Results 31 to 40 of about 10,217 (217)
Cognitive Behaviors Modeling Using UML Profile: Design and Experience
IEEE Access, 2017 To achieve model reuse in combat effectiveness simulation systems development, cognitive decision behaviors are usually implemented using a scripting language, which is separate from the programming language used to implement simulation models. Therefore,
Zhi Zhu +3 more
doaj +1 more source
Applied Sciences, 2020 Recently, a large amount of research on deep learning has been conducted. Related studies have also begun to apply deep learning techniques to the field of electric machines, but such studies have been limited to the field of fault diagnosis.
Yong-min You
doaj +1 more source
Deep Learning Exploration of Agent-Based Social Network Model Parameters
Frontiers in Big Data, 2021 Interactions between humans give rise to complex social networks that are characterized by heterogeneous degree distribution, weight-topology relation, overlapping community structure, and dynamics of links.
Yohsuke Murase +8 more
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Education Sciences, 2018 Past research has identified elements underlying modeling as a core science and engineering practice, as well as dimensions along which students’ learn how to use models and how they perceive the nature of modeling.
Tom Bielik +2 more
doaj +1 more source
, 1999 Diffuse liver disease is a growing problem and a major cause of death worldwide. In the final stages the treatment often involves liver resection or transplant and in deciding what course of action is to be taken it is crucial to have a correct ...
Gollvik, Martin
core +1 more source
AIChE Journal, EarlyView.Abstract In pharmaceutical industries, continuous manufacturing methods have already been well established to improve productivity and process intensification. However, to better understand the trade‐offs of continuous crystallizers over the existing batch production systems, a robust technoeconomic cost and sustainability analysis is necessary to ...
Jungsoo Rhim, Zoltan K. Nagy
wiley +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced Intelligent Discovery, EarlyView.This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Performance study of multi-fidelity gradient enhanced kriging [PDF]
, 2014 Multi-fidelity surrogate modelling offers an efficient way to approximate computationally expensive simulations. In particular, Kriging-based surrogate models are popular for approximating deterministic data.
Couckuyt, Ivo +4 more
core +2 more sources
International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT Digitalization and emerging technologies are increasing the demand for wireless sensing and the Internet of Things (IoT), which provide opportunities for autonomous sources of electricity in the form of energy harvesting systems. This paper focuses on the challenges in hybrid piezoelectric‐electromagnetic kinetic energy harvesting systems that
Petr Sosna, Damian Gaska, Zdeněk Hadaš
wiley +1 more source
Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance
Naval Research Logistics (NRL), EarlyView.ABSTRACT The rapid expansion of cross‐border e‐commerce (CBEC) has created significant opportunities for small‐ and medium‐sized sellers, yet financing remains a critical challenge due to their limited credit histories. Third‐party logistics (3PL)‐led supply chain finance (SCF) has emerged as a promising solution, leveraging in‐transit inventory as ...
Qingkai Zhang, L. Jeff Hong, Houmin Yan
wiley +1 more source