Deep‐learning‐based direct inversion for material decomposition
نویسندگان
چکیده
منابع مشابه
Direct Reduced Iron an Advantageous Charge Material for Induction Furnaces
Industrial and experimental induction furnaces are used for melting various types of iron ingots, returned scraps and DRI sponge pellets to produce high purity cast - iron and steel heats. The lowest consumption of electrical energy determined for continuous feeding operation is 0.3 KWH/Kg for the production of cast - iron in a 1.5 - ton industrial furnace and 0.45 KWH/Kg for the production of ...
متن کاملDirect inversion
The direct inversion method for data assimilation using isentropic tracer advection M. N. Juckes British Atmospheric Data Centre, SSTD, Rutherford Appleton Laboratory, Chilton, Didcot, Oxfordshire, OX11 0QX, UK Received: 15 June 2005 – Accepted: 13 July 2005 – Published: 19 September 2005 Correspondence to: M. Juckes ([email protected]) © 2005 Author(s). This work is licensed under a Creative...
متن کاملimproving the results of singular value decomposition inversion using direct transformation of frequency-domain hem data
helicopter-borne electromagnetic (hem) is a fast and high resolution airborne electromagnetic (aem) method that is frequently used for imaging of the subsurface resistivity structures. this is a versatile and cost effective method, frequently has used in mineral and groundwater exploration and various environmental problems. modern frequency-domain hem systems utilize small electromagnetic, mag...
متن کاملA Direct Matrix Inversion-Less Analysis for Distribution System Power Flow Considering Distributed Generation
This paper presents a new direct matrix inversion-less analysis for radial distribution systems (RDSs). The method can successfully deal with weakly meshed distribution systems. (WMDSs). Being easy to implement, direct methods (DMs) provide an excellent performance. Matrix inversion is the mean reason of divergence and low-efficiency in power flow algorithms. In this paper, the performance of t...
متن کاملDeblending by direct inversion
Deblending of simultaneous-source data is usually considered to be an underdetermined inverse problem, which can be solved by an iterative procedure, assuming additional constraints like sparsity and coherency. By exploiting the fact that seismic data are spatially band-limited, deblending of densely sampled sources can be carried out as a direct inversion process without imposing these constra...
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: Medical Physics
سال: 2020
ISSN: 0094-2405,2473-4209
DOI: 10.1002/mp.14523