MLP vs classification algorithms. حسب Mohd Mustaqeem (19106494)

"…However, SDP faces challenges like imbalanced data, high-dimensional features, model overfitting, and outliers. …"

DATA. حسب Yang Yu (4292)

"…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …"

The robustness test results of the model. حسب Xini Fang (20861990)

"…Finally, an improved RF model is constructed by optimizing the parameters of the RF algorithm. …"

Comparison of MAPE mean and RMSE mean for statistical significance. حسب Ghassan Ahmed Ali (17041488)

الموضوعات:

Flow diagram of Wan Abdullah method for HNN. حسب Ghassan Ahmed Ali (17041488)

الموضوعات:

Flowchart for HNN-EB<i>k</i>SAT implementation procedure. حسب Ghassan Ahmed Ali (17041488)

الموضوعات:

Hybrid feature selection algorithm of CSCO-ROA. حسب Afnan M. Alhassan (18349378)

"…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …"

Variable importance of features included in the gradient boosting machine learning (XGB) algorithm for predicting postinduction hypotension. حسب Manabu Yoshimura (11040049)

Architecture of proposed system model. حسب Nanavath Kiran Singh Nayak (22184565)

System model of the proposed method. حسب Nanavath Kiran Singh Nayak (22184565)

Proposed CVAE model. حسب Afnan M. Alhassan (18349378)

"…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …"

Flowchart of simple ant colony algorithm. حسب Yang Yu (4292)

"…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …"

Segmentation results of the proposed model. حسب Afnan M. Alhassan (18349378)

"…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …"

Secure MANET routing with blockchain-enhanced latent encoder coupled GANs and BEPO optimization حسب Sandeep Jagonda Patil (22048337)

"…To tackle these challenges, this paper proposes the Blockchain Based Trusted Distributed Routing Scheme for MANET using Latent Encoder Coupled Generative Adversarial Network Optimized with Binary Emperor Penguin Optimizer (LEGAN-BEPO-BCMANET). …"

DataSheet1_Optimal capacity configuration of the wind-storage combined frequency regulation system considering secondary frequency drop.docx حسب Dongdong Li (123985)

The Pseudo-Code of the IRBMO Algorithm. حسب Chenyi Zhu (9383370)

"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"

Distributions of model parameters mirror differentially expressed ion channel genes. حسب Daniele Linaro (227790)

RNN performance comparison with/out optimization. حسب Muhammad Usman Tariq (11022141)

"…Analytic approaches, both predictive and retrospective in nature, were used to interpret the data. Our primary objective was to determine the most effective model for predicting COVID-19 cases in the United Arab Emirates (UAE) and Malaysia. …"

Reducing positional uncertainty حسب He Wu (22584128)

Weights of sample data. حسب Yixuan Lu (9987980)