In this article we propose a new insight into the field of feed-forward neural network modeling.
In this paper, we propose a novel insight for detecting memory corruption at the binary level by identifying the misuses of input data and present an exploit diagnosis approach called deExploit.
These results may contribute to better understanding of the mechanism from steatosis to steatohepatitis, and propose a novel insight into the prevention and treatment of NAFLD.
Finally, we propose a new insight into the evolution of the accessory genome of both C. coli and C. jejuni, which should be exploited further with other dispensable genes.
With this insight, we propose an alternate solution for power-efficient processor design using pipelining concept called variable stage pipelining (VSP).
Based on this insight, we propose an in-hand slip detection architecture that is able to adapt to the current robot's actions at run time.
Based on these insights, we propose an optimization model that addresses the mutual dependence of shelf-space decisions and replenishment processes.
In addition to the contribution to the space effect, we proposed a new insight to the role of zirconium atoms as carriers for the oxygen transfer, although further investigation is necessary.
It also proposes a further insight: that both those who move, and those who do not move, may find themselves trapped and vulnerable in the face of such extreme events.
Our paper proposes a new insight into the possibility of application of common wood-destroying fungus C. unicolor as a source of three fractions of potentially bioactive metabolites: extracellular laccase (ex-LAC), intracellular nonpurified polysaccharides (c-EPL), and a low molecular weight subfraction of extracellular metabolites (ex-LMS).
We propose a methodology that provides insight into the underlying regulation of estrogen responsive ESCC genes.
