A5065271015- Cryospheric studies and observations
- Underwater Acoustics Research
- Landslides and related hazards
- Winter Sports Injuries and Performance
- Advanced Data Processing Techniques
- Seismic Imaging and Inversion Techniques
- Oceanographic and Atmospheric Processes
- Underwater Vehicles and Communication Systems
- Mineral Processing and Grinding
- Seismic Waves and Analysis
- Blind Source Separation Techniques
- Maritime Navigation and Safety
- Robotics and Sensor-Based Localization
- Fish Ecology and Management Studies
- Automated Road and Building Extraction
- Ocean Waves and Remote Sensing
- Modular Robots and Swarm Intelligence
- Marine Bivalve and Aquaculture Studies
- Gas Sensing Nanomaterials and Sensors
- Time Series Analysis and Forecasting
- Coastal wetland ecosystem dynamics
- Coastal and Marine Dynamics
- EEG and Brain-Computer Interfaces
- Water Quality Monitoring Technologies
- Emotion and Mood Recognition
Tallinn University of Technology
2020-2024
University of Warwick
2018
Emotion recognition using brain wave signals involves high dimensional electroencephalogram (EEG) data. In this paper, a window selection method based on mutual information is introduced to select an appropriate signal reduce the length of signals. The motivation windowing comes from EEG emotion being computationally costly and data having low signal-to-noise ratio. aim find reduced where emotions are strongest. it suggested, that only section which best describes improves classification...
Monitoring and assessment of coastal river velocities plays a key role in both scientific industry applications. Field measurements are for decision making resource management protection, as well validation numerical models climate change studies. In this paper, Hall effect sensor-based cost effective novel device is proposed measuring direction near-bed currents, water-level. This device, called the Hydromast, provides instantaneous real-world conditions, equipped with communication...
Subsurface flows are challenging to map due the inaccessibility and extreme nature. This coupled with global positioning system (GPS) denied, sensorially deprived, complex, locally self-similar environments result in most of traditional mapping methods failing. results extensive subsurface that remain unknown unexplored. In this paper, we show it is possible detect features using infinite hidden Markov model (iHMM) from inertial measurement unit data (IMU) collected along surface flow paths....
ROBOMINERS (Bio-Inspired, Modular and Reconfigurable Robot Miners, Grant Agreement No. 820971, http://www.robominers.eu) is a European project funded by the Commission's Horizon 2020 Framework Programme. The aims to test demonstrate new mining sensing technologies on small robot-miner prototype (~1-2T) designed target unconventional uneconomical mineral deposits (technology readiness level 4 5) (Lopez al. 2020). As part of sensor array development, set mineralogical geophysical sensors are...
Earth and Space Science Open Archive This preprint has been submitted to is under consideration at Journal of Geophysical Research - Surface. ESSOAr a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]Topology pressure distribution reconstruction an englacial channelAuthorsLauraPihoAndreasAlexanderiDMaarjaKruusmaaSee all authors Laura PihoTallinn University...
<p>ROBOMINERS (Bio-Inspired, Modular and Reconfigurable Robot Miners, Grant Agreement No. 820971, http://www.robominers.eu) is an European project funded by the Commission's Horizon 2020 Framework Programme. The brings roboticists geoscientists together to explore new mining sensing technologies demonstrate a small robot-miner prototype designed exploit unconventional uneconomical mineral deposits (technology readiness level 4 5). This approach could change current paradigms...
Abstract. Glacier hydrology describes water movement over, through and under glaciers ice sheets. Water reaching the bed influences motion dynamical models, therefore requiring a good understanding of glacier hydrology, particularly pressures pathways. However, as in situ observations are sparse methods for direct pathways internal lacking, our aforementioned pressure remains limited. Here, we present method that allows reconstruction planar subsurface flow paths spatially reference...
Abstract. Information about glacier hydrology is important for understanding and ice sheet dynamics. However, our knowledge water pathways pressure remains limited, as in situ observations are sparse methods direct area-wide limited due to the extreme hard-to-access nature of environment. In this paper, we present a method that allows data collection englacial channels using sensing drifters. Furthermore, demonstrate model takes collected reconstructs planar subsurface flow paths providing...