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Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 152
Della Cioppa, Antonio , De Falco, Ivanoe , Koutný, Tomáš , Scafuri, Umberto , Úbl, Martin , Tarantino, Ernesto
Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetes

Diabetes mellitus is a metabolic disease involving high blood glucose levels that can lead to serious medical consequences. Hence, for diabetic patients the prediction of future glucose levels is essential in the management of the disease. Most of the forecasting approaches in the ...

Mouček, Roman , Vařeka, Lukáš , Brůha, Petr , Šnejdar, Pavel
On applications of brain-computer interface

Brain-computer interface (BCI) applications implement a direct communication path between the brain and the computer. This paper deals with the fundamentals of BCI systems and the experience of the neuroinformatics team with the design and implementation of various BCI applications. Their ad...

Weyns, Danny , Gerostathopoulos, Ilias , Abbas, Nadeem , Andersson, Jesper , Biffl, Stefan , Brada, Přemysl , Bureš, Tomáš , Di Salle, Amleto , Galster, Matthias , Lago, Patricia , Lewis, Grace A , Litoiu, Marin , Musil, Angelika , Musil, Juergen , Patros, Panagiotis , Pelliccione, Patrizio
Self-Adaptation in Industry: A Survey

Computing systems form the backbone of many areas in our society, from manufacturing to traffic control, healthcare, and financial systems. When software plays a vital role in the design, construction, and operation, these systems are referred to as software-intensive systems. Self-adaptation...

Mouček, Roman , Brůha, Petr , Šnejdar, Pavel
Brain data and driver's attention during simulated drive

The attention of drivers is a serious issue and one of the critical factors of road safety. The question is whether the electrical activity of the human brain can be correctly measured/collected and utilized to monitor and interpret the driver's attention during simulated ...

De Falco, Ivanoe , Della Cioppa, Antonio , Koutný, Tomáš , Úbl, Martin , Krčma, Michal , Scafuri, Umberto , Tarantino, Ernesto
A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction

In this paper, we propose an innovative Federated Learning-inspired evolutionary frame- work. Its main novelty is that this is the first time that an Evolutionary Algorithm is employed on its own to directly perform Federated Learning activity. A further novelty resides in the fact...

Skala, Václav
A Brief Survey of Clipping and Intersection Algorithms with a List of References (including Triangle-triangle Intersection)

This contribution presents a brief survey of clipping and intersection algorithms in E2 and E3 with a nearly complete list of relevant references. Some algorithms use the projective extension of the Euclidean space and vector-vector operations, which support GPU and SSE use. ...

Dvořák, Jan , Káčereková, Zuzana , Vaněček, Petr , Váša, Libor
Priority-based encoding of triangle mesh connectivity for a known geometry

In certain practical situations, the connectivity of a triangle mesh needs to be transmitted or stored given a fixed set of 3D vertices that is known at both ends of the transaction (encoder/decoder). This task is different from a typical mesh compression scenario, in whi...

Úbl, Martin , Koutný, Tomáš , Della Cioppa, Antonio , De Falco, Ivanoe , Tarantino, Ernesto , Scafuri, Umberto
Distributed Assessment of Virtual Insulin-Pump Settings Using SmartCGMS and DMMS.R for Diabetes Treatment

Diabetes is a heterogeneous group of diseases that share a common trait of elevated blood glucose levels. Insulin lowers this level by promoting glucose utilization, thus avoiding short- and long-term organ damage due to the elevated blood glucose level. A patient with diabetes use...

Tlučhoř, Jan , Přibáň, Pavel , Gangur, Mikuláš , Ircingová, Jarmila , Jakubíková, Dagmar , Janeček, Petr , Maříková, Hana , Štumpf, Petr
Vnímání města v kontextu historické památky na příkladu chebských krovů

The paper deals with the perception and image of the town Cheb in the context of historical heritage. Since 2017, the town has been running a tour of historic trusses. The aim of the research was to determine the influence of this activity on the image of the&#x...

Brůha, Petr , Mouček, Roman , Salamon, Jaromír , Vacek, Vítězslav
Workflow for health-related and brain data lifecycle

Poor lifestyle leads potentially to chronic diseases and low-grade physical and mental fitness. However, ahead of time, we can measure and analyze multiple aspects of physical and mental health, such as body parameters, health risk factors, degrees of motivation, and the overall willing...

Tlučhoř, Jan , Přibáň, Pavel , Gangur, Mikuláš , Ircingová, Jarmila , Dagmar, Jakubíková , Janeček, Petr , Maříková, Hana , Štumpf, Petr
Vnímání města v kontextu historické památky na příkladu chebských krovů

The paper deals with the perception and image of the town Cheb in the context of historical heritage. Since 2017, the town has been running a tour of historic trusses. The aim of the research was to determine the influence of this activity on the image of...

žalik, Borut , Strnad, Damjan , Kohek, Štefan , Kolingerová, Ivana , Nerat, Andrej , Lukač, Niko , Podgorelec, David
A Hierarchical Universal Algorithm for Geometric Objects´Reflection Symmetry Detection

A new algorithm is presented for detecting the global reflection symmetry of geometric objects. The algorithm works for 2D and 3D objects which may be open or closed and may or may not contain holes. The algorithm accepts a point cloud obtained by sampling the object’s&#x...

Potužák, Tomáš , Kolovský, František
Parallelization of the B Static Traffic Assignment Algorithm

A widely used technique for predicting traffic flows in individual roads of a road traffic network is the user-equilibrium (UE) traffic assignment (TA). This technique assigns trips from origins to destinations in a road traffic network so that all trips use the cheapest path. ...

Kohek, Štefan , Lukač, Niko , Strnad, Damjan , Kolingerová, Ivana , žalik, Borut
Data on annotated approximate bilaterally symmetric leaf-off trees based on particle flow simulation and predefined tree crown shape

Trees are natural objects, where deviations through the branches bring challenges to various applications dealing with 3D models, such as compression, visualization, symmetry detection, and radiative transfer simulation. This article describes dataset of approximately symmetric 3D tree models with man...

Hruda, Lukáš , Kolingerová, Ivana , Lávička, Miroslav , Maňák, Martin
Rotational symmetry detection in 3D using reflectional symmetry candidates and quaternion-based rotation parameterization

The property of symmetry in 3D objects is helpful in various applications such as object alignment, compression, symmetrical editing or reconstruction of incomplete objects. However, its robust and efficient detection is a challenging task. The two most commonly occurring types of symmetry&#...

Skala, Václav
Efficient Intersection Computation of the Bezier and Hermite Curves with Axis Aligned Bounding Box

This contribution describes a new form of the Taylor expansion for multidimensional vector functions. The proposed approach uses “standard” formalism of linear algebra, i.e. using vectors and matrices, which is simple, easy to implement. It leads to efficient computation on the GPU in&#...

Abrams, Mathew Birdsall , Bjaalie, Jan G , Das, Samir , Egan, Gary F. , Ghosh, Satrajit S. , Goscinski, Wojtek J. , Grethe, Jeffrey S. , Kotaleski, Jeanette Hellgren , Wei Ho, Eric Tatt , Kennedy, David N. , Lanyon, Linda J. , Leergaard, Trygve B. , Mayberg, Helen S. , Milanesi, Liciano , Mouček, Roman , Poline, J. B. , Roy, Prasun K. , Strother, Stephen C. , Tang, Tong Boon , Tiesinga, Paul , Wachtler, Thomas , Wójcik, Daniel K. , Martone, Maryann E.
A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating

There is great need for coordination around standards and best practices in neuroscience to support efforts to make neuroscience a data-centric discipline. Major brain initiatives launched around the world are poised to generate huge stores of neuroscience data. At the same time, neuros...

Arvanitis, Gerasimos , Zacharaki, Evangelia , Váša, Libor , Moustakas, Konstantinos
Broad-to-Narrow Registration and Identification of 3D Objects in Partially Scanned and Cluttered Point Clouds

The new generation 3D scanner devices have revolutionized the way information from 3D objects is acquired, making the process of scene capturing and digitization straightforward. However, the effectiveness and robustness of conventional algorithms for real scene analysis are usually deteriorated ...

Ettler, Tomáš , Nový, Pavel
Analysis of Laryngeal High-Speed Videoendoscopy recordings – ROI detection

Accurate detection of the glottis in video sequences obtained during the vocal cords examination using Laryngeal High-Speed Videoendoscopy (LHSV) is a prerequisite for the calculation of parameters describing vocal cord kinematics. This work presents the knowledge and methods related to the ...

Koutný, Tomáš , Mayo, Michael
Predicting glucose level with an adapted branch predictor

Background and objective: Diabetes mellitus manifests as prolonged elevated blood glucose levels resulting from impaired insulin production. Such high glucose levels over a long period of time damage multiple internal organs. To mitigate this condition, researchers and engineers have developed th...

Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 152