Best performance based on linear and quadratic model. حسب Alina Bazarova (17138191)

Model selection for each clustering algorithm considered. حسب Luan Carlos de Sena Monteiro Ozelim (16914117)

الموضوعات:

Feature selection using Boruta algorithm. حسب Shayla Naznin (13014015)

"…Feature selection was performed using the Boruta algorithm and model performance was evaluated by comparing accuracy, precision, recall, F1 score, MCC, Cohen’s Kappa and AUROC.…"

Results from linear correlation tests for initial variables. حسب Marlon E. Cobos (6169847)

Results from linear correlation tests for initial variables. حسب Marlon E. Cobos (6169847)

Flowchart of whale flock optimization algorithm. حسب Rongxin Gong (18864603)

الموضوعات:

Standard model selected for research. حسب Guangmei Ma (21432861)

Comparison of methodologies in scheme selection. حسب Yixuan Lu (9987980)

"…Simultaneously, based on the concept of dynamic weighting, a multiple linear regression is introduced for analyzing the weights of similar projects, resulting in the derivation of universal weights for the primary indicators within the evaluation system. …"

Variable Selection for High-Dimensional Heteroscedastic Regression and Its Applications حسب Po-Hsiang Peng (20537269)

Run times of two algorithms. حسب Gourab Saha (8987405)

"…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …"

Sensor value scenario for fuzzy logic algorithm. حسب Gourab Saha (8987405)

"…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …"

Radial dendrogram obtained from DBHT algorithm with Pearson correlation distance and generalization error similarity. حسب Luan Carlos de Sena Monteiro Ozelim (16914117)

الموضوعات:

LASSO–penalized clusterwise linear regression modelling: a two–step approach حسب Roberto Di Mari (9564435)

"…This is done by using a generalization of the Least Angle Regression (LARS) algorithm, which permits covariate selection with a single evaluation of the estimator. …"

Average accuracy by feature selection method. حسب Şafak Kılıç (22227019)

"…Classification is performed using Support Vector Machines with RBF/Linear kernels and k-Nearest Neighbors algorithms. …"

Radial dendrogram obtained from DBHT algorithm with Spearman’s <i>ρ</i> correlation distance and generalization error similarity. حسب Luan Carlos de Sena Monteiro Ozelim (16914117)

الموضوعات:

Radial dendrogram obtained from DBHT algorithm with Kendall’ <i>τ</i> correlation distance and generalization error similarity. حسب Luan Carlos de Sena Monteiro Ozelim (16914117)

الموضوعات:

Absorption Intensities of Organic Molecules from Electronic Structure Calculations versus Experiments: the Effect of Solvation, Method, Basis Set, and Transition Moment Gauge حسب Jorge C. Garcia-Alvarez (11934119)

Data_Sheet_1_Parallel Implementation of Large-Scale Linear Scaling Density Functional Theory Calculations With Numerical Atomic Orbitals in HONPAS.PDF حسب Zhaolong Luo (9692087)

"…Therefore, sparse matrix multiplication is the most time-consuming step in the density matrix purification algorithm for linear-scaling DFT calculations. …"

Mean parameter values for the selected crops. حسب Gourab Saha (8987405)

"…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …"

Evaluation metrics of selected ML models. حسب Gourab Saha (8987405)

"…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …"