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In future works, we plan to research the methods to increase the matching accuracy and combine multiple classifiers using a training-based method.
In future works, we plan to expand head-pose estimation to include gaze estimation and obtain a better understanding of the object of an individual's interest.
As a consequence of this, in our future works we plan to study the performance of the NeMHIP protocol in other ITS contexts, such as motorways or high-speed trains.
In future works, we plan to expand the current database by including virtual subjects with pathology that can be simulated using 1D modeling (e.g., hypertension, diabetes).
Nevertheless, in future works, we plan to extend our validation tests to substrates produced by other companies to further assess the robustness and adaptability of the classification system.
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In future work we plan to expand our spectral library and improve the experimental design and our models.
For future work, we plan to extend the proposed algorithm by incorporating QoS prioritization.
As future work, we plan to give more support for administrators to manage Cloud resources.
For future work, we plan to measure a real object using our method.
In future work, we plan to extend our proposed scheme by discarding those assumptions.
For future work, we plan to use our insights to design personalized user recommendation algorithms.
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CEO of Professional Science Editing for Scientists @ prosciediting.com