SeamCAD: Object-Oriented Modeling Tool for Hierarchical Systems in Enterprise Architecture

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Metal Forming is a basic and essential industrial process to provide materials for constructing complex products. To design an efficient metal forming process, the functional requirements and operational performance are two important aspects to be consider ...

Modern power distribution systems are experiencing a large-scale integration of Converter-Interfaced Distributed Energy Resources (CIDERs). Their presence complicates the analysis and mitigation of harmonics, whose creation and propagation may be amplified ...

Machine learning (ML) models for molecules and materials commonly rely on a decomposition of the global target quantity into local, atom-centered contributions. This approach is convenient from a computational perspective, enabling large-scale ML-driven si ...

Censuses are structured documents of great value for social and demographic history, which became widespread from the nineteenth century on. However, the plurality of formats and the natural variability of historical data make their extraction arduous and ...

The recent developments of deep learning cover a wide variety of tasks such as image classification, text translation, playing go, and folding proteins. All these successful methods depend on a gradient-based learning algorithm to train a model on massive ...

Natural language processing and other artificial intelligence fields have witnessed impressive progress over the past decade. Although some of this progress is due to algorithmic advances in deep learning, the majority has arguably been enabled by scaling ...

This site provides two software tools related to "RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis" by Barquero et al. NeuroImage: Clinical (2020). People using in part or f ...

With the continuous improvement of system scale and complexity, model-based system engineering (MBSE) is of great importance in the practice of system engineering (SE). MBSE has been widely concerned in industry, especially in the field of complex equipmen ...

Code generation is an effective way to drive the complex system development in model-based systems engineering. Currently, different code generators are developed for different modeling languages to deal with the development of systems with multi-domain. T ...

During the design phase of an aircraft manufacturing system, different industrial scenarios need to be evaluated according to key performance indicators to achieve the optimal system performance. It is a highly complex process involving multidisciplinary s ...

The development of an aircraft industrial system is a complex process which faces the challenge of digital discontinuity in multidisciplinary engineering due to various interfaces between different digital tools, leading to extra development time and costs ...

Modeling in neuroscience occurs at the intersection of different points of view and approaches. Typically, hypothesis-driven modeling brings a question into focus so that a model is constructed to investigate a specific hypothesis about how the system work ...

The objective of this thesis is the development of high-field and high-current joints between Nb3Sn cables for superconducting coils. The main fields of application are high energy physics (HEP) and thermonuclear fusion. In this thesis, the focus is on Win ...

This article explains how the Replica project is a particular case of different professionals coming together to achieve the digitization of a historical photographic archive, intersecting complementary knowledge specific to normally unconnected communitie ...

Model-based systems engineering (MBSE) provides an important capability for managing the complexities of system development. MBSE empowers the formalism of system architectures for supporting model-based requirement elicitation, specification, design, deve ...

Model-checking intends to verify whether a property is satisfied by a model, or not. Model-checking of high-level models, e.g. SysML models, usually first requires a model transformation to a low level formal specification. The present papers proposes a ne ...

Neuroscience incorporates knowledge from a range of scales, from single molecules to brain wide neural networks. Modeling is a valuable tool in understanding processes at a single scale or the interactions between two adjacent scales and researchers use a ...

Cyber-physical systems (CPSs) integrate heterogeneous systems and process sensor data using digital services. As the complexity of CPS increases, it becomes more challenging to efficiently formalize the integrated multidomain views with flexible automated ...

Machine intelligence greatly impacts almost all domains of our societies. It is profoundly changing the field of mechanical engineering with new technical possibilities and processes. The education of future engineers also needs to adapt in terms of techni ...

The article links two seemingly different fundamental theoretical concepts of autopoiesis and homeostasis and tries to apply them to the realm of socio-technical systems with the use of the Fractal Enterprise Model (FEM). Autopoiesis is the property of a s ...

SeamCAD: Object-Oriented Modeling Tool for Hierarchical Systems in Enterprise Architecture

Chattez avec Graph Search

A semantic model-based systems engineering approach for assessing the operational performance of metal forming process

Unified Harmonic Power-Flow and Stability Analysis of Power Grids with Converter-Interfaced Distributed Energy Resources

Robustness of Local Predictions in Atomistic Machine Learning Models

An end-to-end pipeline for historical censuses processing

Transformer Models for Vision

Text Representation Learning for Low Cost Natural Language Understanding

Streamline RimNet: Tools for Automatic Classification of Paramagnetic Rim Lesions in MRI of Multiple Sclerosis

Model-based Systems Engineering Papers Analysis based on Word Cloud Visualization

Code Generation Approach Supporting Complex System Modeling based on Graph Pattern Matching

A semantic-driven tradespace framework to accelerate aircraft manufacturing system design

Ontology-based system to support industrial system design for aircraft assembly

Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows

Intergrade Joints for Nb3Sn cables of high magnetic field magnets

The Replica Project: Co-Designing a Discovery Engine for Digital Art History

Design Ontology Supporting Model-Based Systems Engineering Formalisms

Direct Model-checking of SysML Models

A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience

Model-Based Systems Engineering Tool-Chain for Automated Parameter Value Selection

Automated Design: A Journey Across Modelling, Optimization, and Education

Using Enterprise Models to Explain and Discuss Autopoiesis and Homeostasis in Socio-technical Systems