2021
Cited by 9
Consequently, few other countries have the capacity to observe and analyze the full range of natural disasters that can occur. .Missing: Crackear Must include: Crackear
by G Elnashai
2021
Further, as the incidence of earthquake and other natural disasters is expected to increase due to climate change, we assessed the capacity of machine learning to forecast large earthquake.Missing: Crackear Must include: Crackear
by KH Kalweit
2020
Cited by 5
Table 1 lists references for each item. Table 2 provides a summary of the reference citation counts of each of the five statistics..Missing: Crackear Must include: Crackear
by JK Rodenburg
2020
Table 1: References for each item.
Table 2: Summary of reference citation counts of each of the five statistics.
2020
Cited by 5
Figure 1. Apparent asteroid-like masses in the images produced by NEXSAR-13 (left) and NEXSAR-5 (right) are not artifacts of the sensor; they are rather a characteristic of the asteroid itself. At the time of writing, this object had not been classified. It is apparent from the image that the object has a reflection-free surface (Figure 1, left) and that it appears to have a mass that is similar to that of a.Missing: Crackear Must include: Crackear
by AB Labossi
2020
Figure 1: Left: Apparent asteroid-like mass in NEXSAR-13 image; right: Apparent asteroid-like mass in NEXSAR-5 image.
2020
Cited by 1
To perform our analysis, we developed an open source, web-based, multiresolution, signal processing tool called.
Cited by 2
This modified ADM is a method of computing and visualizing topological surface features from binary data, such as that resulting from radar images.
by G Elnashai
2020
Cited by 1
Its aim is to provide an automated, scalable approach that can discover, match, and classify topological surface features of any shape.
by KG Smith
2020
Cited by 1
Topological signal analysis (TSA) is a signal processing and be359ba680
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