Evaluation of the optimization algorithm using <i>in vitro</i> microbiome reference values. حسب Juan Ricardo Velasco-Álvarez (16859181)

"…<p>A: Evolution of biomass fraction distribution during the cycles of adaptation enforced by the gradient descent algorithm using a value of <i>α</i> = 0.25 and <i>in vitro</i> abundance data obtained from [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0290082#pone.0290082.ref021" target="_blank">21</a>]; B: Comparison of pie charts for the <i>in vitro</i> reference biomass percentage distributions (left) and the obtained with the modeling strategy based on the gradient descent algorithm (right); C: Performance functional (<i>J</i>) evolution for <i>in vitro</i> microbiome simulation.…"

Slicing aided hyper inference algorithm. حسب Chunhua Yang (346871)

"…Intersection over Union (IoU) is used to optimize the loss function calculation. The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. …"

The results of CEC2022 for all algorithm. حسب Zihao Wang (845023)

"…To demonstrate the effectiveness of the proposed algorithm, we use the CEC2022 benchmark function test suite to perform comparison experiments. the HGJO is compared with the original GJO and five classical meta-heuristics. …"

The average time slots for all algorithms. حسب Zihao Wang (845023)

"…To demonstrate the effectiveness of the proposed algorithm, we use the CEC2022 benchmark function test suite to perform comparison experiments. the HGJO is compared with the original GJO and five classical meta-heuristics. …"

Details of the comparison algorithm parameters. حسب Yan Wei (32168)

"…Therefore, this study proposed a feature selection prediction model (bGEBA-SVM) based on an improved bat algorithm and support vector machine by extracting 1694 college graduates from 2022 classes in Zhejiang Province. …"

Convergence curves of different algorithms on CEC2017 functions (dim = 30,100) and CEC2022(dim = 30). حسب Qingwen Meng (156386)

الموضوعات:

Top 15 hub genes in five algorithms. حسب Tianqi Liu (1625776)

Schematics for gmxapi operations. حسب M. Eric Irrgang (4487278)

The workflow used to analyze imbalanced and balanced sequences. حسب Solomon Shiferaw Beyene (9143178)

Test to find best k-tuple algorithm settings. حسب Elzbieta Rembeza (5114207)

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. حسب Gursimran Singh (575288)

الموضوعات:

Benchmark functions used and their details. حسب Wei Liu (20030)

الموضوعات:

IRBMO vs. meta-heuristic algorithms boxplot. حسب Chenyi Zhu (9383370)

الموضوعات:

IRBMO vs. feature selection algorithm boxplot. حسب Chenyi Zhu (9383370)

الموضوعات:

The parallel coordinates of non-dominated front obtained by each algorithm (used in the comparison) on DTLZ3 and DTLZ 7 or any function with 10 objectives. حسب Heba Askr (15572851)

الموضوعات:

Example of the fully-compensated phase reconstruction package for off-axis DHM holograms recorded in telecentric configuration. حسب Raul Castañeda (13932971)

The performance evaluation of various image contrast enhancement approaches using test images 1. حسب Xiaowen Zhang (83669)

الموضوعات:

The performance evaluation of various image contrast enhancement approaches using test images 7. حسب Xiaowen Zhang (83669)

الموضوعات:

The performance evaluation of various image contrast enhancement approaches using test images 8. حسب Xiaowen Zhang (83669)

الموضوعات:

The performance evaluation of various image contrast enhancement approaches using test images 6. حسب Xiaowen Zhang (83669)

الموضوعات: