Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
106,493
result(s) for
"Th"
Sort by:
Forest Fire Risk Assessment and Mapping Using Remote Sensing and GIS Techniques: A Case Study in Ngh An Province, Vietnam
—This paper presents the results of modeling the risk of forest fires in the west of Ngh
An Province (north-central Vietnam) using remote sensing and GIS data. We built models for the occurrence of forest fires using machine learning methods, including Random Forest (RF), Suppor Vector Machine (SVM), and Classification and Regression Trees (CART). The models took into account nine factors influencing the risk of forest fires, including vegetation cover (the normalized difference vegetation index (NDVI)), surface evapotranspiration, elevation, slope, aspect, wind speed, ground surface temperature, average monthly precipitation, and population density. Various parameters are tested in the RF, SVM, and CART algorithms to select the algorithm with the highest accuracy in forest fire risk prediction. The results show that the RF algorithm with the value of the “numberOfTrees” parameter equal to 100 has the highest accuracy in predicting the risk of forest fires in the study area.
Journal Article
Homology of Normal Chains and Cohomology of Charges
We consider a category of pairs of compact metric spaces and Lipschitz maps where the pairs satisfy a linearly isoperimetric
condition related to the solvability of the Plateau problem with partially free boundary. It includes properly all pairs of compact
Lipschitz neighborhood retracts of a large class of Banach spaces. On this category we define homology and cohomology functors with real
coefficients which satisfy the Eilenberg-Steenrod axioms, but reflect the
eBook
X-ray Thomson scattering absolute intensity from the f-sum rule in the imaginary-time domain
We present a formally exact and simulation-free approach for the normalization of X-ray Thomson scattering (XRTS) spectra based on the f-sum rule of the imaginary-time correlation function (ITCF). Our method works for any degree of collectivity, over a broad range of temperatures, and is applicable even in nonequilibrium situations. In addition to giving us model-free access to electronic correlations, this new approach opens up the intriguing possibility to extract a plethora of physical properties from the ITCF based on XRTS experiments.
Journal Article
Outflows from the youngest stars are mostly molecular
The formation of stars and planets is accompanied not only by the build-up of matter, namely accretion, but also by its expulsion in the form of highly supersonic jets that can stretch for several parsecs
1
,
2
. As accretion and jet activity are correlated and because young stars acquire most of their mass rapidly early on, the most powerful jets are associated with the youngest protostars
3
. This period, however, coincides with the time when the protostar and its surroundings are hidden behind many magnitudes of visual extinction. Millimetre interferometers can probe this stage but only for the coolest components
3
. No information is provided on the hottest (greater than 1,000 K) constituents of the jet, that is, the atomic, ionized and high-temperature molecular gases that are thought to make up the jet’s backbone. Detecting such a spine relies on observing in the infrared that can penetrate through the shroud of dust. Here we report near-infrared observations of Herbig-Haro 211 from the James Webb Space Telescope, an outflow from an analogue of our Sun when it was, at most, a few times 10
4
years old. These observations reveal copious emission from hot molecules, explaining the origin of the ‘green fuzzies’
4
–
7
discovered nearly two decades ago by the Spitzer Space Telescope
8
. This outflow is found to be propagating slowly in comparison to its more evolved counterparts and, surprisingly, almost no trace of atomic or ionized emission is seen, suggesting its spine is almost purely molecular.
Near-infrared imagery and spectroscopy from JWST of the Herbig-Haro 211 system, an analogue of the young Sun, reveals supersonic jets of hot molecules that can explain the origin of the ‘green fuzzies’ phenomenon.
Journal Article
Inertial projection and contraction algorithms for variational inequalities
In this article, we introduce an inertial projection and contraction algorithm by combining inertial type algorithms with the projection and contraction algorithm for solving a variational inequality in a Hilbert space H. In addition, we propose a modified version of our algorithm to find a common element of the set of solutions of a variational inequality and the set of fixed points of a nonexpansive mapping in H. We establish weak convergence theorems for both proposed algorithms. Finally, we give the numerical experiments to show the efficiency and advantage of the inertial projection and contraction algorithm.
Journal Article