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

S1 Dataset - by Ruochen Zhang (3434996)

“…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. Experimental results have proved that the presented method is capable of solving this problem efficiently, where a uniform distribution of solutions on the Pareto-optional front can be generated. …”

Statistical tests of ACC on the random network. by Ruochen Zhang (3434996)

“…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. Experimental results have proved that the presented method is capable of solving this problem efficiently, where a uniform distribution of solutions on the Pareto-optional front can be generated. …”

Parameters in the experiment. by Ruochen Zhang (3434996)

“…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. Experimental results have proved that the presented method is capable of solving this problem efficiently, where a uniform distribution of solutions on the Pareto-optional front can be generated. …”

Statistical tests of APL on the random network. by Ruochen Zhang (3434996)

“…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. Experimental results have proved that the presented method is capable of solving this problem efficiently, where a uniform distribution of solutions on the Pareto-optional front can be generated. …”

Statistical tests of ACC on the regular network. by Ruochen Zhang (3434996)

“…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. Experimental results have proved that the presented method is capable of solving this problem efficiently, where a uniform distribution of solutions on the Pareto-optional front can be generated. …”

Statistical tests of APL on the regular network. by Ruochen Zhang (3434996)

“…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. Experimental results have proved that the presented method is capable of solving this problem efficiently, where a uniform distribution of solutions on the Pareto-optional front can be generated. …”

Performance comparison of NGNDG-AF, ReLU and ELU. by Ali Raza (3558965)

“…Model training involved the use of two optimization functions (<i>RMSprop</i> and <i>Adam</i>) and <i>NGNDG-AF</i> activation functions. …”

AUC of ResNet152V2 CNN with Adam for <i>β</i> = 1. by Ali Raza (3558965)

“…Model training involved the use of two optimization functions (<i>RMSprop</i> and <i>Adam</i>) and <i>NGNDG-AF</i> activation functions. …”

AUC of optimized CNN with Adam for <i>β</i> = 1. by Ali Raza (3558965)

“…Model training involved the use of two optimization functions (<i>RMSprop</i> and <i>Adam</i>) and <i>NGNDG-AF</i> activation functions. …”

Entry Point byte frequency by Paul A. Gagniuc (1818325)

Example display of the only tab, <i>Text-mining</i>, in the <i>Examine</i> section of the application for extraction and display of information from free-text wildlife necropsy dat... by Stefan Saverimuttu (20882325)

Pose estimation accuracy. by Weheliye H. Weheliye (22022140)

“…Tierpsy only uses CPU computation while Omnipose uses GPU and CPU because we use Tierpsy’s skeletonization algorithm to convert segmented regions to skeletons.…”

Skipping frames and interpolating skeletons with a spline achieves similar accuracy and faster computational time. by Weheliye H. Weheliye (22022140)

“…(C) Computation time per input frame for the different models as a function of worm number. Tierpsy only uses CPU computation while Omnipose uses GPU and CPU because we use Tierpsy’s skeletonization algorithm to convert segmented regions to skeletons. …”

Clinical characteristics of the participants. by Yuki Takagi (9647692)

“…In the evaluation of residual visual field, IMOvifa™ 24plus (1-2) detected residual visual function in 100% of cases where HFA 10-2 indicated residual function.…”

Illustration of the advection, diffusion and linear transport configuration studied in the article. by Loris Ibarrart (15195203)

Accuracy of the single-best-cell WTA. by Ori Hendler (21262937)

2024 IEEE International Conference on Data Mining Workshops (ICDMW-SSTDM)- Sirius: A density-based colocation mining framework for sets of continuous spatial variables by Md Mahin (21434966)

“…The goal is to identify sets of continuous variables where continuous variables with values from the wings of their statistical distribution are colocated. …”

Hippocampal and cortical activity reflect early hyperexcitability in an Alzheimer's mouse model by Marina Diachenko (19739092)

“…</p><p dir="ltr">All data are available upon request. The standalone Python implementation of the fE/I algorithm is available under a CC-BY-NC-SA license at <a href="https://github.com/arthur-ervin/crosci" target="_blank">https://github.com/arthur-ervin/crosci</a>. …”

A neurodynamic approach for a class of pseudoconvex semivectorial bilevel optimization problems by Tran Ngoc Thang (21413733)

“…<p>The article proposes an exact approach to finding the global solution of a nonconvex semivectorial bilevel optimization problem, where the objective functions at each level are pseudoconvex, and the constraints are quasiconvex. …”