Titlebook: Computational Data and Social Networks; 12th International C Minh Hoàng Hà,Xingquan Zhu,My T. Thai Conference proceedings 2024 The Editor(s

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Stereotype in Marketing und Werbungin images. Experimental results show that the Neural Textures tool is the most sophisticated in creating fake faces, which is the most challenging for the considered fake image detection algorithms. In addition, we propose an architecture that can obtain better performance in fake/real face detectio

esoteric

Stereotype in Marketing und Werbungolutional neural network of the feature pyramid network (FPN) family for SER. This network aggregates multi-scale features from different layers of the feature extractor via a top-down pathway and lateral connections. This methodology empowers our proposed network to encompass a more comprehensive a

灰姑娘

Ineke M. Pit-ten Cate,Sabine GlockSI task as a multi-label classification problem, better aligning with real-world legal practices. Through experimentation with real-world data, our approach demonstrates favorable performance when compared to previous models reported in the literature.

休闲

Forschungsfragen und Hypothesen,k, CombiGCN, in which item embeddings are only linearly propagated on the user-item interaction graph, while user embeddings are propagated simultaneously on both the user-user weighted connection graph and user-item interaction graph graphs with Light Graph Convolution (LGC) and combined in a simpl

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效果

ANN

https://doi.org/10.1007/978-3-658-05390-1ing machine learning models such as SVM, Naive Bayes, Neural Network, and Random Forest to find the most effective method. The Random Forest combined with the FastText method was highly evaluated, achieving a success rate of 82% when measured against essential evaluation criteria of accuracy, precis

amorphous

Angela Vennemann,Christina Holtz-Bachae Traveling Salesman Problem (TSP) with set-dependent cost. We propose an A* search algorithm to address this particular variant of the TSP. Computational experiments highlight the benefits of the proposed algorithm in comparison to the widely recognized Dijkstra algorithm and propose future researc

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