Výsledky vyhledávání - "conditional variational autoencoder"

Intelligent Condition-Based Monitoring of Rotary Machines With Few Samples Autor Dixit, Sonal, Verma, Nishchal K.

“…Recently, intelligent condition based monitoring systems build on deep learning methods have gained popularity. The success of these methods relies upon the…”
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Improving the Classification Effectiveness of Intrusion Detection by Using Improved Conditional Variational AutoEncoder and Deep Neural Network Autor Yang, Yanqing, Zheng, Kangfeng, Wu, Chunhua, Yang, Yixian

“…Intrusion detection systems play an important role in preventing security threats and protecting networks from attacks. However, with the emergence of unknown…”
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Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT Autor Lopez-Martin, Manuel, Carro, Belen, Sanchez-Esguevillas, Antonio, Lloret, Jaime

“…The purpose of a Network Intrusion Detection System is to detect intrusive, malicious activities or policy violations in a host or host’s network. In current…”
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On IoT intrusion detection based on data augmentation for enhancing learning on unbalanced samples Autor Zhang, Ying, Liu, Qiang

“…Internet of things (IoT) security is a prerequisite for the rapid development of the IoT to enhance human well-being. Machine learning-based intrusion…”
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A balanced mineral prospectivity model of Canadian magmatic Ni (± Cu ± Co ± PGE) sulphide mineral systems using conditional variational autoencoders Autor Nagasingha, Lahiru M.A., Bérubé, Charles L., Lawley, Christopher J.M.

“…With the increasing demand for raw materials, innovative exploration techniques are needed to discover large mineral deposits that are accessible from the…”
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Learning a Probabilistic Model for Diffeomorphic Registration Autor Krebs, Julian, Delingette, Herve, Mailhe, Boris, Ayache, Nicholas, Mansi, Tommaso

“…We propose to learn a low-dimensional probabilistic deformation model from data which can be used for the registration and the analysis of deformations. The…”
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Multi-modal graph convolutional network for vessel trajectory prediction based on cooperative intention enhance using conditional variational autoencoder Autor Jiang, Junhao, Zuo, Yi, Li, Zhiyuan

“…Advances in maritime instrumentation and measurement (I&M), particularly through the widespread adoption of automatic identification system (AIS), have…”
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Conditional variational autoencoder with Gaussian process regression recognition for parametric models Autor Zhang, Xuehan, Jiang, Lijian

“…In this article, we present a data-driven method for parametric models with noisy observation data. Gaussian process regression based reduced order modeling…”
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Improving Multi-agent Trajectory Prediction using Traffic States on Interactive Driving Scenarios Autor Vishnu, Chalavadi, Abhinav, Vineel, Roy, Debaditya, Mohan, C. Krishna, Babu, Ch. Sobhan

“…Predicting trajectories of multiple agents in interactive driving scenarios such as intersections, and roundabouts are challenging due to the high density of…”
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Machine learning-based mechanical performance prediction and design of lattice structures Autor Liu, Yifan, Huang, Wei, Wang, Zhiyong, Zhang, Jie, Liu, Jiayi

“…•A data-driven framework enables elastic modulus prediction and inverse design of lattice cells.•The designed neural network model achieves superior prediction…”
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Obstacle Avoidance Learning for Robot Motion Planning in Human-Robot Integration Environments Autor Hong, Yang, Ding, Zhiyu, Yuan, Yuan, Chi, Wenzheng, Sun, Lining

“…In the human-robot integration environment, it is essential for mobile robots to pass through the crowd and complete the navigation task smoothly. However, the…”
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Conditional variational autoencoder for query expansion in ad-hoc information retrieval Autor Ou, Wei, Huynh, Van-Nam

“…Query expansion (QE) is commonly used to improve the performance of traditional information retrieval (IR) models. With the adoption of deep learning in IR…”
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Molecular generative model based on conditional variational autoencoder for de novo molecular design Autor Lim, Jaechang, Ryu, Seongok, Kim, Jin Woo, Kim, Woo Youn

“…We propose a molecular generative model based on the conditional variational autoencoder for de novo molecular design. It is specialized to control multiple…”
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Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Conditional Variational Autoencoders-Particle Filter Autor Jiao, Ruihua, Peng, Kaixiang, Dong, Jie

“…Accurate prediction of remaining useful life (RUL) is of great significance to the safety and reliability of lithium-ion batteries, which is able to provide…”
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Design Space Exploration and Explanation via Conditional Variational Autoencoders in Meta-Model-Based Conceptual Design of Pedestrian Bridges Autor Balmer, Vera, Kuhn, Sophia V., Bischof, Rafael, Salamanca, Luis, Kaufmann, Walter, Perez-Cruz, Fernando, Kraus, Michael A.

“…Today, engineers rely on conventional iterative (often manual) techniques for conceptual design. Emerging parametric models facilitate design space exploration…”
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A boosting resampling method for regression based on a conditional variational autoencoder Autor Huang, Yang, Liu, Duen-Ren, Lee, Shin-Jye, Hsu, Chia-Hao, Liu, Yang-Guang

“…•Proposes a novel resampling method based on a deep generative model to deal with the imbalanced regression data sets.•Improves the effect of undersampling and…”
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CSR: Cascade Conditional Variational Auto Encoder with Socially-aware Regression for Pedestrian Trajectory Prediction Autor Zhou, Hao, Ren, Dongchun, Yang, Xu, Fan, Mingyu, Huang, Hai

“…•The proposed trajectory prediction method consists of a cascaded CVAE module and a socially aware regression module.•The cascaded CVAE module decouples and…”
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Bayesian Posterior Distribution Estimation of Kinetic Parameters in Dynamic Brain PET Using Generative Deep Learning Models Autor Djebra, Yanis, Liu, Xiaofeng, Marin, Thibault, Tiss, Amal, Dhaynaut, Maeva, Guehl, Nicolas, Johnson, Keith, Fakhri, Georges El, Ma, Chao, Ouyang, Jinsong

“…Positron Emission Tomography (PET) is a valuable imaging method for studying molecular-level processes in the body, such as hyperphosphorylated tau (ptau)…”
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Conditional Variational Autoencoder and generative adversarial network-based approach for long-tailed fault diagnosis for the motor system Autor Huang, Mei, Sheng, Chenxing, Rao, Xiang

“…This study addresses the challenge of diagnosing motor faults in long-tailed data distributions, characterized by dominant healthy states and rare fault types…”
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An anomaly detection method for gas turbines in power plants using conditional variational autoencoder optimized with self-attention Autor Chen, Dongchao, Li, Xiuxia, Xu, Jingquan, Wang, Zhong

“…An innovative anomaly detection (AD) framework designed for gas turbines (GTs) in power plants working under variable operating conditions (OCs) was proposed…”
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