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Christopher T. Nietch, Leslie Gains-Germain, James Lazorchak, Scott P. Keely, Gregory Youngstrom, Emilee M. Urichich, Brian Astifan, Abram DaSilva and Heather Mayfield
A data-driven approach to characterizing the risk of cyanobacteria-based harmful algal blooms (cyanoHABs) was undertaken for the Ohio River. Twenty-five years of river discharge data were used to develop Bayesian regression models that are currently appl...
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Salman Lari, Sang Wook Han, Jong Uk Kim and Hyock Ju Kwon
High-intensity focused ultrasound (HIFU) is a non-invasive medical procedure, which is mainly used to ablate tumors externally by focusing on them with high-frequency ultrasound. Because a single ablation can process only a small volume of tissue, a succ...
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Sepehr Tabrizchi, Shaahin Angizi and Arman Roohi
Convolutional Neural Networks (CNNs), due to their recent successes, have gained lots of attention in various vision-based applications. They have proven to produce incredible results, especially on big data, that require high processing demands. However...
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Mohd Hafizuddin Bin Kamilin, Mohd Anuaruddin Bin Ahmadon and Shingo Yamaguchi
In this journal, we proposed a novel method of using multi-task learning to switch the scheduling algorithm. With multi-task learning to change the scheduling algorithm inside the scheduling framework, the scheduling framework can create a scheduler with...
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Dmitriy Shishlyannikov and Ivan Zvonarev
The creation of modern machines and improvement of existing designs of rock cutting bodies of combines is constrained by the lack of experimental studies of the process of separation of successive elementary cleavages during the potash ore cutting with c...
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