The algorithm to define the study population. by Michael C. Reed (6622226)

The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Scatter diagram of different principal elements. by Jizhong Wang (7441697)

Description of the dataset used for the machine learning algorithm. by Tri Ngo Quang (20390189)

Technical route of DKCDC algorithm. by Qin Zheng (459608)

Subjects:

Solving the multi-commodity flow problem using an evolutionary routing algorithm in a computer network environment by Noel Farrugia (19945083)

“…Most of the current deployed networks are not doing so due to their use of single path routing algorithms. In this work we propose the use of a multipath capable routing algorithm using Evolutionary Algorithms (EAs) that takes into account all the traffic going over the network and the link capacities by leveraging the information available at the Software Defined Networks (SDN) controller. …”

The overall flow chart of DKCDC algorithm. by Qin Zheng (459608)

Subjects:

Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. by Yuanchen Zhao (12905580)

Table 4_Biomarkers in glioblastoma and degenerative CNS diseases: defining new advances in clinical usefulness and therapeutic molecular target.xlsx by Fan Bu (1563562)

Table 3_Biomarkers in glioblastoma and degenerative CNS diseases: defining new advances in clinical usefulness and therapeutic molecular target.xlsx by Fan Bu (1563562)

Table 1_Biomarkers in glioblastoma and degenerative CNS diseases: defining new advances in clinical usefulness and therapeutic molecular target.docx by Fan Bu (1563562)

Table 2_Biomarkers in glioblastoma and degenerative CNS diseases: defining new advances in clinical usefulness and therapeutic molecular target.xlsx by Fan Bu (1563562)

Baselines defined for the evaluation of the participants. by Diana Ramírez-Cifuentes (20700054)

Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Element model generation method with geometric distribution errors by Yiqi Liu (21357815)

“…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”

Image 1_Age-enhanced MAGIC algorithm predicts mortality in pediatric aGVHD: a multicenter study.tif by Na Song (309775)

“…Introduction<p>Acute graft-versus-host disease (aGVHD) is a major contributor to non-relapse mortality (NRM) in pediatric patients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT). Although the MAGIC algorithm has been validated in adults, its predictive value in children remains insufficiently explored.…”

Poiseillle duct results. Comparison of the temperature obtained with Comsol Multiphysics and the Monte Algorithm for the configuration defined in Fig 8. by Loris Ibarrart (15195203)

Performance of machine learning algorithms. by Wenxue Liu (6877754)