<i>hi</i>PRS algorithm process flow. حسب Michela C. Massi (14599915)

Optimized process of the random forest algorithm. حسب Hongxia Li (493545)

"…Then, a training set is randomly selected from known coal mine samples, and the training sample set is processed and analyzed using Matlab software. …"

MSE for ILSTM algorithm in binary classification. حسب Asmaa Ahmed Awad (16726315)

"…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …"

Sensitivity values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Specificity values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Fitness values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

The parameter settings of the RF algorithm after parameter optimization. حسب Xini Fang (20861990)

Number of features selected for IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Classification accuracy values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

F-score values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Hierarchical clustering to infer a binary tree with <i>K</i> = 4 sampled populations. حسب Tristan Mary-Huard (3864)

"…After <i>K</i> − 2 = 2 steps, the resulting tree is binary and the algorithm stops.…"

The weight optimization process. حسب Guomei Cui (20721578)

"…The dataset covers multiple tests of multiple athletes, ensuring the diversity of samples. Secondly, an optimized machine learning algorithm based on decision tree is adopted. …"

One advantage of our algorithm is that it is not binary in nature. حسب Yong Kuk Kim (13955214)

AUW-CE Mining Algorithms & Dataset Hub حسب Shuaikang Yuan (21091847)

"…By integrating a heuristic search mechanism, the algorithm can quickly converge to potential high utility patterns and effectively reduce redundant computational processes. …"

Numerical example for determining the optimal number of clusters in Algorithm 2. حسب Yi Wei Tye (22208735)

Sample of the comparison of inference given by the adaboost algorithm and the real data. حسب Raphael Souza de Oliveira (12647110)

The Search process of the genetic algorithm. حسب Wenguang Li (6528113)

"…The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model’s predictive accuracy. …"

The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. حسب Olaide N. Oyelade (14047002)

الموضوعات:

Comparison between ILSTM and machine learning-based algorithms in binary classification. حسب Asmaa Ahmed Awad (16726315)

Comparison between ILSTM and deep learning-based algorithms in binary classification. حسب Asmaa Ahmed Awad (16726315)