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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 +3 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
Neural parameter calibration for large-scale multiagent models. [PDF]
Proc Natl Acad Sci U S A, 2023 Computational models have become a powerful tool in the quantitative sciences to understand the behavior of complex systems that evolve in time. However, they often contain a potentially large number of free parameters whose values cannot be obtained from theory but need to be inferred from data.
Gaskin T, Pavliotis GA, Girolami M.
europepmc +7 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 +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
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
doaj +1 more source
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
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).
de Landgraaf, W.A. +2 more
openaire +2 more sources
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
Physical Parameter Calibration
, 2022 This maniscript is being totally revised.
Li, Yang, Xiong, Shifeng
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