228 citations
- Universidad Rey Juan CarlosES23 papers
- Center for Physical Sciences and TechnologyLT6 papers
- University of Maryland, College ParkUS4 papers
- Stanford UniversityUS3 papers
- Warsaw University of TechnologyPL3 papers
- Australian National UniversityAU2 papers
- Harvard UniversityUS2 papers
- Humboldt-Universität zu BerlinDE2 papers
- Institut de Sciences des Matériaux de MulhouseFR2 papers
- RMIT UniversityAU2 papers
- University of Colorado BoulderUS2 papers
- University of PisaIT2 papers
60 papers
Eliciting User Requirements for AI-Enhanced Learning Environments using a Participatory Approach
Bibeg Limbu, Irene-Angelica Chounta, Vilma Sukacke +5
This paper explores the needs and expectations of educational stakeholders for AI (Artificial Intelligence)-enhanced learning environments. Data was collected following two-phased…
The Effect of Spike Geometry on the Linear and Nonlinear Plasmonic Properties of Gold Nanourchins
Domantas Peckus, Fatima Albatoul Kasabji, Maziar Moussavi +8
Wet-chemistry synthesized Gold nanourchins (Au NUs), characterized by spiky morphologies with spherical cores, exhibit complex and geometry-dependent plasmonic properties distinct…
Obstructive Sleep Apnea Characterization: A Multimodal Cross-Recurrence-Based Approach for Investigating Atrial Fibrillation
Mantas Rinkevičius, Jesús Lázaro, Eduardo Gil +4
Obstructive sleep apnea (OSA) is believed to contribute significantly to atrial fibrillation (AF) development in certain patients. Recent studies indicate a rising risk of AF with…
Phenothiazine-Based Self-Assembled Monolayer with Thiophene Head Groups Minimizes Buried Interface Losses in Tin Perovskite Solar Cells
Valerio Stacchini, Madineh Rastgoo, Mantas Marčinskas +12
Self-assembled monolayers (SAMs) have revolutionized the fabrication of lead-based perovskite solar cells, but they remain underexplored in tin perovskite systems. PEDOT is the mat…
Characterization of Fractal Basins Using Deep Convolutional Neural Networks
David Valle, Alexandre Wagemakers, Alvar Daza +1
Neural network models have recently demonstrated impressive prediction performance in complex systems where chaos and unpredictability appear. In spite of the research efforts carr…
Extracting Sentence Embeddings from Pretrained Transformer Models
Lukas Stankevičius, Mantas Lukoševičius
Pre-trained transformer models shine in many natural language processing tasks and therefore are expected to bear the representation of the input sentence or text meaning. These se…