Výsledky vyhľadávania - "Convolutional Variational Autoencoder (CVAE)"

Unsupervised few shot learning architecture for diagnosis of periodontal disease in dental panoramic radiographs

Autori: Min Joo Kim Sun Geu Chae Suk Joo Bae a ďalší

Zdroj: Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)

Predmety: Artificial intelligence, Clustering algorithm, Convolutional variational autoencoder (CVAE), Deep learning, UNet, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/69fe8ccf934248c4b303fd8fb5c2ccf9

Deep Learning Techniques for Radar-Based Continuous Human Activity Recognition

Autori: Ruchita Mehta Sara Sharifzadeh Vasile Palade a ďalší

Prispievatelia: Ruchita Mehta Sara Sharifzadeh Vasile Palade a ďalší

Zdroj: Machine Learning and Knowledge Extraction, Vol 5, Iss 4, Pp 1493-1518 (2023)

Predmety: TK7885-7895, convolutional variational autoencoder (CVAE), Computer engineering. Computer hardware, mm-wave radar sensor, 213 Electronic, automation and communications engineering, electronics, human activity recognition (HAR), deep neural networks (DNNs), dynamic time warping (DTW)

Popis súboru: fulltext

Prístupová URL adresa: https://doaj.org/article/9a0aec6ac3e44c41a3bccee25a3ede53
https://cronfa.swan.ac.uk/Record/cronfa64788/Download/64788__28975__476c24a4c3bc4fca91c2c26f76f06c34.pdf
https://trepo.tuni.fi/handle/10024/154344

Generative music techniques: sample synthesis using autoencoders

Autori: Rivadulla Duró, Clara Álvarez Napagao, Sergio Universitat Politècnica de Catalunya. Departament de Ciències de la Computació

Prispievatelia: Rivadulla Duró, Clara Álvarez Napagao, Sergio Universitat Politècnica de Catalunya. Departament de Ciències de la Computació

Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Predmety: Artificial intelligence, Text-to-speech software, Deep learning (Machine learning), Intel·ligència artificial, Intel·ligència Artificial Generativa, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial, Autoencoders, Music Representation, Convolutional Autoencoder (CAE), Síntesi d'àudio, Representació musical, Drum Sample Synthesis, Convolutional Variational Autoencoder (CVAE), Algorithmic Composition, Generative Artificial Intelligence, Deep Learning, Producció musical amb IA, AI-Driven Music Production, Composició algorítmica, Síntesi de la parla (Programari), Aprenentatge profund

Popis súboru: application/pdf

Prístupová URL adresa: https://hdl.handle.net/2117/420327

Metaevaluation: a comprehensive evaluation of health indicator on real options-based maintenance scheduling and health prognostics of bearing degradation.

Autori: Chen, Yen-Wen Lee, Chia-Yen Chu, Pin-Chi a ďalší

Zdroj: International Journal of Production Research. Nov2025, p1-26. 26p. 15 Illustrations.

Predmety: *UNCERTAINTY (Information theory), EVALUATION methodology, CONDITION-based maintenance, MECHANICAL vibration research

Markov-CVAELabeller: A Deep Learning Approach for the Labelling of Fault Data.

Autori: Velasco-Gallego, Christian Cubo-Mateo, Nieves

Zdroj: Informatics; Jun2025, Vol. 12 Issue 2, p35, 17p

Predmety: CONVOLUTIONAL neural networks, TIME series analysis, ARTIFICIAL intelligence, DEEP learning, AUTOENCODERS

Unsupervised detection of high-frequency oscillations in intracranial electroencephalogram: promoting a valuable automated diagnostic tool for epilepsy.

Autori: Chen, Wenjing Kang, Tongzhou Heyat, Md Belal Bin a ďalší

Zdroj: Frontiers in Neurology; 2025, p1-11, 11p

Predmety: K-means clustering, WAVELET transforms, AUTOENCODERS, MACHINE learning, PEOPLE with epilepsy

Failure Detection in Sensors via Variational Autoencoders and Image-Based Feature Representation.

Autori: Moreno Haro, Luis Miguel Oliveira-Filho, Adaiton Agard, Bruno a ďalší

Zdroj: Sensors (14248220); Apr2025, Vol. 25 Issue 7, p2175, 20p

Predmety: AUTOENCODERS, FAILURE mode & effects analysis, IMAGE representation, KURTOSIS, DETECTORS

Investigation of convolutional variational autoencoders for facies calibration within ensemble-smoother multiple data assimilation.

Autori: Abbate, Emanuela Dovera, Laura Di Curzio, Davide a ďalší

Zdroj: Computational Geosciences. Oct2025, Vol. 29 Issue 5, p1-22. 22p.

Target localization and defect detection of distribution insulators based on ECA‐SqueezeNet and CVAE‐GAN.

Autori: Zhang, Chao Liu, Yu Liu, Honggang

Zdroj: IET Image Processing (Wiley-Blackwell); 11/13/2024, Vol. 18 Issue 13, p3864-3877, 14p

Predmety: GENERATIVE adversarial networks, COMPUTER vision, ELECTRIC insulators & insulation, IMAGE registration, COMPUTER networking equipment

A Dual-Module System for Copyright-Free Image Recommendation and Infringement Detection in Educational Materials.

Autori: Kim, Yeongha Kim, Soyeon Min, Seonghyun a ďalší

Zdroj: Journal of Imaging; Nov2024, Vol. 10 Issue 11, p277, 20p

Predmety: COPYRIGHT infringement, TRANSFORMER models, COPYRIGHT, IMAGE retrieval, SATISFACTION

Unsupervised few shot learning architecture for diagnosis of periodontal disease in dental panoramic radiographs.

Autori: Kim, Min Joo Chae, Sun Geu Bae, Suk Joo a ďalší

Zdroj: Scientific Reports; 10/5/2024, Vol. 14 Issue 1, p1-15, 15p

Predmety: MACHINE learning, TRANSFORMER models, ARTIFICIAL intelligence, SUPERVISED learning, COMPUTER-assisted image analysis (Medicine), DEEP learning

Generative music techniques: sample synthesis using autoencoders

Autori: Universitat Politècnica de Catalunya. Departament de Ciències de la Computació Álvarez Napagao, Sergio Rivadulla Duró, Clara

Témy: Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial, Artificial intelligence, Text-to-speech software, Deep learning (Machine learning), Generative Artificial Intelligence, Drum Sample Synthesis, Music Representation, Algorithmic Composition, Deep Learning, Autoencoders, Convolutional Autoencoder (CAE), Convolutional Variational Autoencoder (CVAE), AI-Driven Music Production, Intel·ligència Artificial Generativa, Síntesi d'àudio, Representació musical, Composició algorítmica, Producció musical amb IA, Intel·ligència artificial, Síntesi de la parla (Programari), Aprenentatge profund, Master thesis

URL: https://hdl.handle.net/2117/420327

Failure detection in sensors via variational autoencoders and image-based feature representation

Autori: Haro, Luis Miguel Moreno Oliveira-Filho, Adaiton Agard, Bruno a ďalší

Témy: Article publié dans une revue, révisé par les pairs, Non évalué par les pairs

URL: https://espace2.etsmtl.ca/id/eprint/30855/
https://doi.org/10.3390/s25072175
https://espace2.etsmtl.ca/id/eprint/30855
https://doi.org/10.3390/s25072175
10.3390/s25072175

Convolutional variational autoencoder for ground motion classification and generation toward efficient seismic fragility assessment.

Autori: Ning, Chunxiao Xie, Yazhou

Zdroj: Computer-Aided Civil & Infrastructure Engineering; Jan2024, Vol. 39 Issue 2, p165-185, 21p

Predmety: GROUND motion, LATENT variables, CONCRETE construction, K-means clustering, EARTHQUAKE magnitude

Deep Learning Techniques for Radar-Based Continuous Human Activity Recognition †.

Autori: Mehta, Ruchita Sharifzadeh, Sara Palade, Vasile a ďalší

Zdroj: Machine Learning & Knowledge Extraction; Dec2023, Vol. 5 Issue 4, p1493-1518, 26p

Predmety: DEEP learning, HUMAN activity recognition, ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, FEATURE extraction, DOPPLER radar

Hybrid Learning Models for IMU-Based HAR with Feature Analysis and Data Correction.

Autori: Tseng, Yu-Hsuan Wen, Chih-Yu

Zdroj: Sensors (14248220); Sep2023, Vol. 23 Issue 18, p7802, 22p

Predmety: BLENDED learning, HUMAN activity recognition, DATA analysis, GENERATIVE adversarial networks, UNITS of measurement

Emulation of greenhouse‐gas sensitivities using variational autoencoders.

Autori: Cartwright, Laura Zammit‐Mangion, Andrew Deutscher, Nicholas M.

Zdroj: Environmetrics; Mar2023, Vol. 34 Issue 2, p1-17, 17p

Predmety: GAUSSIAN processes, ORTHOGONAL functions, SPATIOTEMPORAL processes, MOLE fraction, LATENT variables, CHROMOSOME inversions

A Generative Meta‐Atom Model for Metasurface‐Based Absorber Designs.

Autori: Ding, Wei Chen, Jian Wu, Rui‐xin

Zdroj: Advanced Optical Materials; Jan2023, Vol. 11 Issue 2, p1-10, 10p

Predmety: EVOLUTIONARY algorithms, TOPOLOGICAL spaces

Wheel impact test by deep learning: prediction of location and magnitude of maximum stress.

Autori: Shin, Seungyeon Jin, Ah-hyeon Yoo, Soyoung a ďalší

Zdroj: Structural & Multidisciplinary Optimization; Jan2023, Vol. 66 Issue 1, p1-20, 20p

CBOL-Tuner: Classifier-pruned Bayesian optimization to explore temporally structured latent spaces for particle accelerator tuning

Autori: Rautela, Mahindra Williams, Alan Scheinker, Alexander

Témy: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2412.01748