Hair removal preprocessing using the DullRazor algorithm before image generation. حسب Mujung Kim (22367223)

The mAP for all algorithms and 80% of the data used for training. حسب Mohammad Amin Fraiwan (20469541)

"…<p>The mAP for all algorithms and 80% of the data used for training.</p>…"

The mAP for all algorithms and 50% of the data used for training. حسب Mohammad Amin Fraiwan (20469541)

"…<p>The mAP for all algorithms and 50% of the data used for training.</p>…"

The mAP for all algorithms and 60% of the data used for training. حسب Mohammad Amin Fraiwan (20469541)

"…<p>The mAP for all algorithms and 60% of the data used for training.</p>…"

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms حسب Zahra Bastami (21474755)

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms حسب Zahra Bastami (21474755)

An example shows how XAI algorithm helps an expert to make a decision. حسب Shuvo Biswas (21728782)

Data generation algorithm. حسب Aluwani Ramalata (21262977)

Training algorithm flow. 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. …"

List of the time used by each algorithm. حسب JiaMing Gong (20427837)

"…In this manner high quality and common samples are randomly selected for training the classifier. Finally, to solve the issue of concept drift, EDAC designs and implements an ensemble classifier that uses a self-feedback strategy to determine the initial weight of the classifier by adjusting the weight of the sub-classifier according to the performance on the arrived data chunks. …"

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

Illustration of the training algorithm for the sPHMM. حسب Tianshu Li (1527088)

The relevant data file for this article. حسب Linsha Liu (20378293)

Federated averaging algorithm. حسب Yan Qin (118276)

Training process of HFKG-RFE algorithm. حسب Chunjuan Li (7890182)

الموضوعات:

Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. حسب Lalit Pandey (13195488)

Feature importance comparison between the machine learning algorithms used in this study. حسب Sukanta Chakraborty (22693681)

Characteristics of training algorithms. حسب Tuan Anh Nguyen (121944)

"…The issue of overfitting is significantly resolved, unlike in the case of the Backpropagation Neural Network (BPNN), which is used as a benchmark for comparison. Overall, the proposed algorithm significantly improves data training accuracy and generalization performance.…"

Performance metrics (compared with DXA-based measurement) for different prediction algorithms using all predictors in training data. حسب Nick Birk (15444728)

"…<p>Performance metrics (compared with DXA-based measurement) for different prediction algorithms using all predictors in training data.</p>…"

Relevant computed image data. حسب Zhaoyu Ku (20660546)