output
20202026
most citedDigital Twins of Business Processes: A Research Manifesto

26 citations

19 papers

cs.NI2026

Enhancing IoT Network Reliability through Antenna Diversity in Real-World Scenarios

Marco Niederberger, Yanick Schoch, Michel A. Nyffenegger +2

Antenna diversity in Internet of Things (IoT) devices is explored to address challenges associated with fixed device orientation and interference from nearby metallic objects, whic…

eess.SY2026★ 1 cited

Influence of Controller Tuning on Cascaded Flexibility Provision with Feedback Optimization

Irina Zettl, Florian Klein-Helmkamp, Florian Schmidtke +2

The coordination of a large number of flexibility-providing units across various grid layers requires innovative control concepts. This is needed, e.g., to allow active distributio…

cs.CV2025

Caption-Driven Explainability: Probing CNNs for Bias via CLIP

Patrick Koller, Amil V. Dravid, Guido M. Schuster +1

Robustness has become one of the most critical problems in machine learning (ML). The science of interpreting ML models to understand their behavior and improve their robustness is…

cs.CR2025★ 10 cited

Securing RAG: A Risk Assessment and Mitigation Framework

Lukas Ammann, Sara Ott, Christoph R. Landolt +1

Retrieval Augmented Generation (RAG) has emerged as the de facto industry standard for user-facing NLP applications, offering the ability to integrate data without re-training or f…

math.OC2025

Reducing Simulation Effort for RIS Optimization using an Efficient Far-Field Approximation

Hans-Dieter Lang, Michel A. Nyffenegger, Heinz Mathis +1

Optimization of Reconfigurable Intelligent Surfaces (RIS) via a previously introduced method is effective, but time-consuming, because multiport impedance or scatter matrices are r…

cs.CY2024★ 26 cited

Digital Twins of Business Processes: A Research Manifesto

Fabrizio Fornari, Ivan Compagnucci, Massimo Callisto De Donato +20

Modern organizations necessitate continuous business processes improvement to maintain efficiency, adaptability, and competitiveness. In the last few years, the Internet of Things,…

math.OC2024

Validating Convex Optimization of Reconfigurable Intelligent Surfaces via Measurements

Hans-Dieter Lang, Michel A. Nyffenegger, Sven Keller +4

Reconfigurable Intelligent Surfaces (RISs) can be designed in various ways. A previously proposed semidefinite relaxation-based optimization method for maximizing power transfer ef…

cs.SE2024

Domain-Driven Design Representation of Monolith Candidate Decompositions Based on Entity Accesses

Miguel Levezinho, Stefan Kapferer, Olaf Zimmermann +1

Microservice architectures have gained popularity as one of the preferred architectural approaches to develop large-scale systems, replacing the monolith architecture approach. Sim…

eess.SP2024★ 25 cited

Robust Low-Cost Drone Detection and Classification in Low SNR Environments

Stefan Glüge, Matthias Nyfeler, Ahmad Aghaebrahimian +2

The proliferation of drones, or unmanned aerial vehicles (UAVs), has raised significant safety concerns due to their potential misuse in activities such as espionage, smuggling, an…

eess.SY2024

Tuning a Cascaded Online Feedback Optimization Controller for Provision of Distributed Flexibility

Irina Zettl, Florian Klein-Helmkamp, Florian Schmidtke +2

Coordinating a high number of flexibility providing units (e.g. to provide ancillary services for the transmission system) across various grid layers requires new control concepts.…

cond-mat.mtrl-sci2024★ 2 cited

Neutron phase filtering for separating phase- and attenuation signal in aluminium and anodic aluminium oxide

Estrid Buhl Naver, Okan Yetik, Noémie Ott +4

Neutron imaging has gained significant importance as a material characterisation technique and is particularly useful to visualise hydrogenous materials in objects opaque to other…

cs.SE2024★ 5 cited

How Do Microservice API Patterns Impact Understandability? A Controlled Experiment

Justus Bogner, Pawel Wójcik, Olaf Zimmermann

Microservices expose their functionality via remote Application Programming Interfaces (APIs), e.g., based on HTTP or asynchronous messaging technology. To solve recurring problems…

cs.AI2023★ 8 cited

Knowledge Engineering for Wind Energy

Yuriy Marykovskiy, Thomas Clark, Justin Day +8

With the rapid evolution of the wind energy sector, there is an ever-increasing need to create value from the vast amounts of data made available both from within the domain, as we…

eess.SY2023★ 1 cited

From droop to optimality: The potential of volt/var control for power distribution grid enhancement

Jonas G. Matt, Lukas Ortmann, Saverio Bolognani +1

When high amounts of active power are injected into power distribution grids, the overall power flow is limited because voltages reach their upper acceptable limits. Volt/var contr…

physics.flu-dyn2023★ 13 cited

Study of the wall pressure variations on the stall inception of a thick cambered profile at high Reynolds number

Caroline Braud, Bérengère Podvin, Julien Deparday

We present an experimental study of the aerodynamic forces on a thick and cambered airfoil at a high Reynolds number 3.6 x 10^6, which is of direct relevance for wind turbine desig…

eess.SY2022★ 2 cited

Subtransmission Grid Control via Online Feedback Optimization

Lukas Ortmann, Jean Maeght, Patrick Panciatici +2

The increasing electric power consumption and the shift towards renewable energy resources demand for new ways to operate transmission and subtransmission grids. Online Feedback Op…

cs.LG2022★ 5 cited

Chemoreception and chemotaxis of a three-sphere swimmer

Stevens Paz, Roberto F. Ausas, Juan P. Carbajal +1

The coupled problem of hydrodynamics and solute transport for the Najafi-Golestanian three-sphere swimmer is studied, with the Reynolds number set to zero and Péclet numbers (Pe) r…

cs.HC2021★ 2 cited

Anticipation Next -- System-sensitive technology development and integration in work contexts

Sarah Janboecke, Susanne Zajitschek

When discussing future concerns within socio-technical systems in work contexts, we often find descriptions of missed technology development and integration. The experience of tech…

cs.ET2020★ 13 cited

Learning by mistakes in memristor networks

Juan Pablo Carbajal, Daniel Alejandro Martin, Dante Renato Chialvo

Recent results in adaptive matter revived the interest in the implementation of novel devices able to perform brain-like operations. Here we introduce a training algorithm for a me…