Performance of machine learning algorithms. by Wenxue Liu (6877754)

Types of machine learning algorithms. by Md. Merajul Islam (12646837)

“…<div><p>Background and objectives</p><p>Child undernutrition is a leading global health concern, especially in low and middle-income developing countries, including Bangladesh. Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.…”

Parameters of the machine learning algorithms used in the study. by Xiaoyan Yang (259084)

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Performance comparison of mainstream algorithms. by Junjie Lu (160350)

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Federated averaging algorithm. by Yan Qin (118276)

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Machine learning prediction algorithm flow chart. by Ahmad M. Al-Omari (20460931)

Data Sheet 1_Development and validation of an endoscopic diagnostic model for sessile serrated lesions based on machine learning algorithms.docx by Xinying Yu (16400811)

“…Background and aims<p>Sessile serrated lesions (SSLs) are morphologically subtle and often misclassified as hyperplastic polyps (HPs), increasing colorectal cancer risks. We developed a machine learning (ML) model to improve endoscopic SSL diagnosis.…”

Data_Sheet_1_Development of prognostic models for advanced multiple hepatocellular carcinoma based on Cox regression, deep learning and machine learning algorithms.CSV by Jie Shen (31533)

“…</p>Methods<p>Eligible patients with HCC were obtained from the Surveillance, Epidemiology, and End Results (SEER) database, and then prognostic models were built using Cox regression, machine learning (ML), and deep learning (DL) algorithms. The model’s performance was evaluated using C-index, receiver operating characteristic curve, Brier score and decision curve analysis, respectively, and the best model was interpreted using SHapley additive explanations (SHAP) interpretability technique.…”

Data_Sheet_2_Development of prognostic models for advanced multiple hepatocellular carcinoma based on Cox regression, deep learning and machine learning algorithms.docx by Jie Shen (31533)

“…</p>Methods<p>Eligible patients with HCC were obtained from the Surveillance, Epidemiology, and End Results (SEER) database, and then prognostic models were built using Cox regression, machine learning (ML), and deep learning (DL) algorithms. The model’s performance was evaluated using C-index, receiver operating characteristic curve, Brier score and decision curve analysis, respectively, and the best model was interpreted using SHapley additive explanations (SHAP) interpretability technique.…”

Receiver operator characteristic (ROC) curves of the machine learning algorithms. by Yue Lv (549862)

Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

RF Algorithm Principles. by Zhiheng Zhang (9347282)

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Flowchart of the RIR algorithm. by Jiamin Hu (8972420)

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Supplementary Material for: Deep learning-based algorithm for staging secondary caries in bitewings by vanNistelrooij N. (19962855)

“…Therefore, we aimed to develop a Convolutional neural network (CNN)-based algorithm for these purposes using a novel approach for determining lesion severity. …”

Construction of the PRG score index using integrated machine learning algorithms. by Xiangxin Wu (22320058)

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Abbreviations used in the algorithm. by Richa Jain (6550391)

The structure of the improved YOLOv5 algorithm. by Fucai Sun (20649103)

“…Moreover, the algorithm is deployed in the Jetson Nano embedded development board to build the flame detection system.…”

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

Supporting data for “Developing algorithms to optimize recommender system for self-regulated learning promotion in online contexts: a design-based study” by Long Zhang (11129139)