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Business Model Innovation in Established SMEs: A Configurational Approach
(MDPI, 2020)
Small and medium-sized enterprises (SMEs) are at the heart of a nation’s wealth creation, employment generation and economic development. To help SMEs stay competitive in a fast-changing environment, researchers have ...
Berrikuntza prozesu baten mapa berria: eraldaketaren eredua: etorkizuneko irakasleen formazioan eragiten
(Mondragon Unibertsitatea. Humanitate eta Hezkuntza Zientzien Fakultatea, 2020-07)
MODDALS Methodology for Designing Layered Ontology Structures
(IOS Press, 2020)
Global ontologies include common vocabularies to provide interoperability among different applications. These ontologies require a balance of reusability-usability to minimise the ontology reuse effort in different ...
Links between circular economy and climate change mitigation in the built environment
(Elsevier, 2020)
The construction sector represents one of the most significant sources of waste generation in the European Union (EU), with nearly one billion tonnes of construction and demolition waste annually. This sector also contributes ...
An analytical model of through-thickness photopolymerisation of composites: Ultraviolet light transmission and curing kinetics
(Elsevier, 2020)
In this paper, a kinetic model able to predict the evolution of the through-thickness degree of cure of ultraviolet (UV) cured composites has been developed and validated. The kinetic model, which is based on the autocatalytic ...
Novel email spam detection method using sentiment analysis and personality recognition
(Oxford Academic, 2020)
Unsolicited email campaigns remain as one of the biggest threats affecting millions of users per day. During the past years several techniques to detect unsolicited emails have been developed. This work provides means to ...
Data-driven energy resource planning for Smart Cities
(IEEE, 2020)
Cities are growing and, therefore, the primary needs, such as the energy resources. Hence, managing them in the proper way becomes essential for a sustainable growth. This paper proposes a data-driven tool based on IoT ...
Optimización de parámetros de CNC de acuerdo a criterios de productividad usando un modelo de máquina basado en redes neuronalesOptimization of CNC parameters according to productivity criteria using a machine model based on neural networks
(Dyna Publishing, 2020)
Every machine-tool user wants to maximize the productivity of their machines looking for balance between speed, precision and lifetime of mechanical components. Nevertheless, because CNCs have wide-ranging use, their correct ...
A Methodology to Determine the Effect of a Novel Modulation in the Reliability of an Automotive DC-Link Capacitor
(IEEE, 2020)
Switched Reluctance Machines (SRM) are considered promising rare-earth free candidates for the next generation electrified vehicles. One of the main drawback of this technology is the need of a large DC-link capacitor to ...
A method to extract lumped thermal networks of capacitors for reliability oriented design
(Elsevier, 2020)
In this work we propose a procedure based on finite element simulations to compute a lumped-parameter thermal model of capacitors. The extracted Foster or Cauer network coupled to the electrical model can be useful to ...