Results 1 to 10 of about 202,558 (165)
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
doaj +5 more sources
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
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
doaj +1 more source
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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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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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
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Physical Parameter Calibration
, 2022 This maniscript is being totally revised.
Li, Yang, Xiong, Shifeng
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