A framework for improving localisation prediction algorithms. حسب Sven B. Gould (12237287)

Convergence curve of the DBO algorithm. حسب Ma Haohao (22177538)

"…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …"

Dispersion signal in principal and residual space in PCA and KPCA algorithm. حسب Emmanuel Ndongue Esseme (22615091)

Dispersion signal in principal and residual space in PCA-FFT and KPCA-FFT algorithm. حسب Emmanuel Ndongue Esseme (22615091)

Performance of algorithms outside the training species. حسب Sven B. Gould (12237287)

"…Each Venn diagram of the top panel shows an overlap between predicted (left circles, colour-coded based on the algorithms used) and experimentally verified organelle proteomes (right circles, grey). …"

(a) Prediction using traditional algorithm. (b) Prediction using optimization algorithm. حسب Dandan Wang (286632)

"…<p>(a) Prediction using traditional algorithm. (b) Prediction using optimization algorithm.…"

The genome coding scheme. حسب Wenbing Shi (5806160)

الموضوعات:

The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

"…In particular, we examine Autoregressive AR(1) vector autoregressive processes, which are commonly found in time-series applications. Finally, we use the Laplace approximation to determine a lower bound for the out-of-sample prediction error and derive a scalable expression for the marginal variance of each prediction. …"

Mitochondrial toxic prediction of marine alga toxins using a predictive model based on feature coupling and ensemble learning algorithms حسب Guangyin Jia (21075537)

"…By comparing 8 machine learning algorithms and using a weighted soft voting method to integrate the two optimal algorithms, we established 108 prediction models and identified the best ensemble learning model MACCS_LK for screening and defining its application domain. …"

Code used for data analysis in this study. حسب Nourin Sultana (22339463)

الموضوعات:

The construction process of the CGO prediction model. حسب Wenbing Shi (5806160)

الموضوعات:

Risk element category diagram. حسب Yao Hu (3479972)

"…It can be summarized that the algorithmic model has good accuracy and robustness. …"

The comparison of different prediction methods on the test set. حسب Wenbing Shi (5806160)

الموضوعات:

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

The CGO risk prediction process based on data augmentation and neuroevolution. حسب Wenbing Shi (5806160)

الموضوعات:

Table 6_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…These genes had an abundance of antioxidant responsive elements and abscisic acid responsive elements in their promoter region, suggesting their role in stress response. …"

Table 7_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…These genes had an abundance of antioxidant responsive elements and abscisic acid responsive elements in their promoter region, suggesting their role in stress response. …"

Table 3_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…These genes had an abundance of antioxidant responsive elements and abscisic acid responsive elements in their promoter region, suggesting their role in stress response. …"

Table 2_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…These genes had an abundance of antioxidant responsive elements and abscisic acid responsive elements in their promoter region, suggesting their role in stress response. …"

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)

"…These genes had an abundance of antioxidant responsive elements and abscisic acid responsive elements in their promoter region, suggesting their role in stress response. …"