Results 11 to 20 of about 11,895,834 (312)
THE COMPARISON OF DRAINAGE NETWORK EXTRACTION BETWEEN SQUARE AND HEXAGONAL GRID-BASED DEM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 The automatic extraction of valleys or ridges from DEM is a long term topic in the GIS and hydrology fields and a number of algorithms have been developed.
L. Wang, T. Ai
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Towards a process-driven network analysis
Applied Network Science, 2020 A popular approach for understanding complex systems is a network analytic one: the system’s entities and their interactions are represented by a graph structure such that readily available methods suitable for graph structures can be applied.
Mareike Bockholt, Katharina Anna Zweig
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BJPsych Open, 2020 BackgroundElectroconvulsive therapy (ECT) is recommended in treatment guidelines as an efficacious therapy for treatment-resistant depression. However, it has been associated with loss of autobiographical memory and short-term reduction in new learning ...
Richard J. Porter +12 more
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Algorithm for positive realization of transfer functions [PDF]
, 2003 The aim of this brief is to present a finite-step algorithm for the positive realization of a rational transfer function H(z). In comparision with previously described algorithms we emphasize that we do not make an a priori assumption on (but, instead,
Matolcsi, Máté, Nagy, Béla
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Efficient Algorithms for the Maximum Sum Problems
Algorithms, 2017 We present efficient sequential and parallel algorithms for the maximum sum (MS) problem, which is to maximize the sum of some shape in the data array.
Sung Eun Bae +2 more
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Cellpose: a generalist algorithm for cellular segmentation
Nature Methods, 2020 Many biological applications require the segmentation of cell bodies, membranes and nuclei from microscopy images. Deep learning has enabled great progress on this problem, but current methods are specialized for images that have large training datasets.
C. Stringer +3 more
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Algorithms and Regulation [PDF]
, 2021 New technologies have always challenged the social, economic, legal, and ideological status quo. Constitutional law is no less impacted by such technologically driven transformations, as the state must formulate a legal response to new technologies and their market applications, as well as the state’s own use of new technology.
Reichman, Amnon, Sartor, Giovanni
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Journal of the American Medical Association (JAMA), 2016 Importance Deep learning is a family of computational methods that allow an algorithm to program itself by learning from a large set of examples that demonstrate the desired behavior, removing the need to specify rules explicitly.
Varun Gulshan +14 more
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Sheet-metal press line parameter tuning using a combined DIRECT and Nelder-Mead algorithm [PDF]
, 2011 It is a great challenge to obtain an efficient algorithm for global optimisation of nonlinear, nonconvex and high dimensional objective functions. This paper shows how the combination of DIRECT and Nelder-Mead algorithms can improve the efficiency in the
Bengt Lennartson +4 more
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Dynamic Channel Modeling for an Indoor Scenario at 23.5 GHz
IEEE Access, 2015 In this paper, the dynamic channel characteristics at 23.5 GHz in an indoor scenario are investigated according to measurement and deterministic simulation.
Nan Zhang +6 more
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