Exergetic comparison of a novel to a conventional small-scale power-to-ammonia cycle
P Koschwitz, D Bellotti, C Liang… - International Journal of …, 2023 - inderscienceonline.com
Green ammonia is a promising carbon-free energy vector and means to store hydrogen
efficiently. Employing the software Aspen Plus®, this work presents an exergetic comparison …
efficiently. Employing the software Aspen Plus®, this work presents an exergetic comparison …
Exergy analysis of vacuum distillation unit
S Kurban, GK Kaya, S Yaman - Computer Aided Chemical Engineering, 2021 - Elsevier
Energy efficiency studies have an important role in the petroleum industry in terms of
environmental impacts and cost. In this context, distillation units are important process units …
environmental impacts and cost. In this context, distillation units are important process units …
Developing robust nonlinear models through bootstrap aggregated deep belief networks
C Zhu, J Zhang - 2019 25th International Conference on …, 2019 - ieeexplore.ieee.org
The development of data-driven process models based on bootstrap aggregated deep belief
networks (BAGDBN) is presented in this paper. In developing a BAGDBN model, the original …
networks (BAGDBN) is presented in this paper. In developing a BAGDBN model, the original …
Nonlinear Process Modelling and Optimization Control Using Computational Intelligence Techniques
C Zhu - 2023 - theses.ncl.ac.uk
With the ever-increasing global competition and customer requirement, chemical industrial
processes face increasing pressure of maintaining high product quality and reducing …
processes face increasing pressure of maintaining high product quality and reducing …
Statistics in Education: Contributions to Teaching and Data Analysis
N Totty - 2023 - ir.library.oregonstate.edu
In this dissertation we present a compilation of the research conducted during the author's
doctoral program. In the first part, we discuss a case study regarding the impact of scholar …
doctoral program. In the first part, we discuss a case study regarding the impact of scholar …
The Importance of Discussing Assumptions when Teaching Bootstrapping
N Totty, J Molyneux, C Fuentes - arXiv preprint arXiv:2112.07737, 2021 - arxiv.org
Bootstrapping and other resampling methods are progressively appearing in the textbooks
and curricula of courses that introduce undergraduate students to statistical methods …
and curricula of courses that introduce undergraduate students to statistical methods …
[PDF][PDF] Optimization of a double-column distillation process using data-driven approaches
Z Bukhsh-TU, IG Garcia-TU, L Bliek-TU, MWP BV - research.tue.nl
This thesis presents my graduation research project for the master Operations Management
and Logistics (OML), conducted at Pipple BV. Moreover, it marks the end of my time as a …
and Logistics (OML), conducted at Pipple BV. Moreover, it marks the end of my time as a …
Güneş enerjili bir kurutucudaki ekserjetik faktörlerin hesaplanması ve yapay sinir ağı ile modellenmesi
M Daş, EK Akpınar - Dicle Üniversitesi Mühendislik Fakültesi …, 2020 - dergipark.org.tr
Termodinamik analiz, özellikle ekserji analizi, termal sistemlerin analizi için önemli bir
araçtır. Kurutma sistemlerinde ekserji hesaplamaları için birçok formülasyon ve veri …
araçtır. Kurutma sistemlerinde ekserji hesaplamaları için birçok formülasyon ve veri …
[PDF][PDF] Developed nonlinear model based on bootstrap aggregated neural networks for predicting global hourly scale horizontal irradiance
This research study examines the use of two models of artificial intelligence based on a
single neural network (SNN) and bootstrap aggregated neural networks (BANN) for the …
single neural network (SNN) and bootstrap aggregated neural networks (BANN) for the …
International Journal of Energetica Journal/International Journal of Energetica/Vol. 8 No. 1 (2023)/Articles Open Access
This research study examines the use of two models of artificial intelligence based on a
single neural network (SNN) and bootstrap aggregated neural networks (BANN) for the …
single neural network (SNN) and bootstrap aggregated neural networks (BANN) for the …