The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. حسب Olaide N. Oyelade (14047002)

الموضوعات:

DE algorithm flow. حسب Ling Zhao (111365)

"…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …"

Test results of different algorithms. حسب Ling Zhao (111365)

"…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …"

Functional fitness test results of different algorithms. حسب Ling Zhao (111365)

Feature selection process. حسب Balraj Preet Kaur (20370832)

A* Path-Finding Algorithm to Determine Cell Connections حسب Max Weng (22327159)

"…To address this, the research integrates a modified A* pathfinding algorithm with a U-Net convolutional neural network, a custom statistical binary classification method, and a personalized Min-Max connectivity threshold to automate the detection of astrocyte connectivity.…"

The performance of classifiers based on 60 selected mRNAs. حسب Seyed Mahdi Hosseiniyan Khatibi (16791475)

الموضوعات:

Study selection. حسب Sebastião Rogério da Silva Neto (11944944)

List of selected mRNAs in the feature selection step. حسب Seyed Mahdi Hosseiniyan Khatibi (16791475)

الموضوعات:

Selected mRNAs based on association rule mining analysis, for early and late stages of PTC. حسب Seyed Mahdi Hosseiniyan Khatibi (16791475)

الموضوعات:

The maximum accuracy (lowest error rate) with the least number of ANOVA-ranked genes achieved by different feature filtering methods and classification algorithms refined by SIRRFE... حسب Song Cui (553627)

Dataset selection process and exclusion criteria. حسب Seung Seog Han (4782486)

The performance of the SVM classifier based on 60 (30 plus 30-zeroed) selected mRNAs for GSE 60542 dataset. حسب Seyed Mahdi Hosseiniyan Khatibi (16791475)

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<i>hi</i>PRS algorithm process flow. حسب Michela C. Massi (14599915)

An optimization process of the proposed hybrid BEOSA (HBEOSA) combining both SA and FFA methods into BEOSA. حسب Olaide N. Oyelade (14047002)

الموضوعات:

Table_1_A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple... حسب Yangyang Liu (807797)

"…Simulation tests reveal that the dynamic genetic algorithm with ant colony binary iterative optimization (DGA-ACBIO) proposed in this study shortens the optimal flight range by 715.8 m, 428.3 m, 589 m, and 287.6 m compared to the dynamic genetic algorithm, ant colony binary iterative algorithm, artificial fish swarm algorithm (AFSA) and particle swarm optimization (PSO), respectively, for multiple tea field scheduling route planning. …"

Top mRNAs based on repeat count in early-stage and late-stage rules. حسب Seyed Mahdi Hosseiniyan Khatibi (16791475)

الموضوعات:

Twenty of the top early-stage and late-stage rules based on sorted lift value. حسب Seyed Mahdi Hosseiniyan Khatibi (16791475)

الموضوعات:

Performance of the ceRNAR package using synthetic data with randomly selected correlation values from 0.8 to 0.9. حسب Yi-Wen Hsiao (13767916)

Performance of the ceRNAR package in five scenarios under the complete version using synthetic data with randomly selected correlation values from 0.3 to 0.9. حسب Yi-Wen Hsiao (13767916)