Action potential of sample points in model 1. حسب Hang Zhao (143592)

Action potential of sample points in model 2. حسب Hang Zhao (143592)

Action potential of sample points in model 0. حسب Hang Zhao (143592)

GA optimization + Naive Bayes classification. حسب André G. Coimbra (21354135)

"…Additionally, a new approach based on Particle Swarm Optimization (PSO) and Naive Bayes was proposed. …"

PSO optimization + Naive Bayes classification. حسب André G. Coimbra (21354135)

"…Additionally, a new approach based on Particle Swarm Optimization (PSO) and Naive Bayes was proposed. …"

QSAR model for predicting neuraminidase inhibitors of influenza A viruses (H1N1) based on adaptive grasshopper optimization algorithm حسب Z.Y. Algamal (5547620)

"…Obtaining a reliable QSAR model with few descriptors is an essential procedure in chemometrics. The binary grasshopper optimization algorithm (BGOA) is a new meta-heuristic optimization algorithm, which has been used successfully to perform feature selection. …"

Reinforcement Learning with Continuous Actions Under Unmeasured Confounding حسب Yuhan Li (1332462)

"…Leveraging this identification, we develop a minimax estimator and introduce a policy-gradient-based algorithm to identify the in-class optimal policy that maximizes the estimated policy value. …"

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). …"

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. …"

IRBMO vs. meta-heuristic algorithms boxplot. 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. …"

IRBMO vs. feature selection algorithm boxplot. 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. …"

Flowchart scheme of the ML-based model. حسب Noshaba Qasmi (20405009)

Metrics with the dataset. حسب André G. Coimbra (21354135)

"…Additionally, a new approach based on Particle Swarm Optimization (PSO) and Naive Bayes was proposed. …"

Preprocessing steps. حسب André G. Coimbra (21354135)

"…Additionally, a new approach based on Particle Swarm Optimization (PSO) and Naive Bayes was proposed. …"

PSO parameters and objective function. حسب André G. Coimbra (21354135)

"…Additionally, a new approach based on Particle Swarm Optimization (PSO) and Naive Bayes was proposed. …"

Comparison of and <i>F</i>2 in the positive class. حسب André G. Coimbra (21354135)

"…Additionally, a new approach based on Particle Swarm Optimization (PSO) and Naive Bayes was proposed. …"

Patient characteristics in the dataset. حسب André G. Coimbra (21354135)

"…Additionally, a new approach based on Particle Swarm Optimization (PSO) and Naive Bayes was proposed. …"

MLP classification. حسب André G. Coimbra (21354135)

"…Additionally, a new approach based on Particle Swarm Optimization (PSO) and Naive Bayes was proposed. …"

GA parameters and objective function. حسب André G. Coimbra (21354135)

"…Additionally, a new approach based on Particle Swarm Optimization (PSO) and Naive Bayes was proposed. …"

MLP parameters. حسب André G. Coimbra (21354135)

"…Additionally, a new approach based on Particle Swarm Optimization (PSO) and Naive Bayes was proposed. …"