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Many open research and application opportunities will be noted.
The reconfigurable system area is a very promising, but quite a new field, with many open research and development topics.
This approach outperforms state-of-the-art MTL classifiers, however, many open research challenges remain open in this area [83].
There are still many open research problems to solve in this area, e.g., training design in the presence of MTOs and MCFOs or hardware implementation of the proposed algorithms.
They can be effectively applied also to nonlinear problems [37, 58, 59], even if this in turn introduces both numerical and theoretical complications, and many open research issues are still to be faced.
There are still many open research challenges related to the development of different network and resource management and optimization tools to be deployed on the SDN control and interface architecture.
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Later articles in the series will confront some of the many open issues in research on ubiquitination, and extend the exploration of its contributions to fundamental cell biological processes.
From this study, it becomes clear that, although adaptive routing has potential and interesting applications, there are still many open issues representing huge research topics on their own.
In such cases transfer learning would greatly improve the performance of learning by avoiding much expensive data-labeling efforts, however, many open questions remain for future research [88].
The focus of technology-based assessment reveals many open questions that require additional research, such as comparisons of the data quality of technology-based assessment and traditional assessment approaches.
There are still many open questions in data-analytic research pertaining to biomarker development in the era of personalized/precision medicine and big data.
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