output
20132026
most citedTwo-dimensional ternary locally resonant phononic crystals with a comblike coating

39 citations

25 papers

cs.NE2026

Mass Conservation as an Inductive Bias for Self-Organized Criticality in NCA Reservoirs

Tong Zhang, Etienne Guichard, Sidney Pontes-Filho +1

Self-organized criticality (SOC), a dynamical regime associated with maximal information processing, offers a promising foundation for reservoir computing. Recent work has shown th…

cs.SE2025

DarTwin made precise by SysMLv2 -- An Experiment

Øystein Haugen, Stefan Klikovits, Martin Arthur Andersen +4

The new SysMLv2 adds mechanisms for the built-in specification of domain-specific concepts and language extensions. This feature promises to facilitate the creation of Domain-Speci…

nlin.CG2025

Frequency-Histogram Coarse Graining in Elementary Cellular Automata and 2D CA

Sanyam Jain, Stefano Nichele

Cellular automata and other discrete dynamical systems have long been studied as models of emergent complexity. Recently, neural cellular automata have been proposed as models to i…

cs.SE2024★ 11 cited

Continuous Evolution of Digital Twins using the DarTwin Notation

Joost Mertens, Stefan Klikovits, Francis Bordeleau +2

Despite best efforts, various challenges remain in the creation and maintenance processes of digital twins (DTs). One of those primary challenges is the constant, continuous and om…

cs.SE2024★ 1 cited

Characterizing Role Models in Software Practitioners' Career: An Interview Study

Mary Sánchez-Gordón, Ricardo Colomo-Palacios, Alex Sanchez Gordon

A role model is a person who serves as an example for others to follow, especially in terms of values, behavior, achievements, and personal characteristics. In this paper, authors…

cs.NE2023★ 5 cited

Optimization of a Hydrodynamic Computational Reservoir through Evolution

Alessandro Pierro, Kristine Heiney, Shamit Shrivastava +2

As demand for computational resources reaches unprecedented levels, research is expanding into the use of complex material substrates for computing. In this study, we interface wit…

nlin.CG2022★ 6 cited

Assessing the robustness of critical behavior in stochastic cellular automata

Sidney Pontes-Filho, Pedro Lind, Stefano Nichele

There is evidence that biological systems, such as the brain, work at a critical regime robust to noise, and are therefore able to remain in it under perturbations. In this work, w…

math.CT2022

Hochschild Cohomology, Monoid Objects and Monoidal Categories

Magnus Hellstrøm-Finnsen

This paper expands further on a category theoretical formulation of Hochschild cohomology for monoid objects in monoidal categories enriched over abelian groups, which has been stu…

cs.CV2021

LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning

Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya +2

Deep metric learning has been effectively used to learn distance metrics for different visual tasks like image retrieval, clustering, etc. In order to aid the training process, exi…

cs.LG2020★ 7 cited

Towards the Automation of a Chemical Sulphonation Process with Machine Learning

Enrique Garcia-Ceja, Åsmund Hugo, Brice Morin +4

Nowadays, the continuous improvement and automation of industrial processes has become a key factor in many fields, and in the chemical industry, it is no exception. This translate…

cs.SE2020★ 18 cited

DevOps in an ISO 13485 Regulated Environment: A Multivocal Literature Review

Martin Forsberg Lie, Mary Sánchez-Gordón, Ricardo Colomo-Palacios

Background: Medical device development projects must follow proper directives and regulations to be able to market and sell the end-product in their respective territories. The reg…

cs.RO2020★ 22 cited

Privacy at Home: an Inquiry into Sensors and Robots for the Stay at Home Elderly

Trenton Schulz, Jo Herstad, Harald Holone

The elderly in the future will use smart house technology, sensors, and robots to stay at home longer. Privacy at home for these elderly is important. In this exploratory paper, we…

gr-qc2019★ 10 cited

Extended FLRW Models: dynamical cancellation of cosmological anisotropies

Mikjel Thorsrud, Ben D. Normann, Thiago S. Pereira

We investigate a corner of the Bianchi models that has not received much attention: "extended FLRW models" (eFLRW) defined as a cosmological model with underlying anisotropic Bianc…

cs.CY2018★ 2 cited

A Big-Data based and process-oriented decision support system for traffic management

Alejandro Vera-Baquero, Ricardo Colomo-Palacios

Data analysis and monitoring of road networks in terms of reliability and performance are valuable but hard to achieve, especially when the analytical information has to be availab…

gr-qc2017★ 13 cited

Bianchi cosmologies with -form gauge fields

Ben David Normann, Sigbjørn Hervik, Angelo Ricciardone +1

In this paper the dynamics of free gauge fields in Bianchi type I-VII space-times is investigated. The general equations for a matter sector consisting of a -form field st…

gr-qc2017★ 9 cited

Balancing Anisotropic Curvature with Gauge Fields in a Class of Shear-Free Cosmological Models

Mikjel Thorsrud

We present a complete list of general relativistic shear-free solutions in a class of anisotropic, spatially homogeneous and orthogonal cosmological models containing a collection…

cs.NI2017★ 1 cited

Nviz - A General Purpse Visualization tool for Wireless Sensor Networks

Anh-Vu Dinh-Duc, The-Hien Dang-Ha, Ngoc-An Lam

In a Wireless Sensor Network (WSN), data manipulation and representation is a crucial part and can take a lot of time to be developed from scratch. Although various visualization t…

cs.CY2017★ 1 cited

Paperstack - A Novel Lean-Interactive System for Documentation Sharing in Maritime Industries

Steinar Kristoffersen, The-Hien Dang-Ha, Thien-Phuc Nguyen

This paper defines a new domain for collaborative systems and technologies research: inter-organizational lean-interactive systems engineering. It departs from the problems pertain…

cs.SE2017★ 2 cited

Graph of Virtual Actors (GOVA): a Big Data Analytics Architecture for IoT

The-Hien Dang-Ha, Davide Roverso, Roland Olsson

With the emergence of cloud computing and sensor technologies, Big Data analytics for the Internet of Things (IoT) has become the main force behind many innovative solutions for ou…

stat.AP2017★ 4 cited

Clustering Methods for Electricity Consumers: An Empirical Study in Hvaler-Norway

The-Hien Dang-Ha, Roland Olsson, Hao Wang

The development of Smart Grid in Norway in specific and Europe/US in general will shortly lead to the availability of massive amount of fine-grained spatio-temporal consumption dat…

cs.CY2017★ 15 cited

The Role of Big Data on Smart Grid Transition

The-Hien Dang-Ha, Roland Olsson, Hao Wang

Despite being popularly referred to as the ultimate solution for all problems of our current electric power system, smart grid is still a growing and unstable concept. It is usuall…

cs.CY2017

Introducing big data topics: a multicourse experience report from Norway

Beathe Due, Monica Kristiansen, Ricardo Colomo-Palacios +1

In the last few years, we have witnessed an explosion of interest in Big Data in both academic and industry arenas. Big Data is about the capture, storage, analysis and visualizati…

math.OC2017★ 6 cited

Local Short Term Electricity Load Forecasting: Automatic Approaches

The-Hien Dang-Ha, Filippo Maria Bianchi, Roland Olsson

Short-Term Load Forecasting (STLF) is a fundamental component in the efficient management of power systems, which has been studied intensively over the past 50 years. The emerging…

astro-ph.CO2016★ 17 cited

General quadrupolar statistical anisotropy: Planck limits

S. Ramazanov, G. Rubtsov, M. Thorsrud +1

Several early Universe scenarios predict a direction-dependent spectrum of primordial curvature perturbations. This translates into the violation of the statistical isotropy of cos…