Suchergebnisse - "convolutional variational autoencoder (CVAE)"

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

Autoren: Min Joo Kim Sun Geu Chae Suk Joo Bae et al.

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/69fe8ccf934248c4b303fd8fb5c2ccf9

Deep Learning Techniques for Radar-Based Continuous Human Activity Recognition

Autoren: Ruchita Mehta Sara Sharifzadeh Vasile Palade et al.

Weitere Verfasser: Ruchita Mehta Sara Sharifzadeh Vasile Palade et al.

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

Schlagwörter: 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)

Dateibeschreibung: fulltext

Zugangs-URL: 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

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

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

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

Schlagwörter: 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

Dateibeschreibung: application/pdf

Zugangs-URL: 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.

Autoren: Chen, Yen-Wen Lee, Chia-Yen Chu, Pin-Chi et al.

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

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

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

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

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

Schlagwörter: 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.

Autoren: Chen, Wenjing Kang, Tongzhou Heyat, Md Belal Bin et al.

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

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

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

Autoren: Moreno Haro, Luis Miguel Oliveira-Filho, Adaiton Agard, Bruno et al.

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

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

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

Autoren: Abbate, Emanuela Dovera, Laura Di Curzio, Davide et al.

Quelle: 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.

Autoren: Zhang, Chao Liu, Yu Liu, Honggang

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

Schlagwörter: 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.

Autoren: Kim, Yeongha Kim, Soyeon Min, Seonghyun et al.

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

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

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

Autoren: Kim, Min Joo Chae, Sun Geu Bae, Suk Joo et al.

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

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

Generative music techniques: sample synthesis using autoencoders

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

Index Begriffe: 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

Autoren: Haro, Luis Miguel Moreno Oliveira-Filho, Adaiton Agard, Bruno et al.

Index Begriffe: 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.

Autoren: Ning, Chunxiao Xie, Yazhou

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

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

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

Autoren: Mehta, Ruchita Sharifzadeh, Sara Palade, Vasile et al.

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

Schlagwörter: 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.

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

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

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

Emulation of greenhouse‐gas sensitivities using variational autoencoders.

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

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

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

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

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

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

Schlagwörter: EVOLUTIONARY algorithms, TOPOLOGICAL spaces

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

Autoren: Shin, Seungyeon Jin, Ah-hyeon Yoo, Soyoung et al.

Quelle: 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

Autoren: Rautela, Mahindra Williams, Alan Scheinker, Alexander

Index Begriffe: Computer Science - Machine Learning, text

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