algorithm. The other advantage of the proposed model lies in adapting the classifier with varying data patterns, which is …

Water Cycle Algorithm is used to optimize the wavelet kernel parameters and provide DKRVFLN-AE a better generalization and …

challenge in the port operation by upgrading the Gale-Shapley algorithm. Finally, it shows that the most critical presented AI … by using the recently developed matching algorithm. …

mixed integer programming (MIP). Then, the genetic algorithm (GA) is developed to solve the model and the solutions are … programming and the genetic algorithm is developed to solve the program. Novel chromosome encoding and population initializations …

chain.Design/methodology/approach: This paper proposes a two-phase heuristic algorithm to solve a 3-dimensional pallet … to evaluate the performance of the proposed heuristic algorithm in real-world instances (DHL Supply Chain). Findings: The … utilization, however, enhance the pallet stability. Finally, the proposed heuristic algorithm's efficacy increases as the …

-nearest neighbor algorithm, naïve Bayes, kernel naïve Bayes, decision trees, and support vector machine to distinguish between eleven … analysis (84.5%), k-NN algorithm (80.5%), and Gaussian naïve Bayes (71.3%). Accordingly, the choice of statistical machine … learning algorithm influences classification accuracy related to electric drive fault diagnosis. In addition, decision trees …

Artificial Pancreas (AP). In this control technique, Remora Optimization Algorithm (ROA) is used, which adjusts the controller …

study, we propose a modified Bayesian Boosting algorithm with weight-guided optimal feature selection for sentiment analysis … and utilizing an optimized boosting algorithm. The proposed algorithm leverages the strength of the Bayesian framework and …. The algorithm employs a modified Bayesian boosting algorithm to optimize the boosting process. It dynamically adjusts the …