• No results found

Characterising particulate random media from near-surface backscattering: A machine learning approach to predict particle size and concentration

N/A
N/A
Protected

Academic year: 2019

Share "Characterising particulate random media from near-surface backscattering: A machine learning approach to predict particle size and concentration"

Copied!
8
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Fig. 1: (Colour online) The snapshot above is of a plane-wavepulse being backscattered by the grey particles, in the regiontoccupy 10% of the volume and around 150 particles were usedcles and was then backscattered
Fig. 2: (Colour online) The backscattering of the incident wavee20% of the volume.configurations
Fig. 5: (Colour online) This figure shows how increasing themaximum wave number does not lead to better predictions ofandtraining and test set to 0particle radius when measuring ⟨u⟩

References

Related documents

Using the HLA k- mer profiles to type samples involves five steps: HC1) use Kraken to assign sample FASTQ reads to HLA genes; HC2) aggregate the k -mer counts for each allele

Fire Alarm Equipment, Inspections Supplies & Services (CPMD) Laboratory Casework & Installation (CPMD). Security Equipment, Systems, Supplies & Services (CPMD)

The applicability and effectiveness of the introduced fuzzy modeling approach is examined in three case studies: prediction of a chaotic time series, identification

The selected locations at Matruh governorate within the more suitable areas (Figure 5) are located close to cultivated areas except location (A) which was located approximately

Production of EPS and partial polymer characterization Growth and EPS production by BM39 was tested using rather common carbon sources (sucrose, glucose and fructose) at a quite

Therefore, here we dynamically predicted the risks of repeated and terminal events given longitudinal histories observed before prediction time using dynamic pseudo-observations

CONCLUSIONS: A clinical protocol of a multidisciplinary team with men- tal health professionals, physicians, and surgeons, including puberty sup- pression, followed by