Suchergebnisse - Modified convolutional denoising autoencoder (MCRAE)

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

Autoren: Kim, Ki-Su Lee, June-Beom Roh, Myung-Il et al.

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

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

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

Autoren: Usama, Zoha Alavi, Azadeh Chan, Jeffrey

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

Schlagwörter: 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.

Autoren: Tomasi, Elena Franch, Gabriele Cristoforetti, Marco

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

Schlagwörter: 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.

Autoren: Ting-Yu Huang Jorn Chi Chung Yu

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

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

2023 World Molecular Imaging Congress Program.

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

Schlagwörter: 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.

Autoren: Ullah, Hadaate Bin Heyat, Md Belal AlSalman, Hussain et al.

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

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

Firma/Körperschaft: 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.

Autoren: Alagarswamy, Kokiladevi Shi, Wenjie Boini, Aishwarya et al.

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

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

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

Autoren: Luo, Xinchi Jiang, Runfeng Yang, Bin et al.

Quelle: 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.

Autoren: Ma, Zhengjing Mei, Gang Xu, Nengxiong

Quelle: 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)

Autoren: محمدرضا محمدآبادی حمید خیرالدین ولودیمیر آفاناسنکو et al.

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

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

ECR 2023 Book of Abstracts.

Quelle: 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.

Autoren: Wang, Robert Helbig, Ingo Edmondson, Andrew C et al.

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

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

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

Autoren: Liu, Yan Han, Ke Zhu, Yi-Heng et al.

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

Schlagwörter: 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.

Autoren: Yariyan, Peyman Amiri, Mahdis Saffariha, Maryam et al.

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

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

Geografische Kategorien: IRAN

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

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

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

Visually Grounded Meaning Representations.

Autoren: Silberer, Carina Ferrari, Vittorio Lapata, Mirella

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

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

Deep integrative models for large-scale human genomics.

Autoren: Sigurdsson, Arnór I Louloudis, Ioannis Banasik, Karina et al.

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

Representation Learning for Fine-Grained Change Detection.

Autoren: Mahony, Niall O' Campbell, Sean Krpalkova, Lenka et al.

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

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

Bridge Maintenance, Safety, Management, Digitalization and Sustainability

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

Resource Type: eBook.

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

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

Climate Disaster Preparedness

Autoren: Dennis Del Favero Susanne Thurow Michael J. Ostwald et al.

Resource Type: eBook.

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

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