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181

Optimizing the switching operation in monoclonal antibody production: Economic MPC and reinforcement learning
Obiri, Sandra A. ; Bo, Song ; Agyeman, Bernard T. ; et al.

Computer Science - Machi... Electrical Engineering a... Quantitative Biology - Q...
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182

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183

Hybrid Advanced Control of Flexible Multipurpose Continuous Tablet Manufacturing Process Via Direct Compaction
Ravendra, Singh ; Marianthi, Ierapetritou ; Rohit, Ramachandran
23rd European Symposium on Computer Aided Process Engineering. 2013, p757-762.

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184

Artificial intelligence perspectives: A systematic literature review on modeling, control, and optimization of fluid catalytic cracking
Mustapha K. Khaldi ; Mujahed Al-Dhaifallah ; Othman Taha
Alexandria Engineering Journal, Vol 80, Iss , Pp 294-314 (2023)

Fluid Catalytic Cracking Modeling Optimization Control Systematic literature re... Engineering (General). C... …
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185

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186

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187

Advanced Sensors, Quality Attributes, and Modeling in Food Process Control
McCarthy, Michael J ; McCarthy, Kathryn L
Advances in Food Process Engineering Research and Applications. 2013, p499-517.

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188

Experimental Study and Defect Control in Picosecond Laser Trepanning Drilling of Superalloy
Liang Wang ; Yefei Rong ; Long Xu ; et al.
Metals, Vol 15, Iss 8, p 893 (2025)

picosecond laser trepanning drilling superalloy single-factor experiment... defect control Mining engineering. Meta... …
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189

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190

An advanced treatment process for 3-high wastewater discharged from crude oil storage tanks
Li, Xue-Wen ; Cui, Zhong-Yi ; Zhao, Bao-Fu ; et al.
Environmental Science and Pollution Research. 30(42):95875-95891

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191

Measuring Engagement as Students Learn Dynamic Systems and Control with a Video Game
Coller, B. D. ; Shernoff, David J. ; Strati, Anna
32

Engineering Education Learner Engagement Video Games Quasiexperimental Design Undergraduate Students Concept Formation …
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192

Special Section on Advanced Process Control.
Moyne, James R. ; Patel, Nital S.
IEEE Transactions on Semiconductor Manufacturing. Nov2007, Vol. 20 Issue 4, p343-344. 2p. 2 Black and White Photographs.

PROCESS control systems AUTOMATIC control system... SEMICONDUCTOR industry CONTROL theory (Engineer... QUALITY control
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193

Balancing weld performance and energy efficiency in resistance spot welding of 22MnB5 galvannealed steel.
Ribeiro, Robson Raimundo Cardoso ; de Souza, Luiz Gustavo Paes ; Gomes, José Vitor ; et al.
International Journal of Advanced Manufacturing Technology; Dec2025, Vol. 141 Issue 7/8, p4267-4289, 23p

ENERGY consumption CARBON emissions TENSILE strength SUSTAINABLE development PROCESS optimization STEEL welding …
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194

Optimal Automatic Control of Multistage Production Processes.
Fenner, Joel S. ; Myong K. Jeong ; Jye-chyi Lu
IEEE Transactions on Semiconductor Manufacturing. Feb2005, Vol. 18 Issue 1, p94-103. 10p.

HIGH technology industri... MANUFACTURING processes SEMICONDUCTOR industry SYSTEMS engineering MATERIALS ENGINEERING instruments
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195

Enhancing process monitoring and control in novel carbon capture and utilization biotechnology through artificial intelligence modeling: An advanced approach toward sustainable and carbon-neutral wastewater treatment.
Cairone S ; Oliva G ; Romano F ; et al.
Publisher: Elsevier Science Ltd Country of Publication: England NLM ID: 0320657 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1298 (Electronic) Linking ISSN: 00456535 NLM ISO Abbreviation: Chemosphere Subsets: MEDLINE

Neural Networks, Compute... Photobioreactors Carbon Dioxide analysis Greenhouse Gases analysi... Artificial Intelligence Wastewater chemistry …
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196

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197

Artificial neural network-assisted modeling of electroosmotic heat transfer in radiative ternary hybrid nanofluid with gyrotactic microorganisms.
Yousuf Ali, Md. ; Rana, B. M. Jewel ; Islam, Torikul ; et al.
Journal of Thermal Analysis & Calorimetry; Dec2025, Vol. 150 Issue 26, p21913-21942, 30p

ARTIFICIAL neural networ... HEAT transfer HEAT radiation & absorpt... MICROORGANISMS NANOFLUIDS BIOLOGICAL fluid dynamic... …
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198

Advanced composting simulation technologies: A systematic review of methodological frameworks and applications.
Li MX ; Wang N ; Xie YY ; et al.
Publisher: Academic Press Country of Publication: England NLM ID: 0401664 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-8630 (Electronic) Linking ISSN: 03014797 NLM ISO Abbreviation: J Environ Manage Subsets: MEDLINE

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199

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200

Data-driven nonlinear modeling for superheating degree in organic Rankine cycle systems
Hernandez Naranjo, Jairo Andres ; Ruiz, Fredy ; Lemort, Vincent
In proceedings of the 8th International Seminar on ORC Power Systems, 10 (2025-09-11); 8th International Seminar on ORC Power Systems, Lappeenranta, Finland [FI], 9 - 11 september

Organic Rankine Cycle Nonlinear modeling Neural Networks Reinforcement Learning Superheating Degree Engineering, computing &... …
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