Table 1_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…Improved performances of the algorithms via feature selection from the raw gene features identified 235 unique genes as top candidate genes across all models for all stresses. …"

Table 4_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…Improved performances of the algorithms via feature selection from the raw gene features identified 235 unique genes as top candidate genes across all models for all stresses. …"

Table 5_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…Improved performances of the algorithms via feature selection from the raw gene features identified 235 unique genes as top candidate genes across all models for all stresses. …"

The empirical distribution function and fitted distribution functions for data sets <i>Q</i> and <i>T</i>. حسب Salem A. Alyami (10572611)

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

"…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …"

Flowchart for the Tabu Search Algorithm [43]. حسب Ferhat Yuna (21519851)

"…The mathematical model was transformed into a fitness function and a solution was provided with the Tabu Search Algorithm and Simulated Annealing. …"

Architecture of AGAN algorithm model. حسب Xing Chen (140292)

"…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …"

ROC curves of six algorithms. حسب Xing Chen (140292)

"…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …"

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. …"

Summary of classical and CEC-based benchmark test functions used in this study. حسب Mahmood A. Jumaah (22272371)

Scenarios for algorithms using IEEE 33 bus. حسب Bachirou Bogno (20485724)

Scenarios for algorithms using IEEE 69 bus. حسب Bachirou Bogno (20485724)

CEC2017 test function test results. حسب Tengfei Ma (597633)

"…<div><p>To address the limitations of the Zebra Optimization Algorithm (ZOA), including insufficient late-stage optimization search capability, susceptibility to local optima, slow convergence, and inadequate exploration, this paper proposes an enhanced Zebra Optimization Algorithm integrating opposition-based learning and a dynamic elite-pooling strategy (OP-ZOA: Opposition-Based Learning Dynamic Elite-Pooling Zebra Optimization Algorithm). he proposed search algorithm employs a good point set-elite opposition-based learning mechanism to initialize the population, enhancing diversity and facilitating escape from local optima. …"

A) Ranking of models trained on different feature sets across all tested algorithms, sorted by their F1-score. حسب Jose Cleydson F. Silva (8685594)

The variation of the objective function with the number of iterations for the 118-bus. حسب Ahmed A. Zaki Diab (12757190)

Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... حسب Ziyan Jin (21021976)

High-dimensional benchmark test functions. حسب Ruyi Dong (9038174)

"…In addition, to verify the performance and robustness of LLSKSO, comparison experiments between LLSKSO and 10 well-known algorithms are conducted on 50 benchmark test functions. …"

Pseudo-code of MWOA algorithm. حسب Yi-Qiang Xia (20161326)

"…In essence, it prevents algorithms from settling for suboptimal solutions too soon, encouraging exploration of a broader solution space before converging, by incorporating cauchy variation and a perturbation term, MWOA achieve optimization over a wide search space. …"