Titlebook: Computational Intelligence in Recent Communication Networks; Mariya Ouaissa,Zakaria Boulouard,Bassma Guermah Book 2022 The Editor(s) (if a

Spinal-Fusion

琐事

PDDL Planning and Ontologies, a Tool for Automatic Composition of Intentional-Contextual Web Servicomposition Architecture (CISCA) for implementing this approach. In the same way, we will present an AI planning technique to solve a composition problem, namely, the Planning Domain Description Language (PDDL) and the basis for reciprocal transformation with the Web Ontology Language (OWL).

供过于求

QSAR Anti-HIV Feature Selection and Prediction for Drug Discovery Using Genetic Algorithm and Machin parameters sensibility is equal to 0.99, specificity is equal to 0.91, and accuracy is equal to 0.98. These results reveal the capacity for achieving data subset of molecular descriptors, with high predictive capacity as well as the effectiveness and robustness of the proposed approach.

训诫

全能

航海太平洋

Das Grundkonzept der Marktzinsmethode project, we aim to examine the performance of two advanced neural network models, namely, convolutional neural networks and recurrent neural networks, and choose the most suitable one in terms of resistance and effectiveness for this particular application. This paper presents the simulations carried out and the results obtained.

Arrhythmia

Traffic Sign Detection: A Comparative Study Between CNN and RNN, project, we aim to examine the performance of two advanced neural network models, namely, convolutional neural networks and recurrent neural networks, and choose the most suitable one in terms of resistance and effectiveness for this particular application. This paper presents the simulations carried out and the results obtained.

stress-test

现任者

https://doi.org/10.1007/978-3-658-45422-7stigate the use of Deep Q-Learning to optimize vehicle time loss. Finally, we discuss deeply the performance of our proposed DRL-based solution compared to similar traditional programming-based systems.

Intruder