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Muhammad Shahzad

Jiangsu University · CN
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Area of research
Control and Systems Engineering · Anesthesiology and Pain Medicine
Research interest
Research focused on Soft sensor and Robustness (evolution), with related work in Support vector machine, Model predictive control, Mean squared error. Notable publications include 'Modern Soft-Sensing Modeling Methods for Fermentation Processes', 'A Non-linear Model Predictive Control Based on Grey-Wolf Optimization Using Least-Square Support Vector Machine for Product Concentration Control in l-Lysine Fermentation', and 'Data-Driven Soft Sensor Model Based on Deep Learning for Quality Prediction of Industrial Processes'.
h-index
citations
161
works
3
NIH funding
primary concept
email

Recent publications

Data-Driven Soft Sensor Model Based on Deep Learning for Quality Prediction of Industrial Processes
SN Computer Science 2021cited by 14position: middledoi
Modern Soft-Sensing Modeling Methods for Fermentation Processes
Sensors 2020cited by 121position: lastdoi
A Non-linear Model Predictive Control Based on Grey-Wolf Optimization Using Least-Square Support Vector Machine for Product Concentration Control in l-Lysine Fermentation
Sensors 2020cited by 26position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Khalil Ur Rehman · Jiangsu University3 papers (2020–2021)Xianglin Zhu · Jiangsu University3 papers (2020–2021)Bo Wang · Jiangsu University3 papers (2020–2021)Saad Uddin · Jiangsu University1 papers (2020–2020) · 1 papers (2021–2021)
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