The number of inactive nodes as a function of time steps in (a) a random network and (b) a scale-free network. حسب Waseem Al-Aqqad (14123917)

Variations of loss functions versus epoch number. حسب Xueliang Guo (4797057)

The number of inactive nodes as a function of time steps at higher values of <i>P</i> and <i>α</i> in (a) a random network and (b) a scale-free network. حسب Waseem Al-Aqqad (14123917)

Variance of local fields versus mean of local fields for (a) , (b) . حسب Ali Talebi (7164203)

Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures. حسب Kevin Sawade (16726527)

Reconstructing <i>sparse</i>, binary patterns using message passing algorithms and PCA. حسب Sebastian Goldt (14522594)

Data_Sheet_1_Comparison of Resting-State Functional MRI Methods for Characterizing Brain Dynamics.DOCX حسب Eric Maltbie (445150)

Video_1_Comparison of Resting-State Functional MRI Methods for Characterizing Brain Dynamics.MP4 حسب Eric Maltbie (445150)

Summary: Dipole-spread-function engineering for simultaneously measuring the 3D orientations and 3D positions of fluorescent molecules حسب Tingting Wu (21440889)

Flowchart of BWEMFO. حسب Jingjing Ma (419752)

Various MFOs from three mechanisms. حسب Jingjing Ma (419752)

The flowchart of MFO. حسب Jingjing Ma (419752)

Parameters. حسب Jingjing Ma (419752)

Decoding results. حسب Sam Hall-McMaster (10343795)

Experimental design of mechanism combinations. حسب Qiong Wu (84327)

"…The best classification model (SGHHO-KNN) is developed to mine the key features with the improvement of both strategies. To assess the exceptional efficacy of the SGHHO algorithm, this investigation conducted a series of comparative trials employing the function set of IEEE CEC 2014. …"

Flowchart of SGHHO. حسب Qiong Wu (84327)

"…The best classification model (SGHHO-KNN) is developed to mine the key features with the improvement of both strategies. To assess the exceptional efficacy of the SGHHO algorithm, this investigation conducted a series of comparative trials employing the function set of IEEE CEC 2014. …"

Framework structure of SGHHO-KNN. حسب Qiong Wu (84327)

"…The best classification model (SGHHO-KNN) is developed to mine the key features with the improvement of both strategies. To assess the exceptional efficacy of the SGHHO algorithm, this investigation conducted a series of comparative trials employing the function set of IEEE CEC 2014. …"

Parameter setting for 10 metaheuristics. حسب Qiong Wu (84327)

"…The best classification model (SGHHO-KNN) is developed to mine the key features with the improvement of both strategies. To assess the exceptional efficacy of the SGHHO algorithm, this investigation conducted a series of comparative trials employing the function set of IEEE CEC 2014. …"

Descriptions of each attribute. حسب Qiong Wu (84327)

"…The best classification model (SGHHO-KNN) is developed to mine the key features with the improvement of both strategies. To assess the exceptional efficacy of the SGHHO algorithm, this investigation conducted a series of comparative trials employing the function set of IEEE CEC 2014. …"

Deep Learning-Based Multi-Scale Bubble Detection and Feature Analysis حسب Lichun Bai (6684683)