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41

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42

Advanced Process Control for Cost-Effective Glycol Loss Minimization in a Natural Gas Dehydration Plant under Upset Conditions
Haque, Md Emdadul ; Palanki, Srinivas ; Xu, Qiang
Industrial & Engineering Chemistry Research. 59(16):7680-7692

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43

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44

Optimizing Manufacturing Processes through Advanced Process Engineering Techniques: A Case Study of Energy Efficiency, Waste Reduction, and Environmental Sustainability: Review.
OKHIAI, M. O. ; OHIMOR, E. O.
FUPRE Journal of Scientific & Industrial Research; 2024, Vol. 8 Issue 4, p239-251, 13p

MANUFACTURING processes ENERGY consumption PRODUCT quality WASTE minimization COST control
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45

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46

An alternate computational architecture for advanced process engineering
ISHII, Yoshikazu ; OTTO, Fred D
Computers & chemical engineering. 35(4):575-594

Chemical engineering Génie chimique Computer science Informatique Sciences exactes et tech... Exact sciences and techn... …
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47

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48

Advanced Motor Control for Improving the Trajectory Tracking Accuracy of a Low-Cost Mobile Robot
Luis Mérida-Calvo ; Andrés San-Millán Rodríguez ; Francisco Ramos ; et al.
Machines, Vol 11, Iss 1, p 14 (2022)

mobile robots advanced process control DC motor friction non-linear system antiwindup Smith predictor …
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49

Advanced process control applied to distributed control systems
Hu, Hongpu ; Xu, Yanli ; Liang, Wannian ; et al.
Kybernetes, 2010, Vol. 39, Issue 6, pp. 946-953.

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50

Artificial intelligence in process safety and risk management
Ziani, Imane ; Hassall, Maureen ; Maduabuchi, Emeka ; et al.
Artificial Intelligence in Chemical Engineering, 383-414 (2026)

AI in process safety digital twin technology real-time monitoring risk analysis in toxicol... process engineering Life sciences …
Buch
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51

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52

Constructing Fault Trees for Advanced Process Control Systems--Application to Cascade Control Loops.
Shi-Ning Ju, Jun ; Cheng-Liang Chen ; Chuei-Tin Chang, Jun
IEEE Transactions on Reliability. Mar2004, Vol. 53 Issue 1, p43-60. 18p.

FAULT tolerance (Enginee... PROCESS control systems RELIABILITY in engineeri... AUTOMATIC control system... INFORMATION theory SYSTEMS design
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53

Generative AI-Driven Data Augmentation for Robust Virtual Metrology: GANs, VAEs, and Diffusion Models.
Lin, Chin-Yi ; Tseng, Tzu-Liang ; Emon, Solayman Hossain ; et al.
IEEE Transactions on Semiconductor Manufacturing. Aug2025, Vol. 38 Issue 3, p642-658. 17p.

SEMICONDUCTOR manufactur... QUALITY control DATA augmentation PROBABILISTIC generative... METROLOGY STABLE Diffusion …
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54

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55

Observability and Identifiability Analyses of Process Models for Agricultural Anaerobic Digestion Plants
Hellmann, Simon ; Hempel, Arne-Jens ; Streif, Stefan ; et al.

Electrical Engineering a...
Report
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56

State Space Model Predictive Control for Advanced Process Operation: A Review of Recent Development, New Results, and Insight
Zhang, Ridong ; Wu, Sheng ; Gao, Furong
Industrial & Engineering Chemistry Research. 56(18):5360-5394

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57

Advances and challenges of anammox-based PN/A and PD/A coupled processes in treating diverse wastewater qualities: A review
Guo, Hengbo ; Lu, Yang ; Bulok, Yaman ; et al.
In Journal of Environmental Management November 2025 394

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58

Application of System Safety Engineering Processes to Advanced Battery Safety
Ressler, Galen
SAE International Journal of Engines, 2011 Jan 01. 4(1), 1921-1927.

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59

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60

In-Situ Monitoring and Process Control in Material Extrusion Additive Manufacturing: A Comprehensive Review
Alexander Isiani ; Kelly Crittenden ; Leland Weiss ; et al.
Journal of Experimental and Theoretical Analyses, Vol 3, Iss 3, p 21 (2025)

material extrusion additive manufacturing in situ monitoring 3D printing process monitoring sensors …
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