Results 1 to 10 of about 201,433 (263)
Neural parameter calibration for dengue outbreak forecasting [PDF]
PLoS ONEDengue fever poses a growing public health challenge in tropical and subtropical regions, with transmission driven by complex interactions among viral and host.
Hoang Viet Pham +3 more
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Dynamic Parameter Calibration Framework for Opinion Dynamics Models [PDF]
Entropy, 2022 In the past decade, various opinion dynamics models have been built to depict the evolutionary mechanism of opinions and use them to predict trends in public opinion.
Jiefan Zhu +3 more
doaj +2 more sources
Targetless Radar–Camera Extrinsic Parameter Calibration Using Track-to-Track Association [PDF]
SensorsOne of the challenges in calibrating millimeter-wave radar and camera lies in the sparse semantic information of the radar point cloud, making it hard to extract environment features corresponding to the images.
Xinyu Liu, Zhenmiao Deng, Gui Zhang
doaj +2 more sources
Review of Material Parameter Calibration Method
Agriculture, 2022 The discrete element method and simulation analysis of the interaction between granular materials and implements provide a convenient and effective method for the optimal design of farming machinery.
Weiquan Fang +3 more
doaj +1 more source
Performance Index for Extrinsic Calibration of LiDAR and Motion Sensor for Mapping and Localization
Sensors, 2021 Light Detection and Ranging (LiDAR) is a sensor that uses a laser to represent the surrounding environment in three-dimensional information. Thanks to the development of LiDAR, LiDAR-based applications are being actively used in autonomous vehicles.
Gamin Kim
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External Extrinsic Calibration of Multi-Modal Imaging Sensors: A Review
IEEE Access, 2023 With the rapid development of autonomous driving, robotics, and intelligent transportation, multi-sensor-based environment sensing technology for intelligent vehicles has become a popular research direction.
Zhien Liu +4 more
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Sensitivity to Calibrated Parameters [PDF]
SSRN Electronic Journal, 2020 AbstractA common approach to estimation of dynamic economic models is to calibrate a subset of model parameters and keep them fixed when estimating the remaining parameters. Calibrated parameters likely affect conclusions based on the model, but estimation time often makes a systematic investigation of the sensitivity to calibrated parameters ...
openaire +7 more sources
Parameter calibration using meta-algorithms [PDF]
2007 IEEE Congress on Evolutionary Computation, 2007 Calibrating an evolutionary algorithm (EA) means finding the right values of algorithm parameters for a given problem. This issue is highly relevant, because it has a high impact (the performance of EAs does depend on appropriate parameter values), and it occurs frequently (parameter values must be set before all EA runs).
W. A. de Landgraaf +2 more
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An approach to identify time consistent model parameters: sub-period calibration [PDF]
Hydrology and Earth System Sciences, 2013 Conceptual hydrological models rely on calibration for the identification of their parameters. As these models are typically designed to reflect real catchment processes, a key objective of an appropriate calibration strategy is the determination of ...
S. Gharari +3 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Freeman proposed a general polarimetric system model in 1991 for the characterization and calibration of fully polarimetric synthetic aperture radar (SAR) systems.
Weibin Liang
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