Suchergebnisse - "Convolutional denoising autoencoder (DAE)"

Survival prediction for patients with glioblastoma multiforme using a Cox proportional hazards denoising autoencoder network.

Autoren: Ting Yan Zhenpeng Yan Lili Liu et al.

Quelle: Frontiers in Computational Neuroscience; 1/10/2023, Vol. 16, p01-12, 12p

Schlagwörter: NOMOGRAPHY (Mathematics), GLIOBLASTOMA multiforme, PROPORTIONAL hazards models, MAGNETIC resonance imaging, RECEIVER operating characteristic curves, SCATTER diagrams

A Data Augmentation-Based Method for Robust Device-Free Localization in Changing Environments of Passive Radio Frequency Identification System.

Autoren: Ma, Yongtao Ning, Wanru Wang, Bobo et al.

Quelle: IEEE Transactions on Instrumentation & Measurement; 2021, Vol. 70, p1-13, 13p

Schlagwörter: CONVOLUTIONAL neural networks, RADIO frequency identification systems, DATA augmentation, FEATURE extraction, FINGERPRINT databases, RADIO advertising

A review of deep learning for brain tumor analysis in MRI.

Autoren: Dorfner, Felix J. Patel, Jay B. Kalpathy-Cramer, Jayashree et al.

Quelle: NPJ Precision Oncology; 1/3/2025, Vol. 9 Issue 1, p1-13, 13p

Schlagwörter: MEDICAL sciences, MAGNETIC resonance imaging, BRAIN tumors, DEEP learning, GENETIC mutation

Galaxy Model Subtraction with a Convolutional Denoising Autoencoder

Autoren: Liu, Rongrong Peng, Eric W. Wang, Kaixiang et al.

Schlagwörter: Instrumentation and Methods for Astrophysics, Astrophysics of Galaxies

Relation: http://arxiv.org/abs/2510.04957

Verfügbarkeit: http://arxiv.org/abs/2510.04957

Survival prediction of glioblastoma patients using machine learning and deep learning: a systematic review.

Autoren: Poursaeed, Roya Mohammadzadeh, Mohsen Safaei, Ali Asghar

Quelle: BMC Cancer; 12/27/2024, Vol. 24 Issue 1, p1-36, 36p

Schlagwörter: MEDICAL sciences, DEEP learning, BRAIN tumors, ARTIFICIAL intelligence, GLIOBLASTOMA multiforme

Galaxy Model Subtraction with a Convolutional Denoising Autoencoder

Autoren: Rongrong Liu Eric W. Peng Kaixiang Wang et al.

Quelle: The Astrophysical Journal, Vol 994, Iss 2, p 235 (2025)

Schlagwörter: Convolutional neural networks, Astronomy data analysis, Astronomy image processing, Dwarf galaxies, Globular star clusters, Astrophysics, QB460-466

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1538-4357

Zugangs-URL: https://doaj.org/article/0580badee5354f009df833443f66c8fd

Suppression of wind turbine noise from seismological data using nonlinear thresholding and denoising autoencoder.

Autoren: Heuel, Janis Friederich, Wolfgang

Quelle: Journal of Seismology; Oct2022, Vol. 26 Issue 5, p913-934, 22p

Gaussian Mixture with Max Expectation Guide for Stacked Architecture of Denoising Autoencoder and DRBM for Medical Chest Scans and Disease Identification

Autoren: Mona Jamjoom Abeer M. Mahmoud Safia Abbas et al.

Quelle: Electronics, Vol 12, Iss 1, p 105 (2022)

Schlagwörter: deep learning, pneumonia prediction, Gaussian mixture, convolution autoencoder, Boltzmann machine, Electronics, TK7800-8360

Relation: https://www.mdpi.com/2079-9292/12/1/105; https://doaj.org/toc/2079-9292; https://doaj.org/article/a38a0b1d3de44d3ca1881344c08f8535

Verfügbarkeit: https://doi.org/10.3390/electronics12010105
https://doaj.org/article/a38a0b1d3de44d3ca1881344c08f8535

Automated computer-aided design of cranial implants: a deep learning approach

Autoren: Morais, Ana Rita André Alves, Victor Egger, Jan et al.

Weitere Verfasser: Morais, Ana Rita André Alves, Victor Egger, Jan et al.

Quelle: urn:tid:202345602

Schlagwörter: Cranial implants, Medical imaging, Computer-aided design (CAD), Deep learning, 3D Shape completion, Denoising autoencoders, Implantes cranianos, Imagem médica, Desenho assistido por computador

Dateibeschreibung: application/pdf

Verfügbarkeit: https://hdl.handle.net/1822/64157

Understanding Chromatin Remodeling Through Physics-Based Machine Learning Approaches

Autoren: Alvarado, Walter

Quelle: http://knowledge.uchicago.edu/record/7573.

Relation: https://knowledge.uchicago.edu/record/7573/files/Alvarado_uchicago_0330D_17106.pdf; http://knowledge.uchicago.edu/record/7573

Verfügbarkeit: https://doi.org/10.6082/uchicago.7573
http://knowledge.uchicago.edu/record/7573

Computational Linguistics and Intelligent Text Processing : 19th International Conference, CICLing 2018, Hanoi, Vietnam, March 18–24, 2018, Revised Selected Papers, Part I

Autoren: Alexander Gelbukh

Resource Type: eBook.

Schlagworte: Computational linguistics--Congresses, Text processing (Computer science)--Congresses, Natural language processing (Computer science)--Congresses

Categories: COMPUTERS / Speech & Audio Processing, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Database Administration & Management, COMPUTERS / Information Theory, LANGUAGE ARTS & DISCIPLINES / Linguistics / General, MATHEMATICS / Probability & Statistics / General

Computational Intelligence in Image and Video Processing

Autoren: Mukesh D Patil Gajanan K Birajdar Sangita S Chaudhari

Resource Type: eBook.

Schlagworte: Image processing--Digital techniques--Data processing, Digital video, Computational intelligence

Categories: COMPUTERS / Data Science / Machine Learning, COMPUTERS / Programming / Games, COMPUTERS / Image Processing, COMPUTERS / Machine Theory, TECHNOLOGY & ENGINEERING / Electrical, TECHNOLOGY & ENGINEERING / Imaging Systems, TECHNOLOGY & ENGINEERING / Signals & Signal Processing