Table_1_Improved motor imagery classification using adaptive spatial filters based on particle swarm optimization algorithm.docx by Xiong Xiong (721323)

“…Compared with the baseline algorithm, filter bank common spatial pattern (FBCSP), the proposed algorithm improves by 11.44 and 7.11% on two datasets, respectively (p < 0.05).…”

Overview of the modeling approach using Marxan optimization algorithm. by Boris Salak (18340030)

UIQI of the results of each algorithm. by Haiyan Zhang (176919)

“…This algorithm begins by evaluating the noise content of pixels to be denoised based on their temporal and spatial stability, classifying them into strong noise, weak noise, and noise-free pixels. …”

PSNR of the results of each algorithm. by Haiyan Zhang (176919)

“…This algorithm begins by evaluating the noise content of pixels to be denoised based on their temporal and spatial stability, classifying them into strong noise, weak noise, and noise-free pixels. …”

Running time of each algorithm. by Haiyan Zhang (176919)

“…This algorithm begins by evaluating the noise content of pixels to be denoised based on their temporal and spatial stability, classifying them into strong noise, weak noise, and noise-free pixels. …”

Algorithm deployment platform build. by Jie Wang (16762)

Spatial stratification of each spatial domain cluster elucidating endothelial cell invasion into the tumor. by Shunsuke A. Sakai (13789939)

SSI of the filtering results for the complete image of each algorithm. by Haiyan Zhang (176919)

Training results of each algorithm on the DOTA dataset. by Xuhui Liu (546025)

ENL of homogeneous regions within the filtering results of each algorithm. by Haiyan Zhang (176919)

Annotation of the spatial domain using the STAGATE algorithm. by Shunsuke A. Sakai (13789939)

DataSheet_2_How artificial potential field algorithms can help to simulate trade-offs in movement behaviour of reef fishes.docx by Maren Kruse (14268656)

“…</p>Methods<p>In a novel approach, we combine individual-based modelling (IBM) with an artificial potential field algorithm to realistically represent fish movements and the decision-making process. …”

DataSheet_1_How artificial potential field algorithms can help to simulate trade-offs in movement behaviour of reef fishes.docx by Maren Kruse (14268656)

“…</p>Methods<p>In a novel approach, we combine individual-based modelling (IBM) with an artificial potential field algorithm to realistically represent fish movements and the decision-making process. …”

DataSheet_3_How artificial potential field algorithms can help to simulate trade-offs in movement behaviour of reef fishes.docx by Maren Kruse (14268656)

“…</p>Methods<p>In a novel approach, we combine individual-based modelling (IBM) with an artificial potential field algorithm to realistically represent fish movements and the decision-making process. …”

SpatialKNifeY analysis landscape. by Shunsuke A. Sakai (13789939)

Detection results of each category. by Bo Tong (2138632)

Silhouette scores for each clustering algorithm. by Zoïe W. Alexiou (21989297)

Decision-making model for location selection of tourism and leisure facilities. by Shifeng Wu (16612230)

Subjects:

Two-dimensional spatial classification data. by Mingyang Deng (504326)

Flow diagram of forest management decision-making process using Habplan and <i>HabplanR</i>. by Max D. Jones (6269006)