Suchergebnisse - "Smoothing Algorithms"

Efficacy of Smoothing Algorithms to Enhance Detection of Visual Field Progression in Glaucoma von Mohammadzadeh, Vahid, Li, Leyan, Fei, Zhe, Davis, Tyler, Morales, Esteban, Wu, Kara, Lee Ma, Elise, Afifi, Abdelmonem, Nouri-Mahdavi, Kouros, Caprioli, Joseph

“… )-smoothing algorithms to reduce variability and enhance the performance of glaucoma visual field (VF) progression models …”
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Centralized filtering and smoothing algorithms from outputs with random parameter matrices transmitted through uncertain communication channels von Caballero-Águila, R., Hermoso-Carazo, A., Linares-Pérez, J.

“… The least-squares linear centralized estimation problem is addressed for discrete-time signals from measured outputs whose disturbances are modeled by random …”
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On Filtering and Smoothing Algorithms for Linear State-Space Models Having Quantized Output Data von Cedeño, Angel L., González, Rodrigo A., Godoy, Boris I., Carvajal, Rodrigo, Agüero, Juan C.

“… The problem of state estimation of a linear, dynamical state-space system where the output is subject to quantization is challenging and important in different areas of research, such as control …”
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Transforming data into information von Beck, M.B., Lin, Z.

“… from “technological push” or the “demand pull” of practical problem solving is not the subject of discussion …”
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Enhanced Multiple Target Tracking Using a Generalized Multi-Target Smoothing Algorithm With Tracklet Association von Ho Lee, In, Gook Park, Chan

“… Multiple Target Tracking (MTT) is an extensively researched field with significant importance and a wide range of applications. However, in challenging …”
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Smoothing algorithm for the maximal eigenvalue of non-defective positive matrices von Li, Na, Zhong, Qin

“… This paper introduced a smoothing algorithm for calculating the maximal eigenvalue of non-defective positive matrices …”
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A Two-Filter Approach for State Estimation Utilizing Quantized Output Data von Cedeño, Angel L., Albornoz, Ricardo, Carvajal, Rodrigo, Godoy, Boris I., Agüero, Juan C.

“… Filtering and smoothing algorithms are key tools to develop decision-making strategies and parameter identification techniques in different areas of research, such as economics, financial data …”
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Covariance-Based Estimation for Clustered Sensor Networks Subject to Random Deception Attacks von Caballero-Águila, Raquel, Hermoso-Carazo, Aurora, Linares-Pérez, Josefa

“… In this paper, a cluster-based approach is used to address the distributed fusion estimation problem (filtering and fixed-point smoothing) for discrete-time …”
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Development and validation of a human lumbar spine finite element model based on an automated process: Application to disc degeneration von Liang, Chang, Yang, Lei, Wang, Yuming, Zhang, Jinyang, Zhang, Bing

“… This study utilizes deep learning algorithms and smoothing algorithms to accurately segment CT images and generate patient-specific three-dimensional (3D) lumbar masks …”
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Distributed estimation for uncertain systems subject to measurement quantization and adversarial attacks von Caballero-Águila, Raquel, Hu, Jun, Linares-Pérez, Josefa

“… from neighboring nodes. The algorithms are developed under the assumption that the sensor measurements are quantized and subject to random parameter variations, in addition to time-correlated additive noises …”
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Functional Mixed-Effects Modeling of Longitudinal Duchenne Muscular Dystrophy Electrical Impedance Myography Data Using State-Space Approach von Kapur, Kush, Sanchez, Benjamin, Pacheck, Adam, Darras, Basil, Rutkove, Seward B., Selukar, Rajesh

“… and taking into account of within subject correlations of these curves along the longitudinal …”
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Two Compensation Strategies for Optimal Estimation in Sensor Networks with Random Matrices, Time-Correlated Noises, Deception Attacks and Packet Losses von Caballero-Águila, Raquel, Hu, Jun, Linares-Pérez, Josefa

“… additive noises, exposed to random deception attacks and subject to random packet dropouts …”
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English grammar intelligent error correction technology based on the n-gram language model von Xiao, Fan, Yin, Shehui

“… To improve the quality of electronic text, this study introduces a moving window algorithm and linear interpolation smoothing algorithm to build a Cn-gram language model …”
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NONSMOOTH MODEL FOR PLASTIC LIMIT ANALYSIS AND ITS SMOOTHING ALGORITHM von 李建宇 潘少华 李兴斯

“… Aimed at resolving the non-differentiability of Euclidean norms, a smoothing algorithm for the limit analysis of perfect-plastic continuum media is proposed …”
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Effects of Phase Scintillation on the GNSS Positioning Error During the September 2017 Storm at Svalbard von Linty, Nicola, Minetto, Alex, Dovis, Fabio, Spogli, Luca

“… In early September 2017, several space weather events triggered disturbed conditions of the near‐Earth space. The combination of two coronal mass ejection …”
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Modeling Bivariate Longitudinal Hormone Profiles by Hierarchical State Space Models von Liu, Ziyue, Cappola, Anne R., Crofford, Leslie J., Guo, Wensheng

“… In this article, we propose a bivariate hierarchical state space model, in which each hormone profile is modeled by a hierarchical state space model, with both population-average and subject-specific components …”
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Effective use of a novel rate-smoothing algorithm in atrial fibrillation by ventricular pacing von Duckers, H J, van Hemel, N M, Kelder, J C, Bakema, H, Yee, R

“… Eight patients underwent temporary right ventricular pacing, using a novel rate-smoothing algorithm prior to DC cardioversion or His bundle ablation …”
Weitere Angaben

Super-Twisting Sliding Mode Distributed Consensus for Nonlinear Multi-Agent Systems with Unknown Bounded External Disturbances von Kada, Belkacem, Munawar, Khalid

“… for these disturbances, ensuring robust tracking without requiring time-derivative sliding variables or smoothing algorithms …”
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Artificial Intelligence Technology Drives Intelligent Transformation of Music Education von Hou, Chunbo

“… , and the median smoothing and linear smoothing algorithms in the fundamental tone smoothing algorithm are introduced in the audio feature extraction …”
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Quadratic estimation for stochastic systems in the presence of random parameter matrices, time-correlated additive noise and deception attacks von Caballero-Águila, Raquel, Linares-Pérez, Josefa

“… •Sensor measurements are exposed to random deception attacks.•Covariance-based LS quadratic filtering and smoothing algorithms are designed …”
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