagnetic spectrum (ES) are widely used to detect UAVs. Th
Externí odkaz:
https://doaj.org/article/a906ace13dd54013ae5f1b7583612145
Method of Singular Integral Equations for Analysis of Strip Structures and Experimental Confirmation
Publikováno v:
Mathematics, Vol 9, Iss 2, p 140 (2021)
This paper presents a rigorous solution of the Helmholtz equation for regular waveguide structures with the finite sizes of all cross-section elements that may have an arbitrary shape. The solution is based on the theory of Singular Integral Equation
Externí odkaz:
https://doaj.org/article/d241600089da40ae83cd44b9f32d1fa8
Autor:
Tomyslav Sledevič
Publikováno v:
Mokslas: Lietuvos Ateitis, Vol 5, Iss 2 (2013)
The paper describes the FPGA-based implementation of the modified speeded-up robust features (SURF) algorithm. FPGA was selected for parallel process implementation using VHDL to ensure features extraction in real-time. A sliding 84×84 size window w
Externí odkaz:
https://doaj.org/article/b72351100b7c448898cd17ba6c5c63fc
Autor:
Tomyslav Sledevič, Liudas Stašionis
Publikováno v:
Mokslas: Lietuvos Ateitis, Vol 5, Iss 2 (2013)
The paper describes the FPGA-based implementation of Lithuanian isolated word recognition algorithm. FPGA is selected for parallel process implementation using VHDL to ensure fast signal processing at low rate clock signal. Cepstrum analysis was appl
Externí odkaz:
https://doaj.org/article/052309dc396b46e38e4b8b8fbd19b661
Autor:
Liudas Stašionis, Tomyslav Sledevič
Publikováno v:
Mokslas: Lietuvos Ateitis, Vol 5, Iss 2 (2013)
This paper describes implementation of the word boundary estimation module in FPGA. The boundary estimation module is based on energy detector. This module is optimized for implementation in FPGA. It occupies 54 logical elements “Slice” and uses
Externí odkaz:
https://doaj.org/article/5ed65cb8e84849f4921c31bfa79eb834