Pseudo-code of DMDDPG algorithm. حسب Guohua Cao (697580)

"…The simulation results indicate that the proposed algorithm, which models the first three joints and the last three joints of the robotic arm as multi-agents, demonstrates not only enhanced adaptability but also faster and more stable convergence.…"

Objective function values of different algorithms on individual problem instances. حسب Panfei Li (22379086)

Image 3_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.tiff حسب Peng Liu (120506)

"…Key anoikis-DEGs in UC were identified using three machine learning algorithms, including least absolute shrinkage and selection operator (LASSO) Cox regression, random forest (RF), and support vector machine (SVM). …"

Table_2_Optimizing functional near-infrared spectroscopy (fNIRS) channels for schizophrenic identification during a verbal fluency task using metaheuristic algorithms.XLSX حسب Dong Xia (54339)

الموضوعات:

Table_1_Optimizing functional near-infrared spectroscopy (fNIRS) channels for schizophrenic identification during a verbal fluency task using metaheuristic algorithms.XLSX حسب Dong Xia (54339)

الموضوعات:

Supervised Machine Learning Algorithms for Predicting Rate Constants of Ozone Reaction with Micropollutants حسب Yajuan Shi (5575703)

"…In this work, several supervised machine learning (ML) algorithms, including multiple linear regression (MLR), support vector machine with radial basis function kernels (SVM-RBF), decision tree (DT), random forest (RF), and deep neutral network (DNN) methods, were used to develop quantitative structure–property relationship (QSPR) models for the estimation of log <i>k</i>_O3. …"

Data_Sheet_1_Modeling Macroscopic Material Behavior With Machine Learning Algorithms Trained by Micromechanical Simulations.CSV حسب Denise Reimann (7213364)

Data_Sheet_2_Modeling Macroscopic Material Behavior With Machine Learning Algorithms Trained by Micromechanical Simulations.pdf حسب Denise Reimann (7213364)

Comparative performance evaluation of 3Mont with other feature selection algorithms over 10 iterations. حسب Miray Unlu Yazici (14792680)

الموضوعات:

Integration of three machine learning algorithms to characterize lipid metabolism-associated hub genes in sepsis and atrial fibrillation. حسب Changze Ou (22806374)

AIF and VOF derived features used to feed the machine learning algorithms. حسب Ezequiel de la Rosa (11361108)

DataSheet1_Detection of Synergistic Interaction on an Additive Scale Between Two Drugs on Abnormal Elevation of Serum Alanine Aminotransferase Using Machine-Learning Algorithms.pdf حسب Hayato Akimoto (3132798)

الموضوعات:

DataSheet2_Detection of Synergistic Interaction on an Additive Scale Between Two Drugs on Abnormal Elevation of Serum Alanine Aminotransferase Using Machine-Learning Algorithms.doc... حسب Hayato Akimoto (3132798)

الموضوعات:

(a): These systems were simulated for (0,3] and (0,3] without the prior knowledge about different phases, and the probability density function of points in feature space illustrate... حسب Ali Talebi (7164203)

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)

"…Improved performances of the algorithms via feature selection from the raw gene features identified 235 unique genes as top candidate genes across all models for all stresses. …"

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. حسب Yuanchen Zhao (12905580)

الموضوعات:

Machine learning algorithm parameters. حسب Namal Rathnayake (15361124)

"…The CatBoost algorithm outperformed other algorithms used in this study, with the best correlation score for the testing dataset having 0.9934. …"

Calculation results of commonly used machine learning algorithm models. حسب Qianhui He (13522729)

Table_3_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.DOCX حسب Josefa Díaz-Álvarez (5572427)

"…Genetic algorithms, customized with K-Nearest Neighbor and BayesNet Naives as the fitness function, were developed and compared with Principal Component Analysis (PCA). …"

Performance profile of the four algorithms based on the function value of iteration number. حسب Sulaiman M. Ibrahim (20614376)