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. …"

Comparison of deconvolution and optimization algorithms on a batch of data. حسب 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). …"

Simulation settings of rMAPPO algorithm. 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. …"

Antihypertensive treatment algorithm. حسب Kira Bang Bove (9607123)

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

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

"…<p>(A) 3 algorithms were compared in terms of the residuals of the cost function of the optimized TF on 7 mice datasets (Derivative free algorithm failed in optimizing a TF in a mouse). …"

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

Flow chart diagram of blind quantum algorithm. حسب Sultan H. Almotiri (14029251)

"…Our study addresses five major components of the quantum method to overcome these challenges: lattice-based cryptography, fully homomorphic algorithms, quantum key distribution, quantum hash functions, and blind quantum algorithms. …"

Overview of algorithm. حسب Takayuki Niizato (162226)

Flow chart diagram of quantum hash function. حسب Sultan H. Almotiri (14029251)

"…Our study addresses five major components of the quantum method to overcome these challenges: lattice-based cryptography, fully homomorphic algorithms, quantum key distribution, quantum hash functions, and blind quantum algorithms. …"

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

Patient flow chart. حسب Stephan Ellmann (314565)

الموضوعات: "…Cell Biology…"

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

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

الموضوعات:

Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. حسب Francisco Páscoa dos Santos (16510676)

"…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …"

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

الموضوعات:

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

الموضوعات:

Model intrinsic parameter flow. حسب Dawei Wang (471687)

"…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …"

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