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Showing 1 to 20 of 58 for “"Error Reduction"”.

  1. Theoretical detection limits and error reduction for radial velocity observations of an Earth-like exoplanet

    … observations of an Earth-twin exoplanet and the error in the mass calculated from the detected signal. If the planet's period is known through prior transit observations, the mass may be measured by radial velocity more accurately; this project tested and measured the conditions for this error

    mit Repository record for Theoretical detection limits and error reduction for radial velocity observations of an Earth-like exoplanet (opens in a new tab)

  2. Ordering prenominal modifiers with a ranking approach

    … of the Google n-gram corpus. We attain a maximum error reduction of 69.8% and average error reduction across all test sets of 59.1% compared to the state-of-the-art, and we attain a maximum error reduction of 68.4% and average error reduction across all test sets of 41.8% compared to our Google …

    mit Repository record for Ordering prenominal modifiers with a ranking approach (opens in a new tab)

  3. Designing methods for error correction in gene fabrication

    … DNA target, but to do so without making any errors. At high error rates, fabrication of long gene targets is expensive and impractical - in some cases, it is impossible. Improvements in error rates are essential for continued progress in the development of gene fabrication technology. Error

    mit Repository record for Designing methods for error correction in gene fabrication (opens in a new tab)

  4. 2X-Thru, 1X-Reflection, and Thru-Line de-embedding: Theory, sensitivity analysis, and error corrections

    … and TLD are completely derived first. The self-error reduction schemes is introduced to mitigate the de-embedding errors due to non-ideal manufacturing effects of non-zero mode conversion terms, as well as the asymmetric, and manufacturing variations. The validations are performed on both theory …

    must-thes Repository record for 2X-Thru, 1X-Reflection, and Thru-Line de-embedding: Theory, sensitivity analysis, and error corrections (opens in a new tab)

  5. The Phase Retrieval Algorithm as a Dynamical System

    … from its power spectrum [14], however the ‘error reduction algorithm’, commonly used for t his task, often converges to the wrong solution. It appears to be clear that the theory of phase retrieval is inconsistent from the practice of the phase retrieval algorithm and this dissertation is …

    de-montfort Repository record for The Phase Retrieval Algorithm as a Dynamical System (opens in a new tab)

  6. Deriving machine attention from human rationales

    … baselines, yielding over 15% average error reduction on benchmark datasets. Our code and data are available at https: //github. com/YujiaBao/R2A.

    mit Repository record for Deriving machine attention from human rationales (opens in a new tab)

  7. Reliability and Data Analysis of Wearout Mechanisms for Circuits

    … the failure modes. The systematic and random errors for online monitoring of SRAMS will also be examined. Furthermore, the testing plans for acceleration testing will also be explored for ring oscillators. Error reduction through sampling will also be used to find the best testing conditions …

    gatech Repository record for Reliability and Data Analysis of Wearout Mechanisms for Circuits (opens in a new tab)

  8. Hybrid AI-driven Approach to Context-Aware Inter-Slice Load Balancing for Cloud-Native Functions in 5G Networks

    … metrics. The hybrid platform achieves over 50% error reduction compared to earlier AI-assisted systems, demonstrating superior performance for intelligent, real-time decision-making in network environments.

    carleton Repository record for Hybrid AI-driven Approach to Context-Aware Inter-Slice Load Balancing for Cloud-Native Functions in 5G Networks (opens in a new tab)

  9. Large-margin Gaussian mixture modeling for automatic speech recognition

    … methods such as minimum classification error (MCE) training. Experiments are performed on a standard phonetic classification task and a large vocabulary speech recognition (LVCSR) task. In the phonetic classification experiments, the proposed modeling scheme yields about 1.5% absolute …

    mit Repository record for Large-margin Gaussian mixture modeling for automatic speech recognition (opens in a new tab)

  10. Microscopy of Gold Microcrystals by Coherent X -Ray Diffractive Imaging

    … The iterative algorithms explored include Error Reduction and Fienup's Hybrid Input/Output and Elser's Difference Map. In this thesis, we present the result of iteratively phasing the diffraction from a single Gold crystal to yield its 3D density map. Further, simulations are performed to …

    uiuc Repository record for Microscopy of Gold Microcrystals by Coherent X -Ray Diffractive Imaging (opens in a new tab)

  11. Analysis of Continuous Tensor-Train Methods for Optimal Control Problems with the Ornstein-Uhlenbeck Operator

    … thereafter evaluate the variances and relative errors of the resulting statistical estimators. We also evaluate the efficacy of Compressed Continuous Computation in solving time-dependent Hamilton-Jacobi-Bellman partial differential equations for a limited class of systems whose aforementioned …

    mit Repository record for Analysis of Continuous Tensor-Train Methods for Optimal Control Problems with the Ornstein-Uhlenbeck Operator (opens in a new tab)

  12. English complex verb constructions: identification and inference

    … learning model reaches 79.4% accuracy, a 41.1% error reduction compared to the baseline. In addition, adding the LVC classifier helps the simple but robust lexical TE system achieve a 39.5% error reduction in accuracy and a 21.6% absolute F1 value improvement. Similar improvements are achieved …

    uiuc Repository record for English complex verb constructions: identification and inference (opens in a new tab)

  13. Using Random Sampling Consensus (RANSAC) to Detect Errors in Global Navigation Satellite Systems (GNSS) Signals and Data

    … carrier phase (TDCP), provide for error reduction. The random sample consensus (RANSAC) method allows for the smoothing of data, even when there are a lot of gross errors present in the data set. The residuals from RANSAC and TDCP were studied to determine if they can be used to …

    ecu Repository record for Using Random Sampling Consensus (RANSAC) to Detect Errors in Global Navigation Satellite Systems (GNSS) Signals and Data (opens in a new tab)

  14. Use of Human Reliability Analysis to evaluate surgical technique for rectal cancer

    … positive surgical actions, and the avoidance of errors. However, the constituents of good surgical technique for rectal cancer have not yet been studied in sufficient detail to identify the specific associations between individual steps and their consequences. In this study the ergonomic …

    dundee Repository record for Use of Human Reliability Analysis to evaluate surgical technique for rectal cancer (opens in a new tab)

  15. Production and characterization of MutS for use in error correction

    … process has been due to the rate at which errors pervade the final product. The current state of the error reduction technology includes three different categories: error filtration, error correction, and error prevention. My research is a joint project as well as an addendum to the work …

    mit Repository record for Production and characterization of MutS for use in error correction (opens in a new tab)

  16. An observing system simulation experiment for soil moisture measurements from the SMAP radiometer

    … experiment (OSSE) was used to study the error structure of radiometer measurements using two different retrieval algorithms. In an OSSE, geophysical fields are used to create a model of surface emission, which is coupled to an orbital sampling module and proposed retrieval algorithms. …

    mit Repository record for An observing system simulation experiment for soil moisture measurements from the SMAP radiometer (opens in a new tab)

  17. Development and modeling of a dual-frequency microwave burn rate measurement system for solid rocket propellant

    … to determine its effectiveness in limiting errors caused by secondary reflections and errors in the estimates of certain material properties, particularly the microwave wavelength in the propellant. Computer simulations based upon the modeling were performed and are presented. Limited …

    vt Repository record for Development and modeling of a dual-frequency microwave burn rate measurement system for solid rocket propellant (opens in a new tab)

  18. Compensating sequences for robust quantum control of trapped-ion qubits

    … is impeded by systematic drifts and other errors. Compensating composite pulse sequences are a resource efficient technique for quantum error reduction. This work describes compensating sequences for ion-trap quantum computers. We introduce a Lie-algebraic framework which unifies all known …

    gatech Repository record for Compensating sequences for robust quantum control of trapped-ion qubits (opens in a new tab)

  19. Establishing uranium migration parameters for the Indian Springs Range

    … erosion tracts traversing the target area. Model error reduction was achieved by developing site-specific parameters for DU migration on various impacted soil horizons. Parameters determined in this work included distribution coefficients, soil texture, soil pH, uranium activity concentration, and …

    unlv Repository record for Establishing uranium migration parameters for the Indian Springs Range (opens in a new tab)

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