A comparison of machine learning methods for automated gamma-ray spectroscopy
نویسندگان
چکیده
منابع مشابه
on the comparison of keyword and semantic-context methods of learning new vocabulary meaning
the rationale behind the present study is that particular learning strategies produce more effective results when applied together. the present study tried to investigate the efficiency of the semantic-context strategy alone with a technique called, keyword method. to clarify the point, the current study seeked to find answer to the following question: are the keyword and semantic-context metho...
15 صفحه اولInstrumentation for Gamma-Ray Spectroscopy
The subject of ttis chapter is the function and operation of the components of a gamma-ray spectroscopy system. In Chapter 3 it was shown that the output pulse amplitude from most gamma-ray detectors is proportional to the energy deposited by the gamma ray. The pulse-height spectrum from such a detector contains a series of full-energy peaks superimposed on a continuous Compton background. Alth...
متن کاملCdZnTe Gamma Ray Spectrometer for Orbital Gamma Ray Spectroscopy
We present the design and analysis of a new gamma ray spectrometer for planetary science that uses an array of CdZnTe detectors to achieve the detection efficiency needed for orbital measurements. The use of CdZnTe will provide significantly improved pulse height resolution relative to scintillation-based detectors, with commensurate improvement in the accuracy of elemental abundances determine...
متن کاملComparison between Amperometric and Chemiluminescence methods in detection and dosimetry of cobalt-60 gamma ray emission
Background: Hydrogen peroxide (H2O2), produced by gamma ray irradiation to watery solution, was used as an analytical parameter for dosimetry of cobalt-60 (60Co) radiation. Materials and Methods: Detection of the produced H2O2 was carried out using two methods: an amperometric biosensor fabricated by immobilization of anthraquinone 2-carboxylic acid modified horseradish peroxidase on glassy car...
متن کاملMachine Learning Methods for Automated Detection of Severe Diabetic Neuropathy
Objective: The present study aimed at investigating machine learning methods for automated detection of severe diabetic neuropathy. Severe diabetic neuropathy represents a significant neurological problem in diabetes as it requires urgent intervention to reduce the risk of sudden cardiac death. Automated detection provides a tool that can be applied to clinical data and for identifying comorbid...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
سال: 2020
ISSN: 0168-9002
DOI: 10.1016/j.nima.2018.10.063