Convergence curve of each DSM algorithms. حسب Manoj Kumar V. (18196645)

"…In this work, a DSM algorithm has been developed with appropriate objective functions and necessary constraints, including the EV load, distributed generation from Solar Photo Voltaic (PV), and Battery Energy Storage Systems. …"

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

Log-likelihood as a function of the number of selected edges on the chain graph dataset (black dashed line: The true number of edges). حسب Tomokaze Shiratori (9635271)

الموضوعات:

Log-likelihood as a function of the number of selected edges on the random graph dataset (black dashed line: The true number of edges). حسب Tomokaze Shiratori (9635271)

الموضوعات:

Parameters of NSGA-II algorithm. حسب Shangyang Jin (21772466)

"…Thus, a combination algorithm optimization strategy for metamaterials in terms of multiple structural parameters is proposed in this paper based on a co-simulation approach. …"

Visualization of 12 benchmarking functions. حسب Chuang Zhang (2199421)

"…In this paper, 12 benchmark test functions and 8 other newer swarm intelligence algorithms are compared in terms of convergence speed and convergence accuracy to evaluate the performance of the MSIPOA algorithm. …"

a) FO Function, b) FI function. حسب Huang Jiexian (17060975)

"…The SRL32 primitive (Reconfigurable Look up Tables—RLUTs) and DPR (Dynamic Partial Reconfiguration) are employed to reconfigure single round MISTY1 / KASUMI algorithms on the run-time. The RLUT based architecture attains dynamic logic functionality without extra hardware resources by internally modifying the LUT contents. …"

Convergence curve of each test function. حسب Tianrui Zhang (2294542)

"…Second, a multi-objective fuzzy affiliation function is constructed to measure the quality of the model solution in terms of the overall satisfaction value. …"

Adaptive H-REMD simulation algorithm. حسب Danial Pourjafar-Dehkordi (7165523)

Parameters of the proposed algorithm. حسب Heba Askr (15572851)

"…First, MaAVOA was applied to the DTLZ functions, and its performance was compared to that of several popular many-objective algorithms and according to the results, MaAVOA outperforms the competitor algorithms in terms of inverted generational distance and hypervolume performance measures and has a beneficial adaptation ability in terms of both convergence and diversity performance measures. …"

A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density. حسب Hassan Mehboob (8960273)

"…<p>A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density.…"

Comparison of flux densities between algorithms by model in terms of the KL divergence. حسب Shirin Fallahi (5567522)

F1 obtained for PFP-WGAN and DeepGO-Seq for GO terms as a function of number of available positive training samples. حسب Seyyede Fatemeh Seyyedsalehi (10196767)

الموضوعات:

Improved BP network algorithm flow. حسب Wang Xiaoqian (10502222)

Data from: Structural and Functional Analysis of Multi-interface Domains حسب ZHAO Liang (8657694)

"…This work applies graph theory and algorithms to discover fingerprints for the multiple interfaces of a domain and to establish associations between the interfaces and functions, based on a huge set of multi-interface proteins from PDB. …"

Parameters of muti-island genetic algorithm. حسب Shangyang Jin (21772466)

"…Thus, a combination algorithm optimization strategy for metamaterials in terms of multiple structural parameters is proposed in this paper based on a co-simulation approach. …"

Changes in FID values of different algorithms. حسب Xiaojun Wang (50332)

"…The results show that when running on the Monet2photo dataset, when the system iterates to 72 times, the loss function value of the research method approaches the target value of 0.00. …"

Changes in loss values for different algorithms. حسب Xiaojun Wang (50332)

"…The results show that when running on the Monet2photo dataset, when the system iterates to 72 times, the loss function value of the research method approaches the target value of 0.00. …"

Compare algorithm parameter settings. حسب Yuqi Xiong (12343771)

"…Experimental validation shows that on 23 benchmark functions and the CEC2022 test suite, MESBOA significantly outperforms the original Secretary Bird Optimization Algorithm (SBOA) and other comparative algorithms (such as GWO, WOA, PSO, etc.) in terms of convergence speed, solution accuracy, and stability. …"

Statistical results of various algorithms. حسب ZeSheng Lin (20501356)

"…In order to effectively handle extensive datasets, researchers have introduced diverse classification algorithms. Notably, Kernel Extreme Learning Machine (KELM), as a fast and effective classification method, has received widespread attention. …"