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The interaction with the various learners in a Massive Open Online Course (MOOC) is often complex. Contemporary MOOC learning analytics relate with click-streams, keystrokes and other user-input variables. Such variables however, do not always capture user ...
Many manipulations in human everyday activities rely on the collaboration of our two hands. Bimanual fine manipulation tasks are particularly demanding as precise coordination among fingers of both hands is required. Yet, despite the abundant degrees of fr ...
Magnetorheological (MR) fluids are materials characterized as “intelligent” since their rheological properties may be controlled by the excitation of an external magnetic field. The application of the latter brings the fluid from a liquid to a semi-solid s ...
Inspired by nature, a common way to create hydrophobic surfaces is by introducing hierarchical and fractal microstructures on surface. While plenty of studies have demonstratedcreating PDC (polymer derived ceramic) for several applications include SiC-fibe ...
Cybersickness is still an inevitable adverse effect when using VR systems, resulting in different levels of discomfort, and potentially breaking the immersive experience. To date, few studies have focused on exploring VR experience in the supine posture. R ...
Many manipulations in human everyday activities rely on the collaboration of our two hands. Bimanual fine manipulation tasks are particularly demanding as precise coordination among fingers of both hands is required. Yet, despite the abundant degrees of fr ...
During one of his many trips around Europe to observe the state of contemporary architecture, Sigfried Giedion went to Stockholm in 1930. On returning to Zurich, he published two extensive pa-pers about the city and the Stockholm Exhibition. The goal here ...
A Suspended microchannel resonator (SMR) is composed by a hollow resonant structure containing embedded microfluidic channel. This device allows to circumvent the viscous damping confining the fluid to the inside of the resonant beam. The goal of this proj ...
MLBench is a framework for benchmarking distributed machine learning algorithms. The main goals of MLBench are to provide a fair benchmarking suite for software and hardware systems and to provide reference implementations for the most common distributed m ...
Recent advances in transfer learning and few-shot learning largely rely on annotated data related to the goal task during (pre-)training. However, collecting sufficiently similar and annotated data is often infeasible. Building on advances in self-supervis ...