Results 51 to 60 of about 101,501 (201)
Caloric curve for nuclear liquid-gas phase transition in relativistic mean-field hadronic model
The main thermodynamical properties of the first order phase transition of the relativistic mean-field (RMF) hadronic model were explored in the isobaric, the canonical and the grand canonical ensembles on the basis of the method of the thermodynamical ...
Parvan, A. S.
core +1 more source
A new perspective on the Propagation-Separation approach: Taking advantage of the propagation condition [PDF]
The Propagation-Separation approach is an iterative procedure for pointwise estimation of local constant and local polynomial functions. The estimator is defined as a weighted mean of the observations with data-driven weights.
Becker, Saskia, Mathé, Peter
core +3 more sources
This article explores the application of ground penetrating radar (GPR) as a novel, cost-effective tool for rock mass classification in geotechnical engineering. Traditional rock mass classification systems, such as the rock quality index (RQD), the rock
Konstantinos Polemis Júnior +6 more
doaj +1 more source
This research was conducted in an area around AlemKetema, North Showa, central Ethiopia; with a general objective of conducting a rock slope stability assessment on the selected natural rock slope sections.
Dawit Asmare, Trufa Hailemariam
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The Cosmological Models with Jump Discontinuities
The article is dedicated to one of the most undeservedly overlooked properties of the cosmological models: the behaviour at, near and due to a jump discontinuity.
Astashenok, Artyom V. +2 more
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The distribution of discontinuities in the deep stratigraphic rock mass is random and irregular, and the spatial distribution has statistical self-similarity, which can be analyzed by fractal theory.
Yuezheng Zhang +3 more
doaj +1 more source
Deep learning methods have shown early progress in analyzing complicated ECG signals, especially in heartbeat classification and arrhythmia detection. However, there is still a long way to go in terms of health-related data analysis.
Md Shofiqul Islam +5 more
doaj +1 more source
Identifying Clusters in Bayesian Disease Mapping [PDF]
Disease mapping is the field of spatial epidemiology interested in estimating the spatial pattern in disease risk across $n$ areal units. One aim is to identify units exhibiting elevated disease risks, so that public health interventions can be made ...
Anderson, Craig, Dean, Nema, Lee, Duncan
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Classification of Time–Frequency Maps of Guided Waves Using Foreground Extraction
Guided waves propagating in mechanical structures have proved to be an essential technique for applications, such as structural health monitoring. However, it is a well-known problem that when using non-stationary guided wave signals, dispersion, and ...
Esteban Guerra-Bravo +3 more
semanticscholar +1 more source
Continuity of the maximum-entropy inference: Convex geometry and numerical ranges approach [PDF]
We study the continuity of an abstract generalization of the maximum-entropy inference - a maximizer. It is defined as a right-inverse of a linear map restricted to a convex body which uniquely maximizes on each fiber of the linear map a continuous ...
Arleta Szko La +7 more
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