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A machine learning approach allows us to consider 1000s of manually detected struts to optimize our algorithm, a process impossible with manually optimized algorithms.
To perform the described analysis steps and more, GensearchNGS provides a complete software suite focusing on optimized algorithms and usage of distributed computing for optimal usage of the existing infrastructure.
Optimized algorithms can potentially be implemented in future aerial N uptake monitoring by hyperspectral sensing.
In addition, one of the reason of such failure is high involvement of humans to design sophisticated and optimized algorithms based on machine and deep learning techniques.
A series of optimized algorithms have been developed for documenting biophysical activities, using a physically based approach (specifically, to estimate Fraction of Absorbed Photosynthetically Active Radiation (FAPAR)) for various instruments.
Experiments through comparison with SimRank and its optimized algorithms demonstrate that WebSim has on average a 99.83% reduction in the time cost and a 92.12% reduction in the space cost of similarity computation, and achieves on average 99.98% NDCG.
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This paper proposes an online dynamically optimized algorithm for optimal variable charge-rate scheduling of PEVs based on coordinated aggregated particle swarm optimization (CAPSO).
However, the paper presents an optimized algorithm that finds the optimal solution without having to explore the entire solution space.
Design an optimized algorithm for a specific combinatorial class.
In this talk I will detail an effort that expresses the original (but optimized) algorithm as an ILP.
Then we suggest an optimized algorithm for adapting the mesh during the evolution of the solution towards the equilibrium state.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com