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PURPOSE Neuroblastomas frequently show expression of the epidermal growth factor receptor (EGFR) and may therefore be susceptible to EGFR-targeted therapies. Here, EGFR expression and functionality was investigated in parental chemosensitive neuroblastoma cell lines (UKF-NB-3, IMR-32, NLF, SH-SY5Y) and their cisplatin-resistant sublines (UKF-NB-3(r)CDDP(1000), IMR-32(r)CDDP(1000), NLF(r)CDDP(10...
Due to the randomness and uncertainty in atmospheric environment, accompanied by a variety of unknown noise. Accurate prediction PM 2.5 concentration is very important for people prevent injury effectively. In order predict more accurately this hybrid modelling method support vector regression adaptive unscented Kalman filter (SVR-AUKF) proposed case incorrect or Firstly, model was established ...
با اتصال عمیق یک (ukf) این پژوهش به تخمین مدار یک ماهواره نوعی با استفاده از فیلتر کالمن خنثی در حلقه آن م یپردازد. در این راستا، ابتدا مدار ماهواره با لحاظ کردن اثرات ناهمگونی gnss مشاهده گر با ukf زمین شبی هسازی شده و اثرات تغییرات زمانی مدار نیز در حلقه تخمین اعمال گردید. سپس الگوریتم استفاده از مدل غیرخطی دینامیک مداری، پیشبینی اولیه را انجام می دهد. در ادامه با استفاده از یک و سیستم فضایی ...
Abstract The secret key rate of a continuous-variable quantum distribution (CV-QKD) system is limited by excess noise. A issue typical to all modern CV-QKD systems implemented with reference or pilot signal and an independent local oscillator controlling the noise generated from frequency phase accrued transmitter receiver. Therefore accurate estimation compensation, so-called carrier recovery,...
To ensure the safety of space station and improve accuracy estimated trajectory tracking noncooperative target, an optical imaging micro-/nanosatellite based on APSO-SSUKF (adaptive particle swarm optimization-spherical simplex unscented Kalman filter) is proposed to track low-orbit target using angle-only measurement. First, algorithm considers effect J2 perturbation, uses data as observation ...
Book review on Edita Gromová, Natália Rondziková, Igor Tyšš (eds.) (2021) Archívny výskum (textov) v interdisciplinárnych súvislostiach, Nitra: Katedra translatológie FF UKF Nitre.
We consider the problem of estimating a nonlinear state-space model whose state process is driven by an ordinary differential equation (ODE) or a stochastic differential equation (SDE), with discrete-time data. We propose a new estimation method by minimizing the conditional least squares (CLS) with the conditional mean function computed approximately via unscented Kalman filter (UKF). We deriv...
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