Comparison of deconvolution and optimization algorithms on a batch of data. by Ali-Kemal Aydin (10968731)

“…Both experimental data have been resampled at 50ms and used to compute a set of TFs (in orange) either with direct deconvolution approaches (Fourier or Toeplitz methods, middle-upper panel TFs) or with 1-Γ function optimization performed by 3 different algorithms (middle-lower panel TFs). …”

Prediction performance of different optimization algorithms. by Ali-Kemal Aydin (10968731)

Framework of the proposed signal control algorithm. by Hyosun Lee (1567246)

A flow diagram to explain the algorithm named 2BDP (Biomarker Discovery Process at Binomial Decision Point) that we used to find the best fitting model to predict RRiF. by Nabarun Chakraborty (535772)

Antihypertensive treatment algorithm. by Kira Bang Bove (9607123)

Details of path flows and path travel times by the proposed algorithms. by C. K. Wong (3224922)

Completion times for different algorithms. by 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. by 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. …”

(a) Flow chart for PSO algorithm (b) position and velocity update of particles (c) convergence of PSO. by Waqas Anjum (8415186)

Overview of algorithm. by Takayuki Niizato (162226)

Simulation settings of rMAPPO algorithm. by 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. …”

Overview of the Cell2Spatial algorithm. by Huamei Li (8815955)

Subjects: “…Cell Biology…”

Workflow of algorithm for whole brain flow simulation. by Erlend Hodneland (391541)

Patient flow chart. by Stephan Ellmann (314565)

Subjects: “…Cell Biology…”

Function <i>χ</i>_<i>opt</i> superimposed with the phase-field function indicating the channel geometry. by Martina Bukač (20161460)

Schematic representation of the edge-cutting algorithm. by Pratik Mullick (12851011)

Subjects:

Pictorial representation of the edge-cutting algorithm. by Pratik Mullick (12851011)

Subjects:

HIV exposure risk algorithm. HIV exposure risk algorithm based on available data from the Tonse Padmozi trial. by Anna M. Leone (22486372)

Algorithm of the scale-free induced subgroup. by Takayuki Niizato (162226)

The phase-field function for three different network configurations considered in this work. by Martina Bukač (20161460)