Titlebook: Artificial Intelligence Application in Networks and Systems; Proceedings of 12th Radek Silhavy,Petr Silhavy Conference proceedings 2023 Th

停止償付

,Predicting the?Specific Student Major Depending on?the?STEAM Academic Performance Using Back-Propagcapability to predict a specific major among 17 different majors for every student with a high learning performance (1.4147), plausible error value (-0.1211), and rational number of learning epochs (223).

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The Best Model for Determinants Impacting Employee Loyalty,five elements - compensation, work environment, relationships with coworkers, training and development, and job satisfaction - that had a positive impact on employee loyalty, with compensation serving as the most important factor.

金哥占卜者

Intrusion Detection with Supervised and Unsupervised Learning Using PyCaret Over CICIDS 2017 DataseBesides classification, clustering and anomaly detection were implemented. PyCaret clustering with two different algorithms, Agglomerative Clustering and K-Means Clustering, identified two clusters. Our aim was to distribute the data into two clusters, benign data cluster and network attacks (malign

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Traffic Prediction for VRP in Intelligent Transportation Systems, The best performing model is then tested with a VRP algorithm for ride-sharing taxi. Our results suggest that artificial neural networks can reduce the wait times significantly compared to simple statistical estimation, specifically our test shows a reduction by 18%.

清晰

Enhancing Monte-Carlo SLAM Algorithm to Overcome the Issue of Illumination Variation and Kidnappingloyed to overcome kidnapping. In this experiment, the enhanced MCL was compared with the original MCL, and Matlab was employed for the purpose of simulation. Evaluation was based on quantitative and qualitative approach and result obtained shows better performance of the enhanced MCL over the origin

agonist

Bidirectional Recurrent Neural Network for Total Electron Content Forecasting,ocessing, greatly improving the efficiency of all methods. It is also shown that the addition of the Dst and F10.7 indices contributed to the improvement in efficiency. Since the state of the ionosphere described by the TEC parameter strongly depends on the coordinates of the observation point, we u

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