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by
Alharbi, Fares Theyab A, author.
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Evolution and Multiobjective Algorithms / Alharbi, Fares Theyab A, author.
by
Li, Wei, author.
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Deep Learning Based Facial Computing - Data, Algorithms and Applications / Li, Wei, author.
by
Eaton, Christopher M., author.
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approach for testing autonomous algorithms and systems is proposed to enable efficient and effective test
by
Hopper, Matthew S., author.
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With continued development needed in the signal processing algorithms, the eye-gaze tracking
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Bittner, Rachel, author.
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, with the majority of algorithms designed for and tested on a single musical target, even if the
by
Singha Roy, Pranoy Kumar, author.
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the battery state of charge (SOC), rule based algorithms are developed to estimate the perfect grid
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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
Braun, Adam D., author.
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CubeSats to utilize AI algorithms. These computationally intensive AI algorithms, such as Deep Learning
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Chen, Xiangfeng, author.
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routing algorithms are demonstrated. Simulation results are compared with fabricated devices. Applications
by
Rathore, Uneeb Yaqub, author.
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simple compilers and should support efficient in-field deployment of new algorithms.
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Lee, Justin, author.
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develop and test three novel computational imaging algorithms including, to the best of our knowledge, the
by
Al-Dabooni, Seaar Jawad Kadhim, author.
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-difference (TD(0)) and n-step TD (TD(lambda)) with their gradients are utilized as learning algorithms to train
by
Sun, Xueliang, author.
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grain states interactively and iteratively. The algorithms pass messages of graph region based beliefs
by
Si, Bing, author.
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health care and develop novel statistical models and machine learning algorithms to tackle these problems
by
Chati, Yashovardhan Sushil, author.
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particular phase or the entire trajectory). The new model architecture uses supervised learning algorithms to
by
Acker, Matthew R., author.
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current control algorithms. These problems include turbine wake interaction and required spacing between
by
Lee, Jeong Eun, author.
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algorithms are developed which determine the best match between measurement data and database information
by
Tiryakioglu, Seyma Sehriban, author.
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traditional and DSI results, operations conducted using genetic algorithms produce both higher firm energy and
by
Prince, Gregary B., author.
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, as well as (4) trilateration and triangulation positioning algorithms.
by
Gomes, Jorge Miguel Carvalho, author.
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robotics systems. Cooperative coevolutionary algorithms (CCEAs) are a type of evolutionary algorithm that
by
Gomes, Luís Manuel dos Santos, author.
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. The topics of these lines of research are statistical machine translation, algorithms and data
by
Bangaru, Srikanth Sagar, author.
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vegetation removal and downsampling algorithms on displacement change. For this study, the data was collected
by
Boda, Vinay Praneeth, author.
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Bayesian and nonBayesian settings. We also provide optimal reconstruction algorithms, of reduced complexity
by
Hitomi, Nozomi, author. (orcid)0000-0001-8568-1690
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tradespace. In particular, multiobjective evolutionary algorithms (MOEA) have shown promise on DSM design
by
Ndip-Agbor, Ebot E., author.
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automatically using traversal algorithms. Different toolpath strategies were successfully generated and tested
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
Hong, Zihan, author.
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local data may be available, (3) proposing data-mining algorithms for the vehicle trajectory data to
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