Restoration process via Algorithm 1. حسب Dilber Uzun Ozsahin (18320075)

الموضوعات: "…Cell Biology…"

As for Fig 2, we present failure rates as a function of the cohort size (vertical axis) versus the number of distractors (horizontal axis), for the Smyth and McClave baseline algor... حسب Daniela Huppenkothen (9174507)

Convergence curves of the investigated algorithms. حسب Ziad M. Ali (12516532)

الموضوعات:

Completion times for different algorithms. حسب Jianbin Zheng (587000)

"…In the context of intelligent manufacturing, there is still significant potential for improving the productivity of riveting and welding tasks in existing H-beam riveting and welding work cells. In response to the multi-agent system of the H-beam riveting and welding work cell, a recurrent multi-agent proximal policy optimization algorithm (rMAPPO) is proposed to address the multi-agent scheduling problem in the H-beam processing. …"

The average cumulative reward of algorithms. حسب Jianbin Zheng (587000)

"…In the context of intelligent manufacturing, there is still significant potential for improving the productivity of riveting and welding tasks in existing H-beam riveting and welding work cells. In response to the multi-agent system of the H-beam riveting and welding work cell, a recurrent multi-agent proximal policy optimization algorithm (rMAPPO) is proposed to address the multi-agent scheduling problem in the H-beam processing. …"

Study proposed algorithm. حسب Ainhoa Pérez-Guerrero (21377457)

الموضوعات:

The repair algorithm restores the electrophysiological behaviour of cut and repaired mouse pyramidal cells and allows for better predictions of neuronal function in human neurons. حسب Moritz Groden (18018276)

Significantly changed metabolic clusters corresponding anatomic/functional regions. حسب Xiaofei Wang (135107)

Working scheme of the smooth-index algorithm. حسب Alexander Borst (32619)

الموضوعات:

Example performance of the smooth-index algorithm. حسب Alexander Borst (32619)

الموضوعات:

Pseudo live-stream of EEG data is processed through the flow chart: after channel selection, each epoch undergoes Kaiser windowing (length = 250), followed by re-referencing to the... حسب Gursimran Singh (575288)

الموضوعات:

PyNoetic’s online mode in action. Data is streamed from an Emotiv EPOC headset. حسب Gursimran Singh (575288)

الموضوعات:

Illustration of PyNoetic’s 2D and 3D simulation module with visual feedback. حسب Gursimran Singh (575288)

الموضوعات:

PyNoetic’s unique pick-place configurable flowchart that offers a no-code option for non-programmers. حسب Gursimran Singh (575288)

الموضوعات:

PyNoetic’s feature extraction module that supports time domain features, frequency domain features, time-frequency domain features, spatial features as well as Brain Connectivity m... حسب Gursimran Singh (575288)

الموضوعات:

Pseudo live-stream of EEG data is generated, and a simple pick-and-place flowchart is designed for channel selection and filtering. حسب Gursimran Singh (575288)

الموضوعات:

List of Abbreviations حسب Gursimran Singh (575288)

الموضوعات:

PyNoetic’s stimuli generation and recording module, which supports both ERP and SSVEP. حسب Gursimran Singh (575288)

الموضوعات:

PyNoetic’s channel selection module, which supports various channel selection criteria including CSP, correlation, Mutual Information, and Chi-squared. حسب Gursimran Singh (575288)

الموضوعات:

Tunable parameters in stimuli generation module. ^<i>a</i>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></su... حسب Gursimran Singh (575288)

الموضوعات: