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Performance prediction methods can help software architects to identify potential performance problems, such as bottlenecks, in their software systems during the design phase.
Also, we should mention that according to Figure 3, EIT window can be shifted and broadened; so, this structure not only can be used for detecting other gases with different absorption wavelength but also enhances performance problems such as unfixed speed of mechanical moving.
Identifying strategies to address factors contributing to performance problems, such as low motivation, is important but managers need to be aware that blue print solutions do not exist.
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Though several materials showed possibilities to applications as the catalysts in terms of catalytic performance, serious problems such as catalytic activity and durability should be improved for practical commercialization [19].
Anxiety-related responding and skill deficits historically are associated with performance-based problems such as mathematics anxiety, yet the relative contribution of these variables to substandard performance remains poorly understood.
Although of low cost and relatively simple to administer, the TST suffers from a number of well-documented performance and logistical problems, such as the need for individuals to return for test reading, the variability and subjectivity in test application and reading and low specificity [ 5, 6].
Accelerating hardware devices represent a novel promise for improving the performance for data-intensive problems such as document clustering.
CRO has demonstrated excellent performance in solving many engineering problems such as the quadratic assignment problem, neural network training, multimodal continuous problems, etc.
In contrast, our analysis allows us to accurately predict the performance of IDA∗ on actual problems such as the sliding-tile puzzles and Rubik's Cube.
In the last few years, deep learning has led to very good performance on a variety of problems, such as visual recognition, speech recognition and natural language processing.
So far, discovery mechanisms based on the UDDI standard rely on many centralized and area-specific directories, which poses information stress problems such as performance bottlenecks and fault tolerance.
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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