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by
Salyers, Jacob, author.
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Excerpt:
Use of Machine Learning Algorithms in Electroencephalography based Brain-Computer Interfaces /
by
Hopper, Matthew S., author.
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With continued development needed in the signal processing algorithms, the eye-gaze tracking
by
Gómez Cardona, Daniel, author.
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highly nonlinear denoising algorithms and image reconstruction methods. Current approaches to assess
by
Gude Divya Sampath, Vinayaka Nagendra Harikishan, author.
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the United States. In addition, the algorithms developed here were used to predict cord pH levels, the
by
Dhiman, Siddhartha, author. (orcid)0000-0001-6957-8765
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). Using computational algorithms to detect cells and characterize them, it was discovered that NPCs in
by
Hecker, Joseph, author. (orcid)0000-0002-5334-6959
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opportunity to develop a number of phase spectrum-based displacement estimation algorithms. In this work, a
by
Han, Dong, author.
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constraints, both algorithms demonstrate high efficiency of convergence. For an idealized digital phantom
by
Nakarmi, Ukash, author. (orcid)0000-0002-5351-3956
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-Nyquist data. Within this framework, many existing linear algorithms can be extended to kernel framework with
by
Hooper, Jeffrey Alan, author. (orcid)0000-0001-7255-8933
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CSE were used to create test algorithms to predict the event in that final one-hour period prior to
by
Zhao, Yue, author.
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map that is converted to the geometry of the mouse surface with the algorithms. We used a DigiWarp
by
Qadri, Maria Jamal, author.
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Excerpt:
contributes unique information to existing multi-parameter prediction algorithms to forecast IH.