Skip to main content
People
Isfahan University of Technology
Finding Contents or People
A Unified Approach to Structural Analysis and Design of Model Predictive Controllers
A Unified Approach to Structural Analysis and Design of Model Predictive Controllers
Investigation on total phenolic content, antioxidant activity, and emulsifying capacity of sodium alginate from Nizimuddinia zanardini during microwave-assisted extraction; optimization and statistical modeling
Investigation on total phenolic content, antioxidant activity, and emulsifying capacity of sodium alginate from Nizimuddinia zanardini during microwave-assisted extraction; optimization and statistical modeling
Performance of hybrid exponentially weighted moving average control chart in the presence of measurement errors
Fixed-Time Observer-based Homogeneous Controller with State-dependent Exponent for Fault Tolerant Control of an Underwater Vehicle
A stochastic approach to estimate intraocular pressure and dynamic corneal responses of the cornea
A stochastic approach to estimate intraocular pressure and dynamic corneal responses of the cornea
A generalization of Müntz-Legendre polynomials and its implementation in optimal control of nonlinear fractional delay systems
Upgrading the Human Development Index (HDI) to control pandemic mortality rates: A data mining approach to COVID-19
Nonlinear Seismic Behavior of Torsional Buildings Designed Based on Force and Displacement Procedures
Multivariate ELR control chart with estimated mean vector and covariance matrix
Tone colour in music and bifurcation control
Robust Simultaneous Lot-sizing and Scheduling with considering Controllable Processing Time and Fixed Carbon Emission in Flow-shop Environment
Seed yield stability with modified essential oil content and composition in self-compatible progenies of bitter fennel (Foeniculum vulgare Mill.)
Pagination
First page
« First
Previous page
‹‹
…
Page
16
Page
17
Page
18
Page
19
Page
20
Page
21
Page
22
Page
23
Page
24
…
Next page
››
Last page
Last »
تحت نظارت وف بومی