Results 11 to 20 of about 110,051 (268)
Crystals, 2016 The moments of the electronic density-of-states provide a robust and transparent means for the characterization of crystal structures. Using d-valent canonical tight-binding, we compute the moments of the crystal structures of topologically close-packed (
Thomas Hammerschmidt +3 more
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Pharmaceutics, 2022 The present work focuses on the computational study of the structural micro-organization of hydrogels based on collagen-like peptides (CLPs) in complex with Rose Bengal (RB).
Roberto Rosales-Rojas +5 more
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Sensors, 2019 Wireless sensor networks have attracted great attention for applications in structural health monitoring due to their ease of use, flexibility of deployment, and cost-effectiveness.
Guido Morgenthal +3 more
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Hidden and Latent Factors’ Influence on Digital Technology Sustainability Development
Mathematics, 2021 The modern world can be described as a sociotechnical system, the existence and development of which are determined by the successful interaction of technology and society.
Egils Ginters +1 more
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Simulation modelling for immunologists [PDF]
Nature Reviews Immunology, 2019 The immune system is inordinately complex with many interacting components determining overall outcomes. Mathematical and computational modelling provides a useful way in which the various contributions of different immunological components can be probed in an integrated manner.
Andreas Handel +2 more
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Unsupervised Learning of Particles Dispersion
Mathematics, 2023 This paper discusses using unsupervised learning in classifying particle-like dispersion. The problem is relevant to various applications, including virus transmission and atmospheric pollution.
Nicholas Christakis, Dimitris Drikakis
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Rethinking the integration of ICT in education: Towards a communication model to promote sustainable development [PDF]
E3S Web of ConferencesThe aim of this study is to reflect on how to integrate ICT (Information and Communication Technologies) into education, adopting an approach that promotes sustainable development through interaction and communication between educational players.
Machkour Mounia +4 more
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Reducing Uncertainty and Increasing Confidence in Unsupervised Learning
Mathematics, 2023 This paper presents the development of a novel algorithm for unsupervised learning called RUN-ICON (Reduce UNcertainty and Increase CONfidence).
Nicholas Christakis, Dimitris Drikakis
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Process modeling for simulation
Computers in Industry, 2006 This paper discusses shortfalls in relation to the requirements gathering phases of simulation. While many developments have taken place around supporting the model coding task of simulation, there are few tools available to assist in the requirements gathering phase.
Ryan, John, Heavey, Cathal
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Predicting stress intensity factor in pressurized cracked tubes using neural networks [PDF]
E3S Web of ConferencesArtificial intelligence is fundamentally reshaping how we approach complex engineering challenges, offering solutions that are both swift and remarkably accurate. In this paper, we detail the development of a predictive model, built upon neural networks,
El Kiri Yassine +4 more
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