Search Results - Adversarial Constrained Autoencoder Interpolation*

Adversarial Adaptive Interpolation in Autoencoders for Dually Regularizing Representation Learning.

Authors: Li, Guanyue Wei, Xiwen Wu, Si et al.

Source: IEEE MultiMedia; Jul-Sep2022, Vol. 29 Issue 3, p57-68, 12p

Subject Terms: INTERPOLATION spaces, RANDOM variables, DATA distribution, INTERPOLATION

A Review of Neural Network-Based Image Noise Processing Methods.

Authors: Volkov, Anton A. Kozlov, Alexander V. Cheremkhin, Pavel A. et al.

Source: Sensors (14248220); Oct2025, Vol. 25 Issue 19, p6088, 37p

Subject Terms: CONVOLUTIONAL neural networks, DIGITAL image processing, SIGNAL filtering, AUTOENCODERS, ARTIFICIAL neural networks, GENERATIVE adversarial networks, IMAGE quality analysis

Information preservation with wasserstein autoencoders: generation consistency and adversarial robustness.

Authors: Chakrabarty, Anish Basu, Arkaprabha Das, Swagatam

Source: Statistics & Computing; Oct2025, Vol. 35 Issue 5, p1-27, 27p

Fault diagnosis using variational autoencoder GAN and focal loss CNN under unbalanced data.

Authors: Li, Weihan Liu, Dunke Li, Yang et al.

Source: Structural Health Monitoring; May2025, Vol. 24 Issue 3, p1859-1872, 14p

Subject Terms: CONVOLUTIONAL neural networks, GENERATIVE adversarial networks, FAULT diagnosis, AUTOENCODERS, GRAYSCALE model

Generative adversarial network constrained multiple loss autoencoder: A deep learning‐based individual atrophy detection for Alzheimer's disease and mild cognitive impairment.

Authors: Shi, Rong Sheng, Can Jin, Shichen et al.

Source: Human Brain Mapping; Feb2023, Vol. 44 Issue 3, p1129-1146, 18p

Subject Terms: GENERATIVE adversarial networks, ALZHEIMER'S disease, MILD cognitive impairment, ATROPHY, RECEIVER operating characteristic curves, GLUCOSE-6-phosphate dehydrogenase deficiency

Constrained adversarial learning for automated software testing: a literature review.

Authors: Vitorino, João Dias, Tiago Fonseca, Tiago et al.

Source: Discover Applied Sciences; Jun2025, Vol. 7 Issue 6, p1-17, 17p

Development of a hybrid model between generative adversarial networks (GANs) and Genetic Algorithms (GA) in apartment layout optimization.

Authors: Pham, Vu Hong Son Nguyen, Duy Hoa Vo, Thi Bich Huyen

Source: Cluster Computing; Feb2026, Vol. 29 Issue 1, p1-14, 14p

Subject Terms: GENERATIVE adversarial networks, GENETIC algorithms, FLOOR plans, MULTI-objective optimization

Super-Resolution Reconstruction of Formation MicroScanner Images Based on the SRGAN Algorithm.

Authors: Ma, Changqiang Qi, Xinghua Chen, Liangyu et al.

Source: Processes; Jul2025, Vol. 13 Issue 7, p2284, 26p

Subject Terms: HIGH resolution imaging, IMAGE reconstruction, PETROLEUM prospecting, HYDROCARBON reservoirs, GENERATIVE adversarial networks, IMAGE processing, STRUCTURAL geology

Edge-Based Real-Time Fault Detection in UAV Systems via B-Spline Telemetry Reconstruction and Lightweight Hybrid AI.

Authors: Reis, Manuel J. C. S. Reis, António J. D.

Source: Sensors (14248220); Aug2025, Vol. 25 Issue 16, p4944, 19p

Subject Terms: FAULT diagnosis, SIGNAL reconstruction, OUTLIER detection, REAL-time computing, INTERPOLATION, MICROCONTROLLERS, DRONE aircraft

A Daily Runoff Prediction Model for the Yangtze River Basin Based on an Improved Generative Adversarial Network.

Authors: Liu, Tong Cui, Xudong Mo, Li

Source: Sustainability (2071-1050); Apr2025, Vol. 17 Issue 7, p2990, 27p

An Azimuth-Continuously Controllable SAR Image Generation Algorithm Based on GAN.

Authors: Cui, Yongjie Liu, Zhiqu Ruan, Linian et al.

Source: Remote Sensing; Nov2025, Vol. 17 Issue 22, p3763, 19p

Subject Terms: SYNTHETIC aperture radar, AZIMUTH, GENERATIVE adversarial networks, DATA augmentation, DEEP learning

Comparative Analysis of Recurrent vs. Temporal Convolutional Autoencoders for Detecting Container Impacts During Quay Crane Handling.

Authors: Jakovlev, Sergej Eglynas, Tomas Pocevicius, Edvinas et al.

Source: Journal of Marine Science & Engineering; Jul2025, Vol. 13 Issue 7, p1231, 23p

Subject Terms: AUTOENCODERS, EDGE computing, CONVOLUTIONAL neural networks, CRANES (Machinery), OUTLIER detection, SHIPPING containers, REAL-time computing

Three-Dimensional Spatio-Temporal Slim Weighted Generative Adversarial Imputation Network: Spatio-Temporal Silm Weighted Generative Adversarial Imputation Net to Repair Missing Ocean Current Data.

Authors: Yue, Yiwan Li, Juan Zhang, Yu et al.

Source: Journal of Marine Science & Engineering; May2025, Vol. 13 Issue 5, p911, 28p

Subject Terms: GENERATIVE adversarial networks, THREE-dimensional flow, OCEAN currents, SENSOR arrays, MISSING data (Statistics)

Generative AI in depth: A survey of recent advances, model variants, and real-world applications.

Authors: Yazdani, Shamim Singh, Akansha Saxena, Nripsuta et al.

Source: Journal of Big Data; 10/8/2025, Vol. 12 Issue 1, p1-43, 43p

Subject Terms: GENERATIVE artificial intelligence, GENERATIVE adversarial networks, PROBABILISTIC generative models, LATENT variables, ETHICAL problems, DEEP learning

Alleviate Data Scarcity in Remanufacturing: Classifying the Reusability of Parts with Data-Efficient Generative Adversarial Networks (DE-GANs).

Authors: Herold, Maximilian Ahmeti, Engjëll Kolakaleti, Naga Sai Teja et al.

Source: Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 17, p9833, 31p

Subject Terms: REMANUFACTURING, GENERATIVE adversarial networks, CIRCULAR economy, CLASSIFICATION, HETEROGENEITY, DEEP learning

Trajectory generative models: a survey from unconditional and conditional perspectives.

Authors: Zhu, Weiping Jiang, Renhe Li, Dongyuan et al.

Source: GeoInformatica; Oct2025, Vol. 29 Issue 4, p1033-1065, 33p

Subject Terms: GENERATIVE adversarial networks, INTELLIGENT transportation systems, STOCHASTIC models, TRAJECTORIES (Mechanics), PROBABILISTIC generative models

Single-layer KAN for deepfake classification: Balancing efficiency and performance in resource constrained environments.

Authors: Jabbar, Nadeem Bhatti, Sohail Masood Rashid, Muhammad et al.

Source: PLoS ONE; 7/9/2025, Vol. 19 Issue 7, p1-26, 26p

Subject Terms: ARTIFICIAL intelligence, CONVOLUTIONAL neural networks, DEEPFAKES, SUSTAINABLE development, SMARTPHONES

Robust Synthetic Data Generation for Sequential Financial Models Using Hybrid Variational Autoencoder–Markov Chain Monte Carlo Architectures.

Authors: Bruni Prenestino, Francesco Barbierato, Enrico Gatti, Alice

Source: Future Internet; Feb2025, Vol. 17 Issue 2, p95, 31p

Subject Terms: MARKOV chain Monte Carlo, GENERATIVE adversarial networks, DATA privacy, TIME series analysis, MACHINE learning

On the adversarial robustness of generative autoencoders in the latent space.

Authors: Lu, Mingfei Chen, Badong

Source: Neural Computing & Applications; May2024, Vol. 36 Issue 14, p8109-8123, 15p

Subject Terms: COMPRESSED sensing, SIGNALS & signaling, LATENT variables

Predicting the damage effect of the total ionizing dose of bipolar junction transistors based on multi-strategy fusion optimization.

Authors: Liu, Shuai Cao, Fei Wang, Zujun et al.

Source: AIP Advances; Jul2025, Vol. 15 Issue 7, p1-16, 16p

Subject Terms: BIPOLAR transistors, IONIZING radiation dosage, BOOSTING algorithms, RADIATION hardening (Materials), GENERATIVE adversarial networks, GENETIC algorithms, SAMPLE size (Statistics), MATHEMATICAL optimization