Výsledky vyhledávání - "deep convolution autoencoder"

Image Colorization Using Deep Convolution Autoencoder

Autoři: Vaibhav Singh Deepak Arora Puneet Sharma

Zdroj: Lecture Notes in Networks and Systems ISBN: 9789811671173

Non-intrusive, transferable model for coupled turbulent channel-porous media flow based upon neural networks.

Autoři: Chu, Xu Pandey, Sandeep

Zdroj: Physics of Fluids; Feb2024, Vol. 36 Issue 2, p1-13, 13p

Témata: MACHINE learning, RECURRENT neural networks, TURBULENT flow, TURBULENCE, POROUS materials

A Deep Learning Approach for Automatic Seizure Detection in Children With Epilepsy.

Autoři: Abdelhameed, Ahmed Bayoumi, Magdy

Zdroj: Frontiers in Computational Neuroscience; 4/8/2021, Vol. 15, pN.PAG-N.PAG, 15p

Témata: CHILDHOOD epilepsy, DEEP learning, SUPERVISED learning, EPILEPSY, ELECTROENCEPHALOGRAPHY, BIOMEDICAL signal processing, CHILDREN'S hospitals, SHORT-term memory, DIAGNOSIS of epilepsy

Geografický termín: BOSTON (Mass.)

Korporace: MASSACHUSETTS Institute of Technology

Autoencoder-based detector for distinguishing process anomaly and sensor failure.

Autoři: Lee, Chia-Yen Chang, Kai Ho, Chien

Zdroj: International Journal of Production Research; Oct2024, Vol. 62 Issue 19, p7130-7145, 16p

Témata: DEEP learning, FALSE alarms, MANUFACTURING processes, HETEROSCEDASTICITY, DETECTORS

Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning.

Autoři: Xue, Wufeng Islam, Ali Bhaduri, Mousumi a další

Zdroj: IEEE Transactions on Medical Imaging. Oct2017, Vol. 36 Issue 10, p2057-2067. 11p.

Témata: *HEMODYNAMICS, *MACHINE learning, *HEART disease diagnosis, *HEART function tests, *MAGNETIC resonance imaging, *IMAGE representation

Epileptic seizure detection from electroencephalogram signals based on 1D CNN-LSTM deep learning model using discrete wavelet transform.

Autoři: Kashefi Amiri, Homa Zarei, Masoud Daliri, Mohammad Reza

Zdroj: Scientific Reports; 9/25/2025, Vol. 15 Issue 1, p1-18, 18p

Témata: EPILEPSY, LONG short-term memory, MACHINE learning, DEEP learning, SPATIOTEMPORAL processes, BRAIN waves, DISCRETE wavelet transforms

A Novel Deep Neural Network-Based Framework for Subsurface Analysis in Non-Stationary Thermal Wave Imaging.

Autoři: Swapna, M. N. Suman, M. Prasanthi, Y. N. a další

Zdroj: Sensing & Imaging; 9/5/2025, Vol. 26 Issue 1, p1-18, 18p

Autoencoder with Constraints for Subsurface Defect Detection in Quadratic Frequency Modulated Thermal Wave Imaging.

Autoři: Bandari, Enosh Oleti, Siva Subrahmanyam Prasanthi, Y. Naga a další

Zdroj: Sensing & Imaging; 8/18/2025, Vol. 26 Issue 1, p1-17, 17p

Advances in cardiovascular signal analysis with future directions: a review of machine learning and deep learning models for cardiovascular disease classification based on ECG, PCG, and PPG signals.

Autoři: Fuadah, Yunendah Nur Lim, Ki Moo

Zdroj: Biomedical Engineering Letters; Jul2025, Vol. 15 Issue 4, p619-660, 42p

Enhanced Prediction of the Remaining Useful Life of Rolling Bearings Under Cross-Working Conditions via an Initial Degradation Detection-Enabled Joint Transfer Metric Network.

Autoři: Qi, Lingfeng Pan, Jiafang Huang, Tianping a další

Zdroj: Applied Sciences (2076-3417); Jun2025, Vol. 15 Issue 12, p6401, 26p

Témata: REMAINING useful life, ROLLER bearings, AUTOENCODERS, ROTATING machinery, DATA distribution

Brain-region specific epileptic seizure detection through EEG dynamics: integrating spectral features, SMOTE and long short-term memory networks.

Autoři: Dokare, Indu Gupta, Sudha

Zdroj: Cognitive Neurodynamics; 5/3/2025, Vol. 19 Issue 1, p1-25, 25p

Optimizing Input Feature Sets Using Catch-22 and Personalization for an Accurate and Reliable Estimation of Continuous, Cuffless Blood Pressure.

Autoři: Kasbekar, Rajesh S. Radhakrishnan, Srinivasan Ji, Songbai a další

Zdroj: Bioengineering (Basel); May2025, Vol. 12 Issue 5, p493, 19p

Témata: DEEP learning, MACHINE learning, BLOOD pressure, STANDARD deviations, CARDIOVASCULAR diseases

MultiJSQ: Direct joint segmentation and quantification of left ventricle with deep multitask‐derived regression network.

Autoři: Du, Xiuquan Pei, Zheng Liu, Ying a další

Zdroj: CAAI Transactions on Intelligence Technology; Feb2025, Vol. 10 Issue 1, p175-192, 18p

Témata: MAGNETIC resonance imaging, CARDIAC imaging, CLINICAL medicine, CARDIOVASCULAR diseases, QUANTITATIVE research

LMPSeizNet: A Lightweight Multiscale Pyramid Convolutional Neural Network for Epileptic Seizure Detection on EEG Brain Signals.

Autoři: Alsaadan, Arwa Alzamel, Mai Hussain, Muhammad

Zdroj: Mathematics (2227-7390); Dec2024, Vol. 12 Issue 23, p3648, 20p

Témata: ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, EPILEPSY, PEOPLE with epilepsy, MACHINE learning, DEEP learning, ELECTROENCEPHALOGRAPHY

Neonatal Seizure detection using GLCM feature extraction & AlexNet classification.

Autoři: Jebin, Ben M. Rejula, M. Anline Eberlein, G.

Zdroj: Multimedia Tools & Applications; Oct2024, Vol. 83 Issue 35, p83139-83155, 17p

Témata: CONVOLUTIONAL neural networks, RECURRENT neural networks, FEATURE extraction, FOURIER series, FOURIER transforms

Anonymization based deep privacy preserving convolutional autoencoder learning technique for high dimensional data clustering in big data cloud.

Autoři: Kiruthika, B. Srinivasan, B. Poornima, N. V. a další

Zdroj: AIP Conference Proceedings; 2023, Vol. 2909 Issue 1, p1-11, 11p

Témata: DEEP learning, BIG data, PRIVACY, FEATURE extraction, MACHINE learning, DATA distribution

Detection and classification of adult epilepsy using hybrid deep learning approach.

Autoři: Srinivasan, Saravanan Dayalane, Sundaranarayana Mathivanan, Sandeep kumar a další

Zdroj: Scientific Reports; 11/18/2023, Vol. 13 Issue 1, p1-17, 17p

Témata: DEEP learning, SUPERVISED learning, EPILEPSY, CHILDREN'S hospitals, DIAGNOSIS of epilepsy, HUMAN abnormalities, PEOPLE with epilepsy

Machine learning and deep learning for blood pressure prediction: a methodological review from multiple perspectives.

Autoři: Qin, Keke Huang, Wu Zhang, Tao a další

Zdroj: Artificial Intelligence Review; Aug2023, Vol. 56 Issue 8, p8095-8196, 102p

Témata: DEEP learning, MACHINE learning, BLOOD pressure, FORECASTING, SCIENTIFIC community, CRITICAL analysis

Convergence of Artificial Intelligence and Neuroscience towards the Diagnosis of Neurological Disorders—A Scoping Review.

Autoři: Surianarayanan, Chellammal Lawrence, John Jeyasekaran Chelliah, Pethuru Raj a další

Zdroj: Sensors (14248220); Mar2023, Vol. 23 Issue 6, p3062, 29p

Témata: ARTIFICIAL intelligence, NEUROSCIENCES, MACHINE learning, NEUROLOGICAL disorders, OBJECT recognition (Computer vision), REINFORCEMENT learning, LEARNING in animals, TECHNOLOGY convergence

DDR-ID: dual deep reconstruction networks based image decomposition for anomaly detection.

Autoři: Lin, Dongyun Li, Yiqun Xie, Shudong a další

Zdroj: Journal of Ambient Intelligence & Humanized Computing; Mar2023, Vol. 14 Issue 3, p2125-2139, 15p