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National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch | Romania | 4 days ago
algorithms. Advanced knowledge of data processing and analysis techniques is required for the evaluation of the performance of electrochemical systems, the identification of degradation patterns and the
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National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch | Romania | 4 days ago
the response of electrochemical systems in variable operating regimes. The position involves contributions to the evaluation of constructive solutions and relevant algorithms for the control and optimization
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National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch | Romania | 4 days ago
processing algorithms, detection and characterization of current ripple, modeling the behavior of electrochemical systems and implementing adaptive control strategies for voltage and current stabilization
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distribution under a suitable time scaling. The purpose is to offer a deeper analysis of this class of stochastic processes concerning their stochastic and statistical analysis and to propose some non-Gaussian
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Hermite processes. Self-similar processes are stochastic processes that are invariant in distribution under a suitable time scaling. The purpose is to offer a deeper analysis of this class of stochastic
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-similar processes are stochastic processes that are invariant in distribution under a suitable time scaling. The purpose is to offer a deeper analysis of this class of stochastic processes concerning
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-similar processes are stochastic processes that are invariant in distribution under a suitable time scaling. The purpose is to offer a deeper analysis of this class of stochastic processes concerning
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research and innovation lab offers metadata, algorithms, and code snippets to bridge the gap between practice and insightful modeling. IDA develops valuable metrics which translate into investment
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processes that are invariant in distribution under a suitable time scaling. The purpose is to offer a deeper analysis of this class of stochastic processes concerning their stochastic and statistical analysis
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Hermite processes. Self-similar processes are stochastic processes that are invariant in distribution under a suitable time scaling. The purpose is to offer a deeper analysis of this class of stochastic