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401
Autoencoders with shared and specific embeddings for multi-omics data integration
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402
Wind Turbine Fault Detection Through Autoencoder-Based Neural Network and FMSA
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403
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404
Robust Synthetic Data Generation for Sequential Financial Models Using Hybrid Variational Autoencoder–Markov Chain Monte Carlo Architectures
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405
Advanced Supply Chain Management Using Adaptive Serial Cascaded Autoencoder with LSTM and Multi-Layered Perceptron Framework
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406
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407
Design of an improved model using federated learning and LSTM autoencoders for secure and transparent blockchain network transactions
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408
Exploring deep generative models for improved data generation in hypertrophic cardiomyopathy
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409
Benchmarking Point Cloud Feature Extraction with Smooth Overlap of Atomic Positions (SOAP): A Pixel-Wise Approach for MNIST Handwritten Data
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410
Classification of cervical cancer using Dense CapsNet with Seg-UNet and denoising autoencoders
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411
Harnessing Generative Deep Learning for Enhanced Ensemble Data Assimilation
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412
Fine-Tuned Visual Transformer Masked Autoencoder Applied for Anomaly Detection in Satellite Images
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413
Machine Learning-Enriched Cybersecurity in Smart Grids
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414
Quantifying the spatial patterns of retinal ganglion cell loss and progression in optic neuropathy by applying a deep learning variational autoencoder approach to optical coherence...
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415
Micro-expression recognition based on self-supervised masked optical flow(基于自监督掩码光流的人脸微表情识别)
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416
Advancing Agile Software Cost Estimation Through Data Synthesis: A Comparative Analysis of Five Generation Techniques
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417
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418
Enhanced Interpretable Forecasting of Cryptocurrency Prices Using Autoencoder Features and a Hybrid CNN-LSTM Model
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419
FOCC: A Synthetically Balanced Federated One-Class-Classification for Cyber Threat Intelligence in Software Defined Networking
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420
Enhancing EEG-Based Emotion Detection with Hybrid Models: Insights from DEAP Dataset Applications
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