Titlebook: Computer and Communication Engineering; 4th International Co Filippo Neri,Ke-Lin Du,Zhiyu Jiang Conference proceedings 2025 The Editor(s) (

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https://doi.org/10.1057/9780230120587(LSTM)) is applied to train the features discriminating fake and real news. The trained machine learning model is then utilized later to automatically detect fake news texts. The system has been compared against traditional approaches where the experimental outcomes show the superiority of the proposed approach over them.

刪減

Enhanced Low Rank Tensor Multi View Clusteringr multi view clustering method. Similar to the TLRR method, this method represents the multi view clustering problem of data as a low rank tensor learning problem, which is solved through the alternating direction method of multipliers. The experimental results on three image datasets show that this method is more efficient than existing methods.

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Integrating Non-encrypted and?Encrypted Features for?Enhanced Detection of?Encrypted Network Attacksg of both encrypted and non-encrypted activities, emphasizing that such insights are crucial for the development of more robust and effective detection mechanisms in the evolving landscape of cybersecurity.

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Carcinogen

Artistic Image Generation Using Deep Convolutional Generative Adversarial Networksommunity has been particularly drawn to GAN‘s capacity to reconstruct and produce a new artistic image in the desired style. While gradient disappearance during the training phase is a challenge for conventional GAN techniques, which frequently lead to the creation of images with subpar artistic qua

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過分自信

Movie Tag Prediction Using Multi-label Classification with?BERTrative filtering approach, though effective, faces the cold-start challenge due to an undeveloped user base for new contents. To address this, many platforms turn to metadata-based recommendations; however, this method often struggles with content lacking rich metadata. This research introduces a no

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Collaborative Filtering is Wrong and Here is Whycompanies. In this paper, we prove that the collaborative filtering is wrong based on topological and geometric analysis of the algorithm. We show that the similarity graph of the collaborative filtering is a circle when the data is projected into 2D space by dimensionality reduction methods. By app

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Aviation Communication Protection Protocol Based on?SM4 Cryptography Algorithmating in the restricted area. Nonetheless, there is a growing and increasingly complicated interchange of information between controllers and pilots. The demands of high-quality, high-capacity, and high-speed aircraft communication may be met by using digital data transmission, but it is impossible