Výsledky vyhľadávania - modified convolutional denoising autoencoder (mcrae)

Prediction of Ocean Weather Based on Denoising AutoEncoder and Convolutional LSTM.

Autori: Kim, Ki-Su Lee, June-Beom Roh, Myung-Il a ďalší

Zdroj: Journal of Marine Science & Engineering; Oct2020, Vol. 8 Issue 10, p805, 1p

Predmety: WEATHER forecasting, TELECOMMUNICATION satellites, DEEP learning, SHIPPING companies, OCEAN

A Review on the Applications of GANs for 3D Medical Image Analysis.

Autori: Usama, Zoha Alavi, Azadeh Chan, Jeffrey

Zdroj: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 20, p11219, 52p

Predmety: GENERATIVE adversarial networks, THREE-dimensional imaging, DIAGNOSIS, MAGNETIC resonance imaging, EARLY diagnosis, RESEARCH evaluation

Can AI be enabled to perform dynamical downscaling? A latent diffusion model to mimic kilometer-scale COSMO5.0_CLM9 simulations.

Autori: Tomasi, Elena Franch, Gabriele Cristoforetti, Marco

Zdroj: Geoscientific Model Development; 2025, Vol. 18 Issue 6, p2051-2078, 28p

Predmety: DOWNSCALING (Climatology), GENERATIVE adversarial networks, DISTRIBUTION (Probability theory), DEEP learning, POWER spectra

Intelligent framework for cannabis classification using visualization of gas chromatography/mass spectrometry data and transfer learning.

Autori: Ting-Yu Huang Jorn Chi Chung Yu

Zdroj: Frontiers in Analytical Science; 4/17/2023, p1-11, 11p

Predmety: CONVOLUTIONAL neural networks, GAS chromatography, MASS spectrometry, DATA visualization, IONS spectra, FOOD aroma

2023 World Molecular Imaging Congress Program.

Zdroj: Molecular Imaging & Biology; Jan2025, Vol. 27 Issue 1, p1-759, 759p

Predmety: MEDICAL sciences, MAGNETIC particle imaging, MOLECULAR biology, BIOTECHNOLOGY, NONINVASIVE diagnostic tests, DEEP learning, COINCIDENCE, GLYCOLYSIS

An Effective and Lightweight Deep Electrocardiography Arrhythmia Recognition Model Using Novel Special and Native Structural Regularization Techniques on Cardiac Signal.

Autori: Ullah, Hadaate Bin Heyat, Md Belal AlSalman, Hussain a ďalší

Zdroj: Journal of Healthcare Engineering; 4/12/2022, p1-18, 18p

Predmety: ARRHYTHMIA, CONVOLUTIONAL neural networks, ELECTROCARDIOGRAPHY, HEART beat, DEEP learning, MEDICAL societies, PHYSICIANS

Korporácia: ASSOCIATION for the Advancement of Medical Instrumentation

Should AI-Powered Whole-Genome Sequencing Be Used Routinely for Personalized Decision Support in Surgical Oncology—A Scoping Review.

Autori: Alagarswamy, Kokiladevi Shi, Wenjie Boini, Aishwarya a ďalší

Zdroj: BioMedInformatics; Sep2024, Vol. 4 Issue 3, p1757-1772, 16p

Predmety: WHOLE genome sequencing, NUCLEOTIDE sequencing, ARTIFICIAL intelligence, DNA sequencing, MULTIOMICS, PHARMACOGENOMICS

Air quality visualization analysis based on multivariate time series data feature extraction.

Autori: Luo, Xinchi Jiang, Runfeng Yang, Bin a ďalší

Zdroj: Journal of Visualization; Aug2024, Vol. 27 Issue 4, p567-584, 18p

Generative deep learning for data generation in natural hazard analysis: motivations, advances, challenges, and opportunities.

Autori: Ma, Zhengjing Mei, Gang Xu, Nengxiong

Zdroj: Artificial Intelligence Review; Jun2024, Vol. 57 Issue 6, p1-91, 91p

نقش هوش مصنوعی در ژنومیکس. (Persian)

Alternate Title: The role of artificial intelligence in genomics. (English)

Autori: محمدرضا محمدآبادی حمید خیرالدین ولودیمیر آفاناسنکو a ďalší

Zdroj: Agricultural Biotechnology Journal; 2024, Vol. 16 Issue 2, p195-279, 85p

Predmety: ARTIFICIAL neural networks, BIOLOGICAL systems, BIOMOLECULES, FUNCTIONAL genomics, ARTIFICIAL intelligence, METABOLOMICS

ECR 2023 Book of Abstracts.

Zdroj: Insights into Imaging; 12/21/2023, Vol. 14 Issue 1, p1-275, 275p

Splicing defects in rare diseases: transcriptomics and machine learning strategies towards genetic diagnosis.

Autori: Wang, Robert Helbig, Ingo Edmondson, Andrew C a ďalší

Zdroj: Briefings in Bioinformatics; Sep2023, Vol. 24 Issue 5, p1-15, 15p

Predmety: GENETIC disorder diagnosis, RARE diseases, MACHINE learning, LEARNING strategies, RNA splicing, MEDICAL registries

Improving protein fold recognition using triplet network and ensemble deep learning.

Autori: Liu, Yan Han, Ke Zhu, Yi-Heng a ďalší

Zdroj: Briefings in Bioinformatics; Nov2021, Vol. 22 Issue 6, p1-16, 16p

Predmety: DEEP learning, PROTEIN folding, PROTEIN structure prediction, INTERNET servers

Spatial analysis of environmental factors influencing dust sources in the east of Iran using a new activelearning approach.

Autori: Yariyan, Peyman Amiri, Mahdis Saffariha, Maryam a ďalší

Zdroj: Geocarto International; 2022, Vol. 37 Issue 26, p11929-11954, 26p

Predmety: FACTOR analysis, DUST storms, WIND speed, DUST

Geografický termín: IRAN

Live-cell fluorescence spectral imaging as a data science challenge.

Autori: Acuña-Rodriguez, Jessy Pamela Mena-Vega, Jean Paul Argüello-Miranda, Orlando

Zdroj: Biophysical Reviews; Apr2022, Vol. 14 Issue 2, p579-597, 19p

Visually Grounded Meaning Representations.

Autori: Silberer, Carina Ferrari, Vittorio Lapata, Mirella

Zdroj: IEEE Transactions on Pattern Analysis & Machine Intelligence; Nov2017, Vol. 39 Issue 11, p2284-2297, 14p

Predmety: LEXICAL grammar, SEMANTICS, PRAGMATICS, FEATURE extraction, COMPUTER vision

Deep integrative models for large-scale human genomics.

Autori: Sigurdsson, Arnór I Louloudis, Ioannis Banasik, Karina a ďalší

Zdroj: Nucleic Acids Research; 7/7/2023, Vol. 51 Issue 12, pe67-e67, 1p

Representation Learning for Fine-Grained Change Detection.

Autori: Mahony, Niall O' Campbell, Sean Krpalkova, Lenka a ďalší

Zdroj: Sensors (14248220); Jul2021, Vol. 21 Issue 13, p4486-4486, 1p

Predmety: DEEP learning, ARTIFICIAL intelligence, METRIC spaces, BIG data, CHANGE-point problems

Bridge Maintenance, Safety, Management, Digitalization and Sustainability

Autori: Jens Sandager Jensen Dan M. Frangopol Jacob Wittrup Schmidt

Typ zdroja: eBook.

Predmet: Bridges--Safety measures--Congresses, Bridges--Maintenance and repair--Congresses, Bridges--Maintenance and repair--Management--Congresses, Bridges--Design and construction--Safety measures--Congresses

Kategórie: TECHNOLOGY & ENGINEERING / Civil / Bridges, TECHNOLOGY & ENGINEERING / Civil / General, TECHNOLOGY & ENGINEERING / Structural

Climate Disaster Preparedness

Autori: Dennis Del Favero Susanne Thurow Michael J. Ostwald a ďalší

Typ zdroja: eBook.

Predmet: Climatic changes--Simulation methods, Emergency management--Simulation methods, Environmental management, Climatic extremes--Simulation methods

Kategórie: BUSINESS & ECONOMICS / Management, COMPUTERS / Human-Computer Interaction (HCI), DESIGN / General, SCIENCE / Environmental Science, SOCIAL SCIENCE / Sociology / General, TECHNOLOGY & ENGINEERING / Environmental / General