The idea of the wisdom of the crowd is that integrating multiple estimates of a group of individuals provides an outcome that is often better than most of the underlying estimates or even better than the best individual estimate. In this paper, we examine the wisdom ...

The recent surge in the field of generative artificial intelligence (GenAI) has the potential to bring about transformative changes across a range of sectors, including software engineering and education. In light of the considerable power of these tools and their largely freely availab...

With the increasing significance of machine learning (ML) systems across various industries, leveraging Machine Learning Operations (MLOps) to effectively streamline the lifecycle of ML models has become a focal point. Central to the MLOps is the effective management of data, which is a...

Das heutige Internet wird durch privatwirtschaftlich betriebene Plattformen der unterschiedlichsten Art geprägt. Dieser Beitrag fragt danach, wie sich die kommerziellen Kommunikations‑, Markt‑, Konsum- und Serviceplattformen als distinkte Unternehmensform fassen lassen. Dazu wird eine basale Unterscheidung zwischen ...

Die genaue Bestimmung der Sperrschichttemperatur spielt eine elementare Rolle bei der Optimierung der Leistungsfähigkeiten sowie der Zuverlässigkeit von SiC (Silicon Carbide)-Leistungsmodulen. Im Rahmen der indirekten Bestimmung der Sperrschichttemperatur lassen sich Temperature Sensitive Electrical Parameters (TSEPs) ei...

The conventional approach of filter-based search of academic papers is often linear and user-intensive. Initially, it involves manually classifying the relevant academic papers stored in a repository into filter categories. Subsequently, based on the user’s selection, relevant academic papers are ...

In modern software development, particularly in the automotive industry, Highly Configurable Systems (HCS) are frequently utilized to create various software versions. These systems present their own set of challenges due to the multitude of configuration options available. A defining characteristic&#...

Teleoperation allows workers on a construction site to assemble pre-fabricated building components by controlling powerful machines from a safe distance. However, teleoperation's primary reliance on visual feedback limits the operator's efficiency in situations with stiff contact or poor visibility...

Applications of machine learning (ML) in industry and natural sciences yielded some of the most impactful innovations of the last decade (for instance, artificial intelligence, gene prediction or search engines) and changed the everyday-life of many people. From a methodological perspective, we&#...

Ensuring the safety and reliability of highly automated driving (Society of Automotive Engineers level standard (SAE) Level 3) functions is one of the most critical challenges in developing au tonomous driving technology. As these systems advance, they present complex validation challenges&...

Prediction of machine performance is a fundamental step for planning, cost estimation/control and selection of the machine type when using a tunnel boring machine (TBM). Penetration rate (PR) and machine utilization (U) are the two principal measures of TBM performance for evaluating&#x...

In classical AI, symbolic knowledge is typically represented as relational data within a graph-structured framework, a.k.a., relational knowledge bases (KBs). Relational KBs suffer from incompleteness and numerous efforts have been dedicated to KB completion. One prevalent approach involves mapping re...

Previous literature recommends using stylistic (or rhetorical) devices in presentations such as rhetorical questions (RQs: Does anyone want bad teeth? ) to make them more professional, to appear more charismatic, and to convince an audience. However, in oral presentations, it is not onl...

Several environmental phenomena require monitoring time-dependent densities in porous media, e.g., clogging of river sediments, mineral dissolution/precipitation, or variably-saturated multiphase flow. Gamma-ray attenuation (GRA) can monitor time-dependent densities without being destructive or invasive under laboratory&...

Shape Memory Polymers (SMPs) have the inherent ability to maintain a reversible temporary shape and restore a permanent shape under an external trigger. The class of materials has great potential to contribute to smart applications in soft robotics, aerospace, actuation and biomedicine. ...

A novel effective medium theory for homogenized transport coefficients of anisotropic mixtures of possibly anisotropic materials is developed. Existing theories for isotropic systems cannot be easily extended, because that would require geometric characterizations of anisotropic connectivity. In this work&...

Enzymatically induced calcium carbonate precipitation is a promising geotechnique with the potential, for example, to seal leakage pathways in the subsurface or to stabilize soils. Precipitation of calcium carbonate in a porous medium reduces the porosity and, consequently, the permeability. With...