An Advanced Teaching Lab for the Setting up of an Islanded Production Unit

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Magnonics addresses the physical properties of spin waves and utilizes them for data processing. Scalability down to atomic dimensions, operation in the GHz-to-THz frequency range, utilization of nonlinear and nonreciprocal phenomena, and compatibility wit ...

Occupants play a key role in determining final building energy consumption. Empirical evidence must support occupants' modelling. Experiments on human responses to Indoor Environmental Quality (IEQ) are usually performed in test rooms or as in-field monito ...

Heart failure is a cardiovascular disease affecting between 1 and 2% of the population of developed countries alone - more than 10 million people - with this number bound to increase due to the ageing of the population. This condition starts to develop its ...

Artificial intelligence (AI) and machine learning (ML) have become de facto tools in many real-life applications to offer a wide range of benefits for individuals and our society. A classic ML model is typically trained with a large-scale static dataset in ...

Hyperdimensional computing is a promising novel paradigm for low-power embedded machine learning. It has been applied on different biomedical applications, and particularly on epileptic seizure detection. Unfortunately, due to differences in data preparati ...

The limitations and potential complications correlated with autogenous bone grafts have raised interest in the development of synthetic bone graft substitutes. ß-tricalcium phosphate (ß-TCP) is one of the most promising materials for synthetic bone graft s ...

This thesis describes advances in the use of novel configurations of non-invasive brain stimulation over the visual system allowing to modulate of modifying electro-physiological activity, interregional interactions and by it, visual behavior such as motio ...

Recent breakthroughs in deep learning often rely on representation learning and knowledge transfer. In recent years, unsupervised and self-supervised techniques for learning speech representation were developed to foster automatic speech recognition. Up to ...

Single-walled carbon nanotubes (SWCNTs) have garnered significant interest for their applications in optical biosensing. SWCNTs exhibit a sensitive and photostable fluorescence in the near-infrared (NIR) range, allowing for the continuous monitoring of tar ...

Transformer-based language models trained on large text corpora have enjoyed immense popularity in the natural language processing community and are commonly used as a starting point for downstream tasks. While these models are undeniably useful, it is a c ...

In recent years, population aging and the consequent higher incidence of noncommunicable diseases, have increased the need for long-term health monitoring. Moreover, as healthcare cost is projected to grow substantially by 2030 in OECD countries, the deman ...

The recent trend of an increasing share of renewable energy sources in modern power systems, as well as the integration of power electronics equipment, is shaping the requirements for stable grid infrastructure. These requirements mainly come from the stab ...

Wood-wood connections, widely used in the past, have been progressively replaced by steel fasteners in timber constructions. Currently, they can be manufactured and implemented more efficiently thanks to digital fabrication techniques. In addition, with th ...

In this work, we analyse how to define a conditional version of Sibson's alpha-Mutual Information. Several such definitions can be advanced and they all lead to different information measures with different (but similar) operational meanings. We will analy ...

An Advanced Teaching Lab for the Setting up of an Islanded Production Unit

Chat with Graph Search

Advances in Magnetics Roadmap on Spin-Wave Computing

Bridging the gap from test rooms to field-tests for human indoor comfort studies: A critical review of the sustainability potential of living laboratories

Ultra-high voltage, low power and energy recovering electronics for dielectric elastomer actuators

Lifelong Machine Learning with Data Efficiency and Knowledge Retention

Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection

Atomistic simulation and electron microscopy to characterize grain boundaries in doped beta-tricalcium phosphate ceramics

Orchestration of oscillatory activity to improve visual motion discrimination

Word-level Embeddings for Cross-Task Transfer Learning in Speech Processing

Directed evolution of DNA-wrapped single-walled carbon nanotube complexes for optical sensing

Interpreting Language Models Through Knowledge Graph Extraction

System-level Design of Adaptive Wearable Sensors for Health and Wellness Monitoring

Medium Voltage Impedance and Admittance Measurement and System Identification Techniques

A Calculation Method for Interconnected Timber Elements Using Wood-Wood Connections

On conditional Sibson's alpha-Mutual Information