DataSheet1_Robust decentralized adaptive compensation for the multi-axial real-time hybrid simulation benchmark.pdf حسب María Quiroz (18986465)

"…Subsequently, the compensator parameters are updated in real-time during the test using a recursive least squares adaptive algorithm. The results demonstrate outstanding performance in experiment synchronization, even in uncertain conditions, due to the variability of reference structures, seismic loading, and multi-actuator properties. …"

Council of AI Agents Architecture. حسب Yahya Shaikh (15275692)

DataSheet1_Multi-trait modeling and machine learning discover new markers associated with stem traits in alfalfa.docx حسب Cesar A. Medina (12501240)

Environmental stratification and genotype recommendation toward the soybean ideotype: a Bayesian approach حسب Jeniffer Santana Pinto Coelho Evangelista (9667174)

"…Variance components, genetic parameters and genetic values were estimated through MCMC algorithm. Environmental stratification was conducted by factor analyses and the selection of soybean genotypes was performed using the FAI/MCMC index. …"

Table 1_Machine learning-based gait adaptation dysfunction identification using CMill-based gait data.docx حسب Hang Yang (577653)

"…ML models based on Support Vector Machine, Decision Tree, Multi-layer Perceptron, K-Nearest Neighbors, and AdaCost algorithm were trained to classify individuals with and without GAD. …"

Image 4_Pan-cancer single cell and spatial transcriptomics analysis deciphers the molecular landscapes of senescence related cancer-associated fibroblasts and reveals its predictiv... حسب Shan Li (110392)

"…With marker genes of senes CAF and leave-one-out cross-validation, we selected RF algorithm to establish diagnostic SCRS, and SuperPC algorithm to develop prognostic SCRS. …"

Image 1_Pan-cancer single cell and spatial transcriptomics analysis deciphers the molecular landscapes of senescence related cancer-associated fibroblasts and reveals its predictiv... حسب Shan Li (110392)

"…With marker genes of senes CAF and leave-one-out cross-validation, we selected RF algorithm to establish diagnostic SCRS, and SuperPC algorithm to develop prognostic SCRS. …"

Data Sheet 1_Pan-cancer single cell and spatial transcriptomics analysis deciphers the molecular landscapes of senescence related cancer-associated fibroblasts and reveals its pred... حسب Shan Li (110392)

"…With marker genes of senes CAF and leave-one-out cross-validation, we selected RF algorithm to establish diagnostic SCRS, and SuperPC algorithm to develop prognostic SCRS. …"

Image 3_Pan-cancer single cell and spatial transcriptomics analysis deciphers the molecular landscapes of senescence related cancer-associated fibroblasts and reveals its predictiv... حسب Shan Li (110392)

"…With marker genes of senes CAF and leave-one-out cross-validation, we selected RF algorithm to establish diagnostic SCRS, and SuperPC algorithm to develop prognostic SCRS. …"

Image 2_Pan-cancer single cell and spatial transcriptomics analysis deciphers the molecular landscapes of senescence related cancer-associated fibroblasts and reveals its predictiv... حسب Shan Li (110392)

"…With marker genes of senes CAF and leave-one-out cross-validation, we selected RF algorithm to establish diagnostic SCRS, and SuperPC algorithm to develop prognostic SCRS. …"

Table 1_Pan-cancer single cell and spatial transcriptomics analysis deciphers the molecular landscapes of senescence related cancer-associated fibroblasts and reveals its predictiv... حسب Shan Li (110392)

"…With marker genes of senes CAF and leave-one-out cross-validation, we selected RF algorithm to establish diagnostic SCRS, and SuperPC algorithm to develop prognostic SCRS. …"

Image1_Applying machine learning to the pharmacokinetic modeling of cyclosporine in adult renal transplant recipients: a multi-method comparison.TIFF حسب Junjun Mao (2947659)

Image1_Applying machine learning to the pharmacokinetic modeling of cyclosporine in adult renal transplant recipients: a multi-method comparison.TIFF حسب Junjun Mao (2947659)

Efficient Approaches for Offline Training of Gaussian Process Models in Coastal Groundwater Management. Presented at 1st IACRR International Conference on Coastal Reservoirs and Su... حسب Weijiang Yu (18083155)

The formulas of the evaluation indexes. حسب Beibei Hu (5347559)

"…Variational mode decomposition (VMD) is first used to decompose the carbon price into several modes, and range entropy is then used to reconstruct these modes. The multi-factor HKELM optimized by the sparrow search algorithm is used to forecast the reconstructed subsequences, where the main external factors innovatively selected by maximum information coefficient and historical time-series data on carbon prices are both considered as input variables to the forecasting model. …"

Analysis of the REs of VMFs and IMFs. حسب Beibei Hu (5347559)

"…Variational mode decomposition (VMD) is first used to decompose the carbon price into several modes, and range entropy is then used to reconstruct these modes. The multi-factor HKELM optimized by the sparrow search algorithm is used to forecast the reconstructed subsequences, where the main external factors innovatively selected by maximum information coefficient and historical time-series data on carbon prices are both considered as input variables to the forecasting model. …"

The multiple factors influencing carbon price. حسب Beibei Hu (5347559)

"…Variational mode decomposition (VMD) is first used to decompose the carbon price into several modes, and range entropy is then used to reconstruct these modes. The multi-factor HKELM optimized by the sparrow search algorithm is used to forecast the reconstructed subsequences, where the main external factors innovatively selected by maximum information coefficient and historical time-series data on carbon prices are both considered as input variables to the forecasting model. …"

Statistical description of the dataset. حسب Beibei Hu (5347559)

"…Variational mode decomposition (VMD) is first used to decompose the carbon price into several modes, and range entropy is then used to reconstruct these modes. The multi-factor HKELM optimized by the sparrow search algorithm is used to forecast the reconstructed subsequences, where the main external factors innovatively selected by maximum information coefficient and historical time-series data on carbon prices are both considered as input variables to the forecasting model. …"

Implementation steps of ICEEMDAN. حسب Beibei Hu (5347559)

"…Variational mode decomposition (VMD) is first used to decompose the carbon price into several modes, and range entropy is then used to reconstruct these modes. The multi-factor HKELM optimized by the sparrow search algorithm is used to forecast the reconstructed subsequences, where the main external factors innovatively selected by maximum information coefficient and historical time-series data on carbon prices are both considered as input variables to the forecasting model. …"

The retrievability of L2 English multi-word items in a context of strongly form-focused exposure: What matters? Untitled Item حسب Seth Lindstromberg (5705819)