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Production of functional molecules from renewable bio-feedstocks and bio-waste has the potential to significantly reduce the greenhouse gas emissions. However, the development of such processes common...
We present a Bayesian approach to inverse scattering problems of reconstructing the rotation angle in clockwise direction of an acoustically sound-soft obstacle from phaseless far-field data in two di...
提出了基于Bayesian体系融合的新型弹药消耗预计方法。分析了影响新型弹药消耗的关键微观因素,并按权重生成其体系贡献度计算模型,将单因素影响下的弹药消耗量试验样本进行体系融合,再与现场试验数据融合,预计复杂因素影响下的新型弹药消耗量。以某新型弹药侵彻效应数据为依托,通过多因素分析方法得到弹体入射角度、弹道终点速度两个关键因素,运用该方法统计推断出目标达到重度毁伤时的弹药消耗量,验证该方法的科学性...
In this research different DSMs from different sources have been merged. The merging is based on a probabilistic model using a Bayesian Approach. The implemented data have been sourced from very high ...
In this study, we analyze the quality of water hydrant data for estimating housing vacancies based on their spatial relationships with the other geographical data that we consider are correlated with ...
Nowadays photogrammetry and laser scanning methods are the most wide spread surveying techniques. Laser scanning methods usually allow to obtain more accurate results with respect to photogrammetry, b...
Automated approaches to building detection are of great importance in a number of different applications including map updating and monitoring of informal settlements. With the availability of multi-s...
Classification is an open, old and basic problem in many domains. Recently, a lot of new methods come forth, such as Bayesian Networks. Bayesian Networks, one of probabilistic networks, are a powerful...
Airborne Light Detection and Ranging (LiDAR) generates high-density 3D point clouds to provide a comprehensive information from object surfaces. Combining this data with aerial/satellite imagery is qu...
Hyperspectral-multidirectional radiance observations of the land surface from space potentially form one of the richest sources of geobiophysical information possible. For soil-vegetation objects, th...
Magnetotelluric directional analysis and impedance tensor decomposition are basic tools to validate a local/regional composite electrical model of the underlying structure. Bayesian stochastic methods...
This paper describes the framework for automatic quality assessment of existing geo-spatial data. The necessary reference information is derived from up-to-date digital aerial images via automatic obj...
Bayesian Robots Programming     Robots Programming  Robots       2015/7/30
We propose a new method to program robots based on Bayesian inference and learning. The capacities of this programming method are demonstrated through a succession of increasingly complex experiment...
This paper presents a model-based monitoring framework for the detection of fatigue-related crack damages in plate-type structures commonly seen in aluminum ship hulls. The monitoring framework involv...

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