Table_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.DOCX حسب Shakiru A. Alaka (9302864)

"…We evaluate the predictive accuracy of machine-learning algorithms for predicting functional outcomes in acute ischemic stroke patients after endovascular treatment.…"

The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. حسب Ahmed M. Elshewey (21463867)

Comparison of covariates versus brain imaging data in the classification of ASD before and after matching. حسب Oualid Benkarim (9707986)

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

Model construction and validation (A) Construction of the model based on multiple machine learning algorithms. حسب Chengting Wu (21485612)

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

Data_Sheet_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.PDF حسب Shakiru A. Alaka (9302864)

"…We evaluate the predictive accuracy of machine-learning algorithms for predicting functional outcomes in acute ischemic stroke patients after endovascular treatment.…"

Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>14−<i>f</i>23. حسب Ying Li (38224)

Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>8−<i>f</i>13. حسب Ying Li (38224)

The variation process of various loss functions before and after model improvement. حسب Zhenwei Li (834360)

Damping oscillation function (after adding random numbers). حسب Fujun Wang (96184)

Algorithm process of BPNN. حسب Xiaoxiang Cao (12644851)

Comparison of model visualization before and after SPPFCSPC improvement. حسب Wenyuan Xu (2553028)

Comparison of key evaluation indicators for recommendation algorithms. حسب Mingbao Yang (14008799)

Critical values of membership functions learned from the study cohort by the algorithm. حسب Yufeng Zhang (195768)

Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms حسب Saadiallakh Normatov (20682324)

Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms حسب Saadiallakh Normatov (20682324)

Parameters of the test function. حسب Yiqiong Gao (16698968)

"…The adaptive adjustment of the transition probability effectively balances the development and exploration abilities of the algorithm. The improved flower pollination algorithm (IFPA) outperformed six classical benchmark functions that were used to verify the superiority of the improved algorithm. …"

Schematic diagram of the atomic function . حسب Xiang Tian (4369285)

Characterization and Classification Using Autoregressive Modeling and Machine Learning Algorithms حسب Noushin R. Farnoud (4925308)