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We propose a method to calculate the coefficients that will be influencing the design of a Robot based on a mathematical equation in a discrete time model using a (FFNN) feed forward neural network as it is a really challenging task to design them for any of the industrial applications especially in medical field.
The huge amount of data of the resulting uncompressed image/video needs to be processed to guarantee its transmission or storage, being a really challenging task.
When you first start thinking about your speech, it can seem like a really challenging task.
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However, to give spatial representation of text based documents is really a challenging task due to the spatial uncertainty of location and imprecision of historical data (Knowles 2008).
However, it is really a challenging task to capture large-scale and long-time conformational transitions of proteins or enzymes for both experimental and computational methods.
Ease of understanding and use Understanding clinical notes (especially unstructured papers) in right context and its appropriate use are really the challenging tasks.
"It's a really challenging machine learning task.
Most probably at the beginning of this task, it may be really challenging and much attention and awareness are required to perform the task.
But studies show that you need to focus on one challenging task at a time in order to really nail it.
"It's a very challenging task to pick from the vast world of cinema and figure out what is really right for us".
It is a challenging task.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com