- Advanced Optimization Algorithms Research
- Multilevel Inverters and Converters
- Optimization and Variational Analysis
- Risk and Portfolio Optimization
- Turtle Biology and Conservation
- Electric Motor Design and Analysis
- Primate Behavior and Ecology
- Statistical Methods and Inference
- Game Theory and Applications
- Sensorless Control of Electric Motors
- Wildlife Ecology and Conservation
- Species Distribution and Climate Change
- Multi-Criteria Decision Making
- Identification and Quantification in Food
- Machine Learning and Algorithms
- Artificial Intelligence in Games
- Face and Expression Recognition
- Sparse and Compressive Sensing Techniques
- Contact Mechanics and Variational Inequalities
- Game Theory and Voting Systems
- Computational Drug Discovery Methods
- Advanced Multi-Objective Optimization Algorithms
- Machine Learning in Materials Science
- Metaheuristic Optimization Algorithms Research
- Topology Optimization in Engineering
University of West Bohemia
2014-2025
Czech Technical University in Prague
2020-2024
Universidade de Vigo
2023
Heidelberg University
2020
Indian Institute of Technology Delhi
2020
DKFZ-ZMBH Alliance
2020
Southern University of Science and Technology
2017-2020
Heidelberg Institute for Theoretical Studies
2020
Humboldt-Universität zu Berlin
2018
Oxford Brookes University
2018
In this paper, we present WildlifeDatasets – an open-source toolkit intended primarily for ecologists and computer-vision / machine-learning researchers. The is written in Python, allows straightforward access to publicly available wildlife datasets, provides a wide variety of methods dataset pre-processing, performance analysis, model fine-tuning. We show-case the various scenarios baseline experiments, including, best our knowledge, most comprehensive experimental comparison datasets...
This paper introduces the first public large-scale, long-span dataset with sea turtle photographs captured in wild -$SeaTurtleID2022$. The contains 8729 of 438 unique individuals collected within 13 years, making it longest-spanned for animal re-identification. Each photograph includes various annotations, e.g., identity, encounter timestamp, and body parts segmentation masks. Instead a standard ''random" split, allows two realistic ecologically motivated splits: (i) time-aware: closed-set...
We study a special case of an optimal control problem governed by differential equation and rate--independent variational inequality, both with given initial conditions. Under certain conditions, the inequality can be reformulated as inclusion discontinuous right-hand side. This is known sweeping process.  We perform discretization scheme prove convergence solutions discretized problems to solution original problem. For we properties map compute its coderivative. Employing appropriate...
The challenge for control of permanent magnet synchronous motor (PMSM) drives is to achieve high dynamics, accurate steady-state performance, and respect all constraints on input voltage stator currents. Many partial results each these aspects are available. Recently, it has been shown that the existing techniques can be combined with ideas from predictive satisfaction state such as maximum current amplitude. In this article, we propose complement direct-speed-control-based state-dependent...
Urban utility cycling is being promoted widely due to various health, social, economic and environmental benefits. This study seeks identify rank which municipal-level policies other factors are most influential in increasing as a means of everyday transport improving the real perceived safety car-oriented urban centres. achieved by identifying key thought influence cycle use establishing hierarchy effectiveness municipal policies. Data was collected through interviews with panel experts who...
Many efficient algorithms have been designed to recover Nash equilibria of various classes finite games. Special continuous games with infinite strategy spaces, such as polynomial games, can be solved by semidefinite programming. In general, however, are not directly amenable computational procedures. this contribution, we develop an iterative generation technique for finding a equilibrium in whole class two-person zero-sum compact sets. The procedure, which is called the double oracle...
A new method of time-optimal control the currents in permanent magnet synchronous machine is proposed. The voltage constrained to lie a circle known diameter. Implicit equation for time-to-go function provided and its numerical solution To avoid chattering, current deterministically switched with predictive controller. We show how apply proposed cascade PMSM drive.
Abstract An efficient, function-space-based second-order method for the $H^1$-projection onto Gibbs simplex is presented. The makes use of theory semismooth Newton methods in function spaces as well Moreau–Yosida regularization and techniques from parametric optimization. A path-following technique considered parameter updates. rigorous first- sensitivity analysis value regularized problem provided to justify update scheme. viability algorithm then demonstrated two applications found...
We introduce a new wildlife re-identification dataset WildlifeReID-10k with more than 214k images of 10k individual animals. It is collection 30 existing datasets additional processing steps. contains animals as diverse marine turtles, primates, birds, African herbivores, mammals and domestic Due to the ubiquity similar in datasets, we argue that standard (random) splits into training testing sets are inadequate for propose similarity-aware split based on similarity extracted features. To...
We propose a new method - WildFusion for individual identification of broad range animal species. The fuses deep scores (e.g., MegaDescriptor or DINOv2) and local matching similarity LoFTR LightGlue) to identify animals. global information fusion is facilitated by score calibration. In zero-shot setting, relying on only, achieved mean accuracy, measured 17 datasets, 76.2%. This better than the state-of-the-art model, MegaDescriptor-L, whose training set included 15 datasets. If...
A class of evolution quasi-static systems which leads, after a suitable time discretization, to recursive non-linear programs, is considered and optimal control or identification problems governed by such are investigated. The resulting problem an evolutionary Mathematical Programs with Equilibrium Constraints. subgradient information the (in general nonsmooth) composite objective function evaluated solved implicit programming approach. abstract theory illustrated on delamination unilateral...
Multiphase motor drives based on a cascaded H-bridge (CHB) voltage source inverter (VSI) are suitable for fault-tolerant applications because damaged can be safely bypassed without interrupting the drive operation.This bypass has effect of an undesired dclink shortage that multiphase motors effectively tolerate if appropriate x-y components injected in stator voltages.These degrees freedom, which not available three-phase motors, permit to reach higher speeds field weakening nor torque...