Five segments obtained by the change-point detection algorithm in House 55. حسب Yan Wang (15435)

الموضوعات: "…change-point detection algorithm…"

Optimization results of different algorithms. حسب Haijian Wang (746739)

"…Subsequently, the constraint conditions and objective functions were determined. Moreover, the multi-objective genetic algorithm optimized the structural block brake design. …"

Steering system model. حسب Honglei Pang (22693724)

الموضوعات:

Braking system model. حسب Honglei Pang (22693724)

الموضوعات:

Run times of two algorithms. حسب Gourab Saha (8987405)

الموضوعات:

The optimal contact/quarantine rates from the family of functions (4) and (5) for Hainan and Xinjiang. حسب Mengqi He (5753525)

الموضوعات:

Confusion matrix of discriminant function analysis. حسب Thiago Orion Simões Amorim (6808244)

الموضوعات:

The K-expression of CP-EE model. حسب Jin Ding (11522)

الموضوعات:

Comparative analysis of the change of the loss function with the number of iterations k under different strategies. حسب Ming Li (91180)

Results of test functions (F12–15) with fixed dimensions. حسب Dingming Yang (8505990)

الموضوعات:

A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm. حسب Boluwatife Ikwunne (22238697)

The optimal contact/quarantine rates from the family of functions (4) and (5) for Xi’an, Guangzhou and Yangzhou. حسب Mengqi He (5753525)

الموضوعات:

The optimal path in the improvement gird map using FIQL algorithm. حسب Bing Hao (2095699)

الموضوعات:

Membership function. حسب Bo Zhao (13553)

Optimization flow chart of the AO algorithm. حسب Haijian Wang (746739)

"…Subsequently, the constraint conditions and objective functions were determined. Moreover, the multi-objective genetic algorithm optimized the structural block brake design. …"

Verification of the in-line PS function. حسب Raul Castañeda (13932971)

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. …"

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data حسب Jean-Christophe Lachance (6619307)

"…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …"

Comparison of average precision mean and loss function for different models. حسب Ting Wang (16292)

Characteristic chart of algorithm efficiency. حسب Wang Xiaoqian (10502222)