Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

The structure diagram of the BS-CP algorithm. by Jiaqi Liu (309587)

“…We first present the BS-CP1 algorithm, which is an efficient implementation using assumed density filtering (ADF). …”

Information on published tensor decomposition algorithms. by Jiaqi Liu (309587)

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

Task paradigm and classification algorithm. by Alexander P. Rockhill (6053618)

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”

Research data. by Dominique Vincent-Genod (20552594)

Illustration of recording paradigm with PyNoetic’s Stimuli generation and recording module. by Gursimran Singh (575288)

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Statistical details of data presented in Fig 16. by Piotr Popik (292215)

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Statistical details of data presented in Fig 17. by Piotr Popik (292215)

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Pearson correlation coefficient for this specific 10 second subset is 0.61, though the whole 12 min recording scores a 0.50. by Nicholas A. Rondoni (21573261)

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The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

Four example recordings analysed by the algorithm. by Andrew McDonald (2307400)

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TreeMap 2016 Forest Type Algorithm (Image Service) by U.S. Forest Service (17476914)

“…We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …”

The relationship between the number of nodes and the time consuming of the BS-CP2 algorithm is shown here as dataset Beijing-15k, when R = 3,5,8,10. by Jiaqi Liu (309587)

TreeMap 2016 Stand Size Code Algorithm (Image Service) by U.S. Forest Service (17476914)

“…We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …”

TreeMap 2016 Forest Type Name Algorithm (Image Service) by U.S. Forest Service (17476914)

“…We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …”

Comparison of PDOP values between the present algorithm and the conventional algorithm at 1/4 r/s. by Jiahui Gan (22793753)

A Dataset of Curie and Neel Temperatures auto-generated with ChemDataExtractor and the Snowball Algorithm by Charles Kelly (21712413)

Reverence to the Winds by Woodson Renick Bell (18042661)

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