A5035554675- Robotics and Sensor-Based Localization
- Modular Robots and Swarm Intelligence
- Robotic Path Planning Algorithms
- AI and HR Technologies
- Advanced Image and Video Retrieval Techniques
- Educational Technology and Assessment
- Employer Branding and e-HRM
- Robotics and Automated Systems
- Indoor and Outdoor Localization Technologies
- Diabetes Management and Research
- Diabetes Treatment and Management
- Optimization and Search Problems
- Chronic Kidney Disease and Diabetes
- Metabolism, Diabetes, and Cancer
- University-Industry-Government Innovation Models
- Graph Theory and Algorithms
- Advanced Chemical Sensor Technologies
- RNA regulation and disease
- Stock Market Forecasting Methods
- Genetic and Kidney Cyst Diseases
- Greenhouse Technology and Climate Control
- Insurance and Financial Risk Management
- 3D Modeling in Geospatial Applications
- Educational Technology and Optimization
- Food Supply Chain Traceability
Riga Technical University
2009-2022
Children's Clinical University Hospital
2021
Information Technology Institute
2013
The European Rare Kidney Disease Reference Network (ERKNet) recently established ERKReg, a Web-based registry for all patients with rare kidney diseases. main objectives of this core are to generate epidemiological information, identify current patient cohort clinical research, explore diagnostic and therapeutic management practices, monitor treatment performance patient's outcomes. has modular design that allows integrate comprehensive disease-specific registries as extensions the database....
Dent's disease type 1 (DD1) is a rare X-linked nephropathy caused by CLCN5 mutations, characterized proximal tubule dysfunction, including low molecular weight proteinuria (LMWP), hypercalciuria, nephrolithiasis-nephrocalcinosis, progressive chronic kidney (CKD) and failure (KF). Current management symptomatic does not prevent progression. Here we describe the contemporary DD1 picture across Europe to highlight its unmet needs.A physician-based anonymous international e-survey supported...
Multi-robot mapping and environment modeling have several advantages that make it an attractive alternative to the with a single robot: faster exploration, higher fault tolerance, richer data due different sensors being used by systems. However, robotic systems operating in same area causes problems of higher-order—acquired knowledge fusion synchronization over time, revealing properties using technical specifications. While existing robot map model merging techniques allow certain...
Abstract we present an integrated approach for robot localization that allows to integrate the artificial landmark data with odometric sensors and signal transfer function provide means different practical application scenarios. The sensor fusion deals asynchronous using inverse Laplace transform. We demonstrate a simulation software system ensures smooth integration of odometry-based - based into one approach.
The Characteristics of the Map Merging Methods: A Survey development autonomous mobile robots is a popular field research in artificial intelligence for more than twenty years. An important prerequisite creation robot ability to create map environment. However there are several problems robotic mapping that still not completely solved. use multiple solves some these problems, but this case new specific multi-robot mapping, arise. One merging all local maps have created into one global map....
This paper proposes a probabilistic robotic mapping approach to merge ultrasonic distance readings by modelling them as Gaussian random variables and using scan matching reduce uncertainty in process. To account for the high angular of sensors, both positive (detected objects) negative (the lack detection) are taken into update measurements create updated environment map. support this approach, map consists simultaneously from two parts – free space scans stored occupancy grid obstacle...
The cost associated with employee turnover and the shortage of available workforce in market creates a situation where retention is crucial for successful operation an organization.Working remotely, especially COVID-19 pandemic, increases risks voluntary turnover, since it makes judgment attitudes more difficult managers.Voluntary (VET) measurements are one key indicators evaluating effectiveness personnel management practices organizations.The paper proposes solution to decrease risk...
Abstract An important prerequisite for creation of autonomous robot is the ability to create map environment. Robots need be able construct a environment and use it navigation. In this paper multirobot mapping approach proposed, where artificial landmarks (glyphs) are used localisation only simple sensors - bumper available obstacle detection. The proposed system creates allows changing rapidly in case inaccurate position measurements or sensor errors. has central server robots wireless...
Predicting the growth of broiler chickens is an essential task in poultry industry. The data used study include both production environmental indicators (temperature, gas concentration, humidity, and others) rates (weight, amount feed consumed, fall) by analyzing their correlations throughout several cycles. proposed approach includes stages, starting with pre-processing, weight augmentation, comparison a reference model, definition, detection uncomfortable dangerous conditions. For...
Voluntary employee turnover is an essential threat to companies due the loss of institutional expertise and costs associated with recruitment. In this paper, we continue tackle retention problem by developing a machine learning (ML) based solution providing prototype tool predict potential turnover. Both unsupervised supervised ML methods are applied identify appropriate technique. K-Means clustering algorithm PCA did not show significant results, whereas CART decision tree reached 89 %...
Map Merging in the Context of Image Processing The area map merging is tightly connected to image processing. Usually metric maps created by robots are represented as occupancy grids. It easy apply algorithms used processing this kind representation. subfield that closest registration. can be assumed methods similarly registration consist three components: feature space, search strategy and similarity metric. Algorithms from also for preprocessing. goal paper explore similarities between...