Vibration-Based Anomaly Detection in Industrial Machines: A Comparison of Autoencoders and Latent Spaces by Luca Radicioni, Francesco Morgan Bono, Simone Cinquemani

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Detection of Attacks in Network Traffic with the Autoencoder-Based Unsupervised Learning Method by Yalçın Özkan

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One-Shot Learning from Prototype Stock Keeping Unit Images by Aleksandra Kowalczyk, Grzegorz Sarwas

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Self-Supervised Autoencoders for Visual Anomaly Detection by Alexander Bauer, Shinichi Nakajima, Klaus-Robert Müller

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WEISS: Wasserstein efficient sampling strategy for LLMs in drug design by Riccardo Tedoldi, Junyong Li, Ola Engkvist, Andrea Passerini, Annie M Westerlund, Alessandro Tibo

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MONITORING DATA AGGREGATION OF DYNAMIC SYSTEMS USING INFORMATION TECHNOLOGIES by Dmytro Shevchenko, Mykhaylo Ugryumov, Sergii Artiukh

Subjects: “…data dimensionality reduction; deep learning; autoencoders…”
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Deep Autoencoders for Unsupervised Anomaly Detection in Wildfire Prediction by İrem Üstek, Miguel Arana‐Catania, Alexander Farr, Ivan Petrunin

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Meta-learning approach for variational autoencoder hyperparameter tuning by Michele Berti, Matheus Camilo da Silva, Sebastiano Saccani, Sylvio Barbon Junior

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Prediction of hub genes in pulpal inflammation and regeneration using autoencoders and a generative AI approach by Pradeep K. Yadalam, Jogikalmat Krithikadatta, Prabhu M. Natarajan, Carlos M. Ardila

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Synergizing Attribute-Guided Latent Space Exploration (AGLSE) with Classical Molecular Simulations to Design Potent Pep-Magnet Peptide Inhibitors to Abrogate SARS-CoV-2 Host Cell E... by Farhan Ullah, Aobo Xiao, Shahid Ullah, Na Yang, Min Lei, Liang Chen, Sheng Wang

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Hybrid Artificial-Intelligence-Based System for Unmanned Aerial Vehicle Detection, Localization, and Tracking Using Software-Defined Radio and Computer Vision Techniques by Pablo López-Muñoz, Luis Gimeno San Frutos, Christian Abarca, Francisco José Alegre, Jose Luis Calle, Jose F. Monserrat

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Estimating cover image for universal payload region detection in stego images by Punam Bedi, Anuradha Singhal

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Variational graph autoencoder for reconstructed transcriptomic data associated with NLRP3 mediated pyroptosis in periodontitis by Pradeep K. Yadalam, Prabhu Manickam Natarajan, Carlos M. Ardila

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A new band selection approach integrated with physical reflectance autoencoders and albedo recovery for hyperspectral image classification by V. Sangeetha, L. Agilandeeswari

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Autoencoders with shared and specific embeddings for multi-omics data integration by Chao Wang, Michael J. O’Connell

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Wind Turbine Fault Detection Through Autoencoder-Based Neural Network and FMSA by Welker Facchini Nogueira, Arthur Henrique de Andrade Melani, Gilberto Francisco Martha de Souza

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Deep Learning for Lossless Audio Compression by Ali A. Obaid, Hasan M. Kadhim

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Robust Synthetic Data Generation for Sequential Financial Models Using Hybrid Variational Autoencoder–Markov Chain Monte Carlo Architectures by Francesco Bruni Prenestino, Enrico Barbierato, Alice Gatti

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Design of an improved model using federated learning and LSTM autoencoders for secure and transparent blockchain network transactions by R. Vijay Anand, G. Magesh, I. Alagiri, Madala Guru Brahmam, Balamurugan Balusamy, Chithirai Pon Selvan, Haya Mesfer Alshahrani, Masresha Getahun, Ben Othman Soufiene

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Exploring deep generative models for improved data generation in hypertrophic cardiomyopathy by Swarajya Madhuri Rayavarapu, Gottapu Sasibhushana Rao

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