Payoff spaces under <i>D</i>_<i>i</i> combinations where behavioral switching occurred and under all other <i>D</i>_<i>i</i> combinations of non-behavioral swit... by Hiroyuki Ichijo (13891153)

Backbone dimension () as a function of relative age (). by Jonathan E Kings (20818367)

Test function convergence curve. by Anqi Jiang (4583380)

“…The proposed improved Frank Wolfe algorithm can converge at around 30 iterations, with a convergence limit of around 10^-4, which is superior to the traditional Frank Wolfe algorithm. …”

Numerical solution of nano-particles in fluid. by Salima Kouser (21416698)

“…The efficiency index of our method is 4^1/2 = 2 which is higher than that of the Newton method 2^1/2 = 1.4142. To quantify the functionality of our proposed algorithm, we have performed extensive numerical testing on a collection of test problems with quadratic nonlinearity.…”

Numerical solution of Blasius equation. by Salima Kouser (21416698)

“…The efficiency index of our method is 4^1/2 = 2 which is higher than that of the Newton method 2^1/2 = 1.4142. To quantify the functionality of our proposed algorithm, we have performed extensive numerical testing on a collection of test problems with quadratic nonlinearity.…”

Business priorities. by Yang Yu (4292)

“…This paper introduces an Intelligent Tuning Method for Service Scheduling in Electric Power Communication Networks Based on Operational Risk and Quality of Service (QoS) Guarantee. Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. …”

Topology of 14-node communication network. by Yang Yu (4292)

“…This paper introduces an Intelligent Tuning Method for Service Scheduling in Electric Power Communication Networks Based on Operational Risk and Quality of Service (QoS) Guarantee. Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. …”

Routing policy based on path satisfaction. by Yang Yu (4292)

“…This paper introduces an Intelligent Tuning Method for Service Scheduling in Electric Power Communication Networks Based on Operational Risk and Quality of Service (QoS) Guarantee. Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. …”

Changes of risk value under different parameters. by Yang Yu (4292)

“…This paper introduces an Intelligent Tuning Method for Service Scheduling in Electric Power Communication Networks Based on Operational Risk and Quality of Service (QoS) Guarantee. Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. …”

Performance of active and standby paths. by Yang Yu (4292)

“…This paper introduces an Intelligent Tuning Method for Service Scheduling in Electric Power Communication Networks Based on Operational Risk and Quality of Service (QoS) Guarantee. Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. …”

DATA. by Yang Yu (4292)

“…This paper introduces an Intelligent Tuning Method for Service Scheduling in Electric Power Communication Networks Based on Operational Risk and Quality of Service (QoS) Guarantee. Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. …”

The denoising results yielded by different algorithms. by Limin Ma (556873)

State Function-Based Correction: A Simple and Efficient Free-Energy Correction Algorithm for Large-Scale Relative Binding Free-Energy Calculations by Runduo Liu (10756379)

Streamfunction calculated by QA with different with different grid resolutions Streamfunction averaged over 10 runs from QA (shading) and the “true” solution (black contour lines)... by Takuro Matsuta (21608505)

Search algorithm performance comparison. by Zhaohui Du (414105)

Comparison results of the loss functions. by Jia Li (160557)

“…To address this problem, this paper proposes a YOLOv8-based insulator defect detection algorithm, YOLOv8-SSF. …”

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

“…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 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. …”

Loss function variation curve. by Chunhua Yang (346871)

“…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”

What constitutes an obstructive ventilatory impairment in a pediatric population? A comparative study of five definitions by scholarly societies by Mariem Abdesalem (22677712)