Search Results - "Forster, Tim"

Algebraic surrogate‐based process optimization using Bayesian symbolic learning.

Authors: Forster, Tim Vázquez, Daniel Guillén‐Gosálbez, Gonzalo

Source: AIChE Journal; Aug2023, Vol. 69 Issue 8, p1-20, 20p

Contesting class, gender and national identity: The visual art practice of Test Dept.

Authors: Forster, Tim¹ timf2@hotmail.co.uk

Source: Punk & Post Punk. Jun2022, Vol. 11 Issue 2, p229-250. 22p.

Machine learning uncovers analytical kinetic models of bioprocesses.

Authors: Forster, Tim Vázquez, Daniel Müller, Claudio et al.

Source: Chemical Engineering Science. Dec2024, Vol. 300, pN.PAG-N.PAG. 1p.

Subjects: Machine learning

Experimental Filmmaking and Punk: Feminist Audio Visual Culture in the 1970s and 1980s, Rachel Garfield (2022).

Authors: Forster, Tim¹ timf2@hotmail.co.uk

Source: Punk & Post Punk. Mar2022, Vol. 11 Issue 1, p129-131. 3p.

Algebraic surrogate-based flexibility analysis of process units with complicating process constraints.

Authors: Forster, Tim Vázquez, Daniel Moreno-Palancas, Isabela Fons et al.

Source: Computers & Chemical Engineering. May2024, Vol. 184, pN.PAG-N.PAG. 1p.

Subjects: Chemical engineering, Chemical engineers, Prediction models

Data-Driven and Hybrid Modeling and Optimization of Chemical and Biological Processes

Authors: Forster, Tim; id_orcid 0000-0001-8939-9588

Committee Members: Supervisor; Guillén Gosálbez, Gonzalo; id_orcid 0000-0001-6074-8473; Supervisor; Del Rio-Chanona, Ehecatl Antonio; Supervisor; Arosio, Paolo

URL: http://dx.doi.org/10.3929/ethz-b-000701976

Modeling of bioprocesses via MINLP-based symbolic regression of S-system formalisms.

Authors: Forster, Tim Vázquez, Daniel Cruz-Bournazou, Mariano Nicolas et al.

Source: Computers & Chemical Engineering. Feb2023, Vol. 170, pN.PAG-N.PAG. 1p.

Subjects: Artificial neural networks, Ordinary differential equations, Nonlinear programming, Product quality, Petri nets

Low Volume Water Desalination in the Gaza Strip - Al Salam Small Scale RO Water Desalination Plant Case Study.

Authors: Shatat, Mahmoud Arakelyan, Karen Shatat, Omar et al.

Source: Future Cities & Environment. 5/23/2018, Vol. 4, p1-8. 8p.