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The fact that Hb was estimated in only 37% of ANC visits despite Hb estimation machines being available in 64% of health facilities raise more questions on the performance, accountability, commitment of health care providers and supervision in the health sector.
Hb estimation machines were available in less than two thirds (64%) of the health facilities.
Hb estimation machines, Glucostik and albustik kits were completely unavailable in these facilities for up to 12 months before the study.
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The results are encouraging and this method can be used in real time estimation of machining process and machining performance.
This paper presents a magnetic circuit model to the estimation of machine parameters of an interior permanent magnet synchronous machine.
This paper discusses the estimation of machining times necessary to assess the tools selected using machining performance related criteria.
This paper will present a practical approach to the estimation of machine tool component life based on simulation.
The implemented L-BFGS algorithm can be used for parameter estimation in machine learning problems with a very large number of parameters.
It is a popular algorithm for parameter estimation in machine learning and some works have shown its effectiveness over other optimization algorithms [11 13].
In Part 2, a method for the estimation of machining times is presented together with results from testing the methods using real components.
As a specific example, we show the results of evaluating the estimation by machine learning for the gradient and unevenness of the sidewalk from the sensor data during the passage of a stroller.
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