H
Hamid Reza Karimi
Researcher at Polytechnic University of Milan
Publications - 981
Citations - 31217
Hamid Reza Karimi is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Control theory & Nonlinear system. The author has an hindex of 83, co-authored 874 publications receiving 24361 citations. Previous affiliations of Hamid Reza Karimi include University of Wollongong & University of Bremen.
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Effects of water salinity on growth indices and physiological parameters in some pistachio rootstocks
TL;DR: In this paper, the effect of four water salinity levels (0.75, 5, 10 and 15 ds m−1) on growth indices and physiological parameters of four Pistacia vera L. rootstocks (Badami-e-Zarand A, Badami-eh-Zaraand B, Qazvini, and Sarakhs) were investigated under greenhouse conditions.
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Optimization of Vehicle-to-Vehicle Frontal Crash Model Based on Measured Data Using Genetic Algorithm
TL;DR: A mathematical model for vehicle-to-vehicle frontal crash is developed and a genetic algorithm approach is proposed that can accurately reproduce the real kinematic results from the crash test.
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EID-based sliding mode investment policy design for fuzzy stochastic jump financial systems
TL;DR: A sliding mode investment policy design is developed by solving the obtained linear matrix inequality (LMI)-based constrained algorithm and the Luenberger state observer is constructed for the addressed financial system to estimate the unpredictable investment changes and worldwide unpredictable events.
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Optimal residual generation for fault detection in linear discrete time-varying systems with uncertain observations
TL;DR: An operator-based framework of optimal residual generation for fault detection in linear discrete time-varying systems subject to uncertain observations is established, and it is revealed that the proposed results establish an operators' framework for some kinds of linear discrete-time systems.
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Information Sharing and Channel Construction of Supply Chain under Asymmetric Demand Information
TL;DR: The study found that the five-force model of Porter regards potential entrants only as a threat that is one-sided, which reveals information sharing and channel building mechanism in the supply chain.