Suchergebnisse - Instrumental and algorithm’s parameters

Inter-laboratory verification of European pharmacopoeia monograph on derivative spectrophotometry method and its application for chitosan hydrochloride von Marković, Bojan, Ignjatović, Janko, Vujadinović, Mirjana, Savić, Vedrana, Vladimirov, Sote, Karljiković-Rajić, Katarina

“… and algorithm’s parameters.•Algorithm’s parameter smoothing points (SP) 7 required for verification …”
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Predicting the binding residues of four small molecule ligands by utilizing ensemble algorithms with additional correlation features von Gao, Sujuan, Hu, Huimin, Hu, Xiuzhen, Feng, Zhenxing, Chen, Shaohua, Yao, Yuqian, Tang, Benjun

“… Precisely predicting the binding residues of protein-small molecule ligands is crucial for advancing protein functional annotation and aiding in the design of …”
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A combination of Newton-Raphson method and heuristics algorithms for parameter estimation in photovoltaic modules von Gnetchejo, Patrick Juvet, Ndjakomo Essiane, Salomé, Dadjé, Abdouramani, Ele, Pierre

“… Parameters extraction is instrumental to standard PV cells design. Reports indicates that heuristic algorithms are the most effective methods for accurately determinining the values of parameters …”
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Instrumental variable‐based multi‐innovation gradient estimation for nonlinear systems with scarce measurements von Xia, Huafeng, Xu, Sheng, Miao, Xinghua, Cao, Jian

“… parameter estimates can be unbiased consistent estimates. The key is how to choose the instrumental variables …”
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The conditional Fama-French model and endogenous illiquidity: A robust instrumental variables test von Racicot, François-Éric, Rentz, William F., Tessier, David, Théoret, Raymond

“… , as these parameters are essentially universal in asset pricing models. To tackle endogeneity and other specification errors, we rely on our robust instrumental variables (RIV …”
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Multivariate disturbance filtering in auditory fNIRS signals using maximum likelihood gradient estimation method: Feasibility study using sound quality indices von Yoo, So-Hyeon, Hong, Jiyoung, Hong, Keum-Shik, Lee, Yonghee

“… from heartbeats, breathing, shivering, and instrumental noises as multivariate parameters. To evaluate the effectiveness of the algorithm in filtering involuntary signals …”
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Automated Regularized Deconvolution for Eliminating Extra-Column Effects in Fast High-Efficiency Separations von Handlovic, Troy T, Wahab, M Farooq, Roy, Souvik, Brown, Ronald E, Armstrong, Daniel W

“… With no-column data at various flow rates, the interior point optimization algorithm extracts the parameters describing instrumental distortion …”
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Instrumental-variable least-absolute-error algorithms for parameter estimation of continuous-time systems von Kowalczuk, Z., Kozowski, J.

“… ) and instrumental variable least-absolute error (IvLA) is under consideration. Estimates of the system parameters are obtained based …”
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ON THE STABILITY OF THE EXCESS SENSITIVITY OF AGGREGATE CONSUMPTION GROWTH IN THE USA von EVERAERT, GERDIE, POZZI, LORENZO, SCHOONACKERS, RUBEN

“… Anticipated disposable income growth is calculated by incorporating an instrumental variables estimation approach into our MCMC algorithm …”
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Construction of a model for predicting sensory attributes of cosmetic creams using instrumental parameters based on machine learning von He, Jingru, Qian, Xuedan, Huang, Hu, Lin, Bao, Zhang, Jun, Zhang, Chunxiao, Chen, Yuyan

“… from trained expert evaluations. Pearson’s correlation analyses and multiple supervised learning algorithms were applied to establish relationships between each sensory attribute and the instrumental parameters, respectively …”
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Algorithm for adaptive observation based on method of instrumental variables von Nikolov, Nikola, Alexandrova, Mariela, Ubaydullayeva, Shakhnoza, Gaziyeva, Rano, Zulfiya, Khafizova, Ubaydullayeva, Dilorom

“… The instrumental variables (IVs) method is a commonly used parameter estimation method [1-10]. The task of adaptive observation is to create state observers containing parameter estimators …”
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Parameter Estimation for the Hammerstein State Space System with Measurement Noise von Han, Jiahu, Li, Feng, Cao, Qingfeng

“… This paper considered the parameters estimation algorithm for the Hammerstein state space system with measurement noise using special test signals …”
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Efficient and Robust Parameter Optimization of the Unitary Coupled-Cluster Ansatz von Li, Weitang, Ge, Yufei, Zhang, Shi-Xin, Chen, Yu-Qin, Zhang, Shengyu

“… The variational quantum eigensolver (VQE) framework has been instrumental in advancing near-term quantum algorithms …”
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Matrix factorization based instrumental variable approach for simultaneous identification of Bi-directional path models von Jiang, Benben, Luo, Yi

“… This paper proposes a closed-loop identification approach to integrate matrix factorization algorithms with generalized instrumental variable (GIV …”
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The Computational Challenges of Means Selection Problems: Network Structure of Goal Systems Predicts Human Performance von Reichman, Daniel, Lieder, Falk, Bourgin, David D., Talmon, Nimrod, Griffiths, Thomas L.

“… We study human performance in two classical NP‐hard optimization problems: Set Cover and Maximum Coverage. We suggest that Set Cover and Max Coverage are …”
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Optimal Estimation of Rational Feedforward Control via Instrumental Variables: With Application to a Wafer Stage von Boeren, Frank, Blanken, Lennart, Bruijnen, Dennis, Oomen, Tom

“… An instrumental variable‐based algorithm is developed that leads to unbiased parameter estimates and optimal accuracy in terms of variance …”
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Adaptive Neuro-Fuzzy Black-Box Modeling Based on Instrumental Variable Evolving Algorithm von Rocha, Orlando, Serra, Ginalber

“… In this paper, an online identification algorithm for instrumental variable-based evolving neuro-fuzzy modeling applied to dynamic systems in noisy environment is proposed …”
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A Generalized Recursive Identification Algorithm Compensated by Orthogonal Weighted Kernel for Tracking Time-Variant Systems von Tahbaz-zadeh Moghaddam, Iman, Ayati, Moosa, Taghavipour, Amir

“… functions in each sliding window. Properties of the proposed algorithm are extended to both least squares estimator and instrumental variable estimator …”
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Identification by single-particle soot photometer of black carbon particles attached to other particles: Laboratory experiments and ground observations in Tokyo von Moteki, Nobuhiro, Kondo, Yutaka, Adachi, Kouji

“… We develop a new algorithm to classify mixed BC‐containing particles …”
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Identification for Precision Mechatronics: An Auxiliary Model‐Based Hierarchical Refined Instrumental Variable Algorithm von Zhang, Chen, Liu, Yang, Liu, Kaixin, Song, Fazhi

“… Additionally, an auxiliary model‐based hierarchical refined instrumental variable (AM‐HRIV) iterative algorithm and an AM …”
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