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

Convergence curve of the DBO algorithm. by 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. by Emmanuel Ndongue Esseme (22615091)

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

Performance of algorithms outside the training species. by 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. by Dandan Wang (286632)

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

The genome coding scheme. by Wenbing Shi (5806160)

Subjects:

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

“…The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. Next, we examine the statistical effect of correlated prediction error and propose a method for Generalized Least Squares (GLS) on graphs. …”

Mitochondrial toxic prediction of marine alga toxins using a predictive model based on feature coupling and ensemble learning algorithms by 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. by Nourin Sultana (22339463)

Subjects:

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

Subjects:

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

Subjects:

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

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

Subjects:

The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

Element model generation method with geometric distribution errors by Yiqi Liu (21357815)

“…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”

Structure of the style prediction network. by Bei Huang (485021)

Subjects:

Data and code resources. by Sam Hall-McMaster (10343795)

Source Code and Dataset by Swathi Ganesan (14394924)

Crop yield prediction accuracy using different ML algorithms. by Gourab Saha (8987405)

Subjects: