Výsledky vyhledávání - "algorithms and implementation"

Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation Autor Wang, Su, Lee, Mengyuan, Hosseinalipour, Seyyedali, Morabito, Roberto, Chiang, Mung, Brinton, Christopher G.

“… Our optimization aims to select the best combination of sampled nodes and data offloading configuration to maximize FedL training accuracy subject to realistic constraints on the network topology…”
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Efficient Algorithms and Implementation of a Semiparametric Joint Model for Longitudinal and Competing Risk Data: With Applications to Massive Biobank Data Autor Li, Shanpeng, Li, Ning, Wang, Hong, Zhou, Jin, Zhou, Hua, Li, Gang

“…, and standard error estimation, where n is the number of subjects. Using both simulated and real-world biobank data, we demonstrate that these linear scan algorithms can speed up the existing methods by a factor of up to…”
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A Comparison of Frequency-Dependent Soil Models: Application to the Analysis of Grounding Systems Autor Cavka, Damir, Mora, Nicolas, Rachidi, Farhad

“…We present a review and comparison of different models representing the frequency dependence of the soil electrical parameters (conductivity and permittivity)…”
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Unsupervised Learning Reveals Geography of Global Ocean Dynamical Regions Autor Sonnewald, Maike, Wunsch, Carl, Heimbach, Patrick

“…Dynamically similar regions of the global ocean are identified using a barotropic vorticity (BV) framework from a 20‐year mean of the Estimating the…”
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Efficient Algorithms and Implementation of a Semiparametric Joint Model for Longitudinal and Competing Risks Data: With Applications to Massive Biobank Data Autor Li, Shanpeng, Li, Ning, Wang, Hong, Zhou, Jin, Zhou, Hua, Li, Gang

“…\) is the number of subjects. Using both simulated and real world biobank data, we demonstrate that these linear scan algorithms generate drastic speed-up of up to hundreds of thousands fold when \(n…”
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Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation Autor Wang, Su, Lee, Mengyuan, Hosseinalipour, Seyyedali, Morabito, Roberto, Chiang, Mung, Brinton, Christopher G

“… Our optimization aims to select the best combination of sampled nodes and data offloading configuration to maximize FedL training accuracy subject to realistic constraints on the network topology…”
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Measurement Error of the Standard Unidirectional Impulse Waveforms Due to the Limited Bandwidth of the Measuring System Autor Carobbi, Carlo F. M.

“… bandwidth of the measuring system. The parameters subject to analysis are the rise time and the peak value…”
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Optimization method for sensor planning Autor Janez, Fabrice

“… (globally speaking and subject to constraints) the planning of sensors to meet the intelligence needs expressed by the High Command…”
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Workpiece localization: Theory, algorithms and implementation Autor Chu, Yunxian

“…Workpiece localization refers to the following problem: assuming a rigid workpiece is arbitrarily fixtured to a work table, determine the position and…”
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Automatic in‐line quantitative myocardial perfusion mapping: Processing algorithm and implementation Autor Xue, Hui, Brown, Louise A.E., Nielles‐Vallespin, Sonia, Plein, Sven, Kellman, Peter

“… However, it is not clinically available and remains a research tool. Building upon the previously described imaging sequence, this study presents algorithm…”
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Incorporation of a positivity constraint into a Kalman-filter-based algorithm for correction of spectrometric data Autor Massicotte, D., Morawski, R.Z., Barwicz, A.

“…Improving the resolution of spectrometric analyses by numerical processing of spectrometric data subject to systematic errors of an instrumental type, as well as to random errors, is addressed…”
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New possibilities of increasing accuracy for nondestructive testing: Part 1. Basic principles and application examples Autor Matiss, Imants

“…A new method for increasing accuracy of nondestructive testing techniques, particularly electromagnetic (eddy current), thermal, electrical, capacitance, etc.,…”
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Biases in summary statistics of slopes and intercepts in linear regression with errors in both variables Autor Kalantar, A.H., Gelb, Robert I., Alper, Joseph S.

“…Monte Carlo simulations are employed to investigate the bias in linear regression parameters for cases in which both variables are subject to normally distributed errors…”
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A unified description of NMR imaging, data-collection strategies, and reconstruction Autor King, K F, Moran, P R

“… All forms of two-dimensional and three-dimensional imaging involve NMR data which trace various geometric representations, in reciprocal transform space, of the subject's spatially blurred "effective" spin density…”
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Original-domain Tikhonov regularization and non-negativity constraint improve resolution of spectrophotometric analyses Autor Szczecinski, L., Morawski, R.Z., Barwicz, A.

“…The resolution of spectrophotometric analyses is significantly limited by the fact that raw spectrograms are subject to systematic errors caused by the instrumental imperfections of a spectrophotometer…”
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Numerical Correction of Spectrometric Data Using a Bilinear Operator of Measurand Reconstruction Autor Szczecinski, Leszek, Morawski, Roman Z., Barwicz, Andrzej

“…The raw results of spectrometric analysis are subject to systematic errors of an instrumental type that may be reduced, provided a mathematical model of the instrumental imperfections or its pseudoinverse, i.e…”
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Adapting inverse planning to patient and organ geometrical variation: algorithm and implementation Autor Birkner, M., Yan, D., Alber, M., Liang, J., Nüsslin, F.

“…) and portal image feedback during the treatment course. The method is based on a general description of the radiotherapy optimization problem subject to dynamic geometrical variations of the patient/organs…”
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Algorithm and implementation of soil–tire contact analysis code based on dynamic FE–DE method Autor Nakashima, H, Oida, A

“… Fast development on CPU power of PC system enables us to apply numerical methods to this basic subject…”
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Burden of postpartum depression in sub-Saharan Africa: An updated systematic review Autor Nweke, Martins, Ukwuoma, Maryjane, Brown, Ada C, Okemuo, Adaora J, Ugwu, Princewill I, Nseka, Elizabeth

“…Postpartum depression (PPD) is a significant public health concern in resource-constrained sub-Saharan Africa (SSA). Efforts to combat this burden are hampered…”
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Computational Intelligence Autor Russell C. Eberhart, Yuhui Shi

“… This is the first comprehensive textbook on the subject, supported with lots of practical examples…”
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