The phrase 'above-mentioned issue' is correct and usable in written English.
You can use this phrase when you are referring back to something that was previously mentioned in the same text or conversation. For example, "I had previously discussed the above-mentioned issue at length with my colleagues."
In the case of a bimetal/semiconductor system, the above-mentioned issue is even more critical.
While the purpose of this work was to use an HMM as a framework to analyze the convenience of using TFR features, the above-mentioned issue would definitely deserve a specific study based on a different definition of the chord recognition problem as well as on the adoption of other labeled music material.
The above-mentioned issue can be viewed as a sequential decision making problem [37] in which at time step i a decision based on all previous points (alpha _i varvec{lambda }_{1:i-1}, bar{f}_{1:i-1})), where (bar{f}_i = f(x_i) + varepsilon _i) is made.
Considering the above-mentioned issue, this study focuses on the temporal behaviors of the Twitter service known as "retweeting," in which users disseminate information by resending a previous tweet, and develops a method for extracting feature words and phrases that can predict retweeting behavior using the content of the users' tweeting history.
Either due to the above-mentioned issue of biosurfactants interfering with direct uptake of hydrocarbons or simply because of the fact that these molecules may be treated as an alternative carbon source preferential utilization of biosurfactants compared to target contaminants is a highly negative pattern.
Third, when considered in tandem with above-mentioned issues, there is the problem of the guy in the dinosaur suit, a cinematic technology later referred to by the unseemly coinage "suitmation".
Research shows that fuzzy classification methods are good choice to cope with the above-mentioned issues.
The above-mentioned issues can be addressed through the alternative approach of numerical modeling.
Experiences developed at University of Cassino are reported to show examples of the practical implementation of the above-mentioned issues.
At the present time, there are no intelligent adaptive or individualized tutoring technologies that satisfactorily solve those above-mentioned issues.
A short summary to the above-mentioned issues will be given as the end of this section.
