Výsledky vyhľadávania - deep convolutional variational autoencoder (dive)*

ProT-VAE: Protein Transformer Variational AutoEncoder for functional protein design.

Autori: Sevgen, Emre Moller, Joshua Lange, Adrian a ďalší

Zdroj: Proceedings of the National Academy of Sciences of the United States of America; 10/14/2025, Vol. 122 Issue 41, p1-10, 21p

Predmety: PROTEIN engineering, SYNTHETIC proteins, TRANSFORMER models, ENZYME biotechnology, FUNCTIONAL assessment, LATENT variables, MACHINE learning, PROBABILISTIC generative models

Optimizing network bandwidth slicing identification: NADAM-enhanced CNN and VAE data preprocessing for enhanced interpretability.

Autori: Islam, Md. Fahim Ul Hossain, Shahriar Alam, Md. Golam Rabiul a ďalší

Zdroj: PLoS ONE; 10/21/2025, Vol. 20 Issue 10, p1-38, 38p

Predmety: ARTIFICIAL intelligence, BANDWIDTH allocation, ELECTRONIC data processing, CONVOLUTIONAL neural networks, QUALITY of service, OPTIMIZATION algorithms, LATENT variables

Aerodynamic shape optimization using graph variational autoencoders and genetic algorithms.

Autori: Jabón, Jorge Corbera, Sergio Álvarez, Roberto a ďalší

Zdroj: Structural & Multidisciplinary Optimization; Mar2024, Vol. 67 Issue 3, p1-18, 18p

Multiscale neural assimilation scheme for high-resolution sea surface temperature reconstruction from satellite observations.

Autori: Beauchamp, Maxime Karagali, Ioanna Gacitúa, Guisella a ďalší

Zdroj: Scientific Reports; 11/14/2025, Vol. 15 Issue 1, p1-17, 17p

Synthetic dual image generation for reduction of labeling efforts in semantic segmentation of micrographs with a customized metric function.

Autori: Volman Stern, Matias Oscar Hohs, Dominic Jansche, Andreas a ďalší

Zdroj: Methods in Microscopy; Jul2025, Vol. 2 Issue 2, p165-182, 18p

Predmety: MICROGRAPHICS, IMAGE analysis, DEEP learning, DATA augmentation, COMPUTER vision

Vector-Quantized Variational Teacher and Multimodal Collaborative Student for Crack Segmentation via Knowledge Distillation.

Autori: Qiu, Shi Zaheer, Qasim Shah, S. Muhammad Ahmed Hassan a ďalší

Zdroj: Journal of Computing in Civil Engineering; May2025, Vol. 39 Issue 3, p1-22, 22p

Predmety: STRUCTURAL health monitoring, AUTOENCODERS

Denoising Autoencoder for Reconstructing Sensor Observation Data and Predicting Evapotranspiration: Noisy and Missing Values Repair and Uncertainty Quantification.

Autori: Johnsen, Timothy K. Bi, Xiangyu Chou, Chunwei a ďalší

Zdroj: Water Resources Research; Oct2025, Vol. 61 Issue 10, p1-23, 23p

Predmety: EVAPOTRANSPIRATION, AUTOENCODERS, STOCHASTIC analysis, MACHINE learning, HYDROLOGICAL forecasting, NOISE control, TELEMETRY

User Invariant Preference Learning for Multi-Behavior Recommendation.

Autori: Yan, Mingshi Cheng, Zhiyong Liu, Fan a ďalší

Zdroj: ACM Transactions on Information Systems; Jul2025, Vol. 43 Issue 4, p1-24, 24p

Predmety: AUTOENCODERS, INDIVIDUALITY, NOISE, FORECASTING, RECOMMENDER systems

Machine Learning Classifiers and Data Synthesis Techniques to Tackle with Highly Imbalanced COVID-19 Data.

Autori: Naghipour, Avaz Soflaei, Mohammad Reza Abbaszadeh Bavil ghader-zefrehei, mostafa

Zdroj: Computer & Knowledge Engineering; Dec2024, Vol. 7 Issue 2, p51-64, 14p

Predmety: GENERATIVE adversarial networks, ARTIFICIAL intelligence, MACHINE learning, COVID-19 pandemic, AUTOENCODERS

Exploring deep convolutional generative adversarial networks (DCGAN) in biometric systems: a survey study.

Autori: Jenkins, John Roy, Kaushik

Zdroj: Discover Artificial Intelligence; 5/28/2024, Vol. 4 Issue 1, p1-22, 22p

Predmety: GENERATIVE adversarial networks, MACHINE learning, FACE perception, BIOMETRIC identification, CONVOLUTIONAL neural networks, BIOMETRY

Bolstering IoT security with IoT device type Identification using optimized Variational Autoencoder Wasserstein Generative Adversarial Network.

Autori: Sankar, Jothi Shri Dhatchnamurthy, Saravanan X, Anitha Mary a ďalší

Zdroj: Network: Computation in Neural Systems; Aug2024, Vol. 35 Issue 3, p278-299, 22p

Enhancing Intrusion Detection System Transparency Using SHAP-Driven Support Vector Machine Tuned by Harris Hawks Optimization.

Autori: Hasan, Noor Flayyih

Zdroj: Journal of Intelligent Systems & Internet of Things; 2026, Vol. 18 Issue 1, p34-47, 14p

Predmety: INTRUSION detection systems (Computer security), SUPPORT vector machines, OPTIMIZATION algorithms, LATENT variables, DATA quality, COMPUTER network security, FEATURE selection

A Novel Interpretable Graph Convolutional Neural Network for Multimodal Brain Tumor Segmentation.

Autori: Arshad Choudhry, Imran Iqbal, Saeed Alhussein, Musaed a ďalší

Zdroj: Cognitive Computation; Feb2025, Vol. 17 Issue 1, p1-25, 25p

Pythia: An Edge-First Agent for State Prediction in High-Dimensional Environments.

Autori: Karatzas, Andreas Anagnostopoulos, Iraklis

Zdroj: IEEE Embedded Systems Letters; Dec2024, Vol. 16 Issue 4, p473-476, 4p

Generating tertiary protein structures via interpretable graph variational autoencoders.

Autori: Xiaojie Guo Yuanqi Du Tadepalli, Sivani a ďalší

Zdroj: Bioinformatics Advances; 2021, Vol. 1 Issue 1, p1-9, 9p

Predmety: PROTEINS, COMPUTER vision, IMAGE processing, MOTION analysis, MACHINE learning

AI-Driven Bayesian Deep Learning for Lung Cancer Prediction: Precision Decision Support in Big Data Health Informatics.

Autori: Amasiadi, Natalia Aslani-Gkotzamanidou, Maria Theodorakopoulos, Leonidas a ďalší

Zdroj: BioMedInformatics; Sep2025, Vol. 5 Issue 3, p39, 38p

Learning features from georeferenced seafloor imagery with location guided autoencoders.

Autori: Yamada, Takaki Prügel‐Bennett, Adam Thornton, Blair

Zdroj: Journal of Field Robotics; Jan2021, Vol. 38 Issue 1, p52-67, 16p

Predmety: CONVOLUTIONAL neural networks, CONTENT-based image retrieval, AUTONOMOUS underwater vehicles, GAS hydrates, MACHINE learning, OCEAN bottom

A Two-Stage Hybrid Federated Learning Framework for Privacy-Preserving IoT Anomaly Detection and Classification.

Autori: Shahin, Mohammad Hosseinzadeh, Ali Chen, F. Frank

Zdroj: Internet of Things (IoT); Sep2025, Vol. 6 Issue 3, p48, 56p

Predmety: FEDERATED learning, INTERNET of things, ANOMALY detection (Computer security), HISTOGRAMS, DATA security, ARTIFICIAL intelligence, PROBABILISTIC generative models

Adaptive Multimodal Sentiment Analysis: Improving Fusion Accuracy with Dynamic Attention for Missing Modality.

Autori: Golagana, Vani Row, S. Viziananda Rao, P. Srinivasa

Zdroj: Journal of Electrical Systems; 2024 Supplement, Vol. 20, p134-147, 14p

Predmety: NATURAL language processing, SENTIMENT analysis, CONVOLUTIONAL neural networks, MISSING data (Statistics), CLASSIFICATION algorithms

NEURAL NETWORKS AND DEEP LEARNING: THEORITICAL INSIGHTS AND FRAMEWORKS

Autori: Dr. VISHWAS MISHRA

Predmety: 4. Education