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

Improve algorithm settings. حسب Hui Zhao (7395)

الموضوعات:

DMTD algorithm. حسب Yunhu Huang (21402795)

"…Finally, we conducted comparative tests of the manual driving, intelligent driving algorithm (ITOR, STON), and the algorithms proposed in this paper, EITO, using real line data from the Yizhuang Line of Beijing Metro (YLBS). …"

Comparison of ROC curve between deep learning and 12 handcrafted features using four machine learning algorithms. حسب Rui-Si Hu (5337227)

The pseudocode of the RFE algorithm. حسب Zuzhen Ji (17593348)

Data Sheet 1_Development of a novel artificial intelligence algorithm for interpreting fetal heart rate and uterine activity data in cardiotocography.docx حسب Rohit Pardasani (22253656)

"…</p>Methods<p>Fetal tracings sourced from 19 birthing centers through a US-based healthcare delivery organization were clinically interpreted, labeled, quality checked, and ratified by clinicians to be included in the study. The algorithm using deep learning and rule-based techniques was developed to identify segments of interest (accelerations, decelerations, and contractions). …"

The steps of applying RF algorithm. حسب Zuzhen Ji (17593348)

Data_Sheet_1_Development of prognostic models for advanced multiple hepatocellular carcinoma based on Cox regression, deep learning and machine learning algorithms.CSV حسب 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 حسب 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.…"

Algorithm steps for house price prediction model. حسب Xuan Wang (55634)

الموضوعات:

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

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring حسب Bingbing Qu (17603577)

"…By leveraging the convolutional neural network (CNN) and bidirectional long short-term memory (BiLSTM) algorithm, sensor data can be efficiently analyzed in both spatial and temporal dimensions, achieving a promising recognition accuracy of 97.14%. …"

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring حسب Bingbing Qu (17603577)

"…By leveraging the convolutional neural network (CNN) and bidirectional long short-term memory (BiLSTM) algorithm, sensor data can be efficiently analyzed in both spatial and temporal dimensions, achieving a promising recognition accuracy of 97.14%. …"

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring حسب Bingbing Qu (17603577)

"…By leveraging the convolutional neural network (CNN) and bidirectional long short-term memory (BiLSTM) algorithm, sensor data can be efficiently analyzed in both spatial and temporal dimensions, achieving a promising recognition accuracy of 97.14%. …"

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring حسب Bingbing Qu (17603577)

"…By leveraging the convolutional neural network (CNN) and bidirectional long short-term memory (BiLSTM) algorithm, sensor data can be efficiently analyzed in both spatial and temporal dimensions, achieving a promising recognition accuracy of 97.14%. …"

Architecture of Optimized deep learning Networks. حسب Xuan Wang (55634)

الموضوعات:

Scatter plots of actual and forecasted values of different optimization algorithms for BiLSTM models in corn and wheat datasets. حسب Kaixuan Sun (4739976)

Pseudocode for bat-optimized deep learning model. حسب Xuan Wang (55634)

الموضوعات:

IOU values of four algorithms. حسب Hong Li (20183)

Image 2_Characterizing clinical risk profiles of major complications in type 2 diabetes mellitus using deep learning algorithms.jpeg حسب Haochen Liu (487914)

"…</p>Materials and methods<p>Data from 1,448 T2DM patients at Xi’an No.9 Hospital were used. …"