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ATLAS Measurements of the Higgs Boson Coupling to the Top Quark in the Higgs to Diphoton Decay Channel

Posted By: AvaxGenius
Date: 26 Aug 2022 09:17:59
ATLAS Measurements of the Higgs Boson Coupling to the Top Quark in the Higgs to Diphoton Decay Channel

ATLAS Measurements of the Higgs Boson Coupling to the Top Quark in the Higgs to Diphoton Decay Channel by Jennet Elizabeth Dickinson
English | EPUB | 2021 | 233 Pages | ISBN : 3030863670 | 58.8 MB

During Run 2 of the Large Hadron Collider, the ATLAS experiment recorded proton-proton collision events at 13 TeV, the highest energy ever achieved in a collider. Analysis of this dataset has provided new opportunities for precision measurements of the Higgs boson, including its interaction with the top quark. The Higgs-top coupling can be directly probed through the production of a Higgs boson in association with a top-antitop quark pair (ttH). The Higgs to diphoton decay channel is among the most sensitive for ttH measurements due to the excellent diphoton mass resolution of the ATLAS detector and the clean signature of this decay.
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Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

Posted By: AvaxGenius
Date: 17 Aug 2022 08:40:48
Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing by Saro Lee
English | PDF | 2019 | 440 Pages | ISBN : N/A | 107.41 MB

As computer and space technologies have been developed, geoscience information systems(GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields.
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The Demand for Life Insurance: Dynamic Ecological Systemic Theory Using Machine Learning Techniques (Repost)

Posted By: AvaxGenius
Date: 22 Oct 2020 23:48:05
The Demand for Life Insurance: Dynamic Ecological Systemic Theory Using Machine Learning Techniques (Repost)

The Demand for Life Insurance: Dynamic Ecological Systemic Theory Using Machine Learning Techniques by Wookjae Heo
English | EPUB | 2020 | 171 Pages | ISBN : 3030369021 | 1.42 MB

This book, adopting machine learning techniques for the financial planning field, explores the demand for life insurance as seen in previous literature and both estimates and predicts the demand for the adoption of life insurance using these techniques. Previous studies used diverse perspectives, like actuarial and life span, in order to understand the demand for life insurance, though these approaches have shown inconsistent findings.
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Analysis and Design of Machine Learning Techniques (Repost)

Posted By: AvaxGenius
Date: 21 Feb 2020 22:26:54
Analysis and Design of Machine Learning Techniques (Repost)

Analysis and Design of Machine Learning Techniques: Evolutionary Solutions for Regression, Prediction, and Control Problems by Patrick Stalph
English | PDF | 2014 | 162 Pages | ISBN : 3658049367 | 2.84 MB

Manipulating or grasping objects seems like a trivial task for humans, as these are motor skills of everyday life. Nevertheless, motor skills are not easy to learn for humans and this is also an active research topic in robotics. However, most solutions are optimized for industrial applications and, thus, few are plausible explanations for human learning.
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