Opening book details…
Can I read Complementarities of part-time and full-time postgraduates in process systems engineering (PSE): when industry and academia merges on EtoBox?
Complementarities of part-time and full-time postgraduates in process systems engineering (PSE): when industry and academia merges by Brenno C. Menezes; Robert E. Franzoi; Mohammed Yaqot; Mohamed E.H. Sawaly; Adnan A.M..A. Al-Banna; Salman Ashkanani; Jeffrey D. Kelly is a engineering available to read on EtoBox.
What is Complementarities of part-time and full-time postgraduates in process systems engineering (PSE): when industry and academia merges about?
The 31st European Symposium on Computer Aided Process Engineering: ESCAPE-31, Volume 50 contains the papers presented at the 31st European Symposium of Computer Aided Process Engineering (ESCAPE) event held in Istanbul, Turkey. It is a valuable resource for chemical engineers, chemical process engineers, researchers in industry and academia, students and consultants in the chemical industries. - Presents findings and discussions from the 31st European Symposium of Computer Aided Process Engineer
Who reads Complementarities of part-time and full-time postgraduates in process systems engineering (PSE): when industry and academia merges?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Brenno C. Menezes; Robert E. Franzoi; Mohammed Yaqot; Mohamed E.H. Sawaly; Adnan A.M..A. Al-Banna; Salman Ashkanani; Jeffrey D. Kelly
- Publisher
- Elsevier - Health Sciences Division
- Published
- 2021
- Language
- EN
- ISBN
- 9780323885133
- Category
- engineering
- Subjects
- Engineering, Science, Chemistry
- Updated
- 2026-03-25
More by Brenno C. Menezes; Robert E. Franzoi; Mohammed Yaqot; Mohamed E.H. Sawaly; Adnan A.M..A. Al-Banna; Salman Ashkanani; Jeffrey D. Kelly
Similar books
- Process Systems Engineering Prospects in Circular Economy Implementation in Industry — Konstantina G. Stylianopoulou; Emilia M. Kondili; John K. Kaldellis (2022)
- The Impact of Reward Shaping in Reinforcement Learning for Agent-based Microgrid Control — Valentin Père; Fabien Baillon; Mathieu Milhe; Jean-Louis Dirion (2022)
- Reinforcement Learning for Inventory Management in Multi-echelon Supply Chains — Guoquan Wu; Miguel Ángel de Carvalho Servia; Max Mowbray (2023)
- Process Modelling of Direct Air Capture (DAC) of CO2 Using Solid Amine Sorbents — So-mang Kim; Grégoire Léonard (2022)
- Determination of the Burst Pressure of Pillow Plates Using Finite Element Methods — Alexander Zibart; Bernhard Spang; E.Y. Kenig (2022)
- Data-driven Modeling to Predict the Rate of Boil-off Gas (BOG) Generation in an Industrial LNG Storage Tank — Suraj Prakash Singh; Rajagopalan Srinivasan; I.A. Karimi (2023)