Výsledky vyhledávání - Reduced deep conventional stack autoencoder*

Precise single step and multistep short-term photovoltaic parameters forecasting based on reduced deep convolutional stack autoencoder and minimum variance multikernel random vector functional network.

Autoři: Sahani, Mrutyunjaya Choudhury, Sasmita Siddique, Marif Daula a další

Zdroj: Engineering Applications of Artificial Intelligence. Oct2024:Part A, Vol. 136, pN.PAG-N.PAG. 1p.

Témata: *FIELD programmable gate arrays, *SOLAR temperature, *SOLAR power plants, *STATISTICAL correlation, *ENERGY shortages

Epileptic Seizure Recognition Using Reduced Deep Convolutional Stack Autoencoder and Improved Kernel RVFLN From EEG Signals.

Autoři: Sahani, Mrutyunjaya Rout, Susanta Kumar Dash, Pradipta Kishor

Zdroj: IEEE Transactions on Biomedical Circuits & Systems; Jun2021, Vol. 16 Issue 3, p595-605, 11p

NRDPU-Net: A Normalized Residual Depth U-Net with Ridge Vessel Preprocessing for Accurate Melanoma Classification

Autoři: Shyamala Devi, M Natarajan, Yuvaraj K. R., Sri Preethaa

FPGA-Based Semisupervised Multifusion RDCNN of Process Robust VMD Data With Online Kernel RVFLN for Power Quality Events Recognition.

Autoři: Sahani, Mrutyunjaya Dash, Pradipta Kishore

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Feb2022, Vol. 33 Issue 2, p515-527, 13p

Témata: CONVOLUTIONAL neural networks, PARTICLE swarm optimization, FIELD programmable gate arrays, FEATURE extraction, MATHEMATICAL optimization

Automatic fault diagnosis of rolling bearings under multiple working conditions based on unsupervised stack denoising autoencoder.

Autoři: Wang, Lei Rao, Hang Dong, Zhengcheng a další

Zdroj: Structural Health Monitoring; Sep2024, Vol. 23 Issue 5, p3084-3104, 21p

Témata: AUTOENCODERS, DEEP learning, ROLLER bearings, DIAGNOSIS, ALGORITHMS, FEATURE extraction

Autoencoder-based confidence score for item preknowledge detection.

Autoři: Pan, Yiqin

Zdroj: Behaviormetrika; Jul2025, Vol. 52 Issue 2, p317-342, 26p

Témata: AUTOENCODERS, DEEP learning, PRIOR learning, SIMULATION methods & models, DETECTION algorithms, SIGNAL detection, TEST design

Conventional to Deep Learning Methods for Hyperspectral Unmixing: A Review.

Autoři: Zou, Jinlin Qu, Hongwei Zhang, Peng

Zdroj: Remote Sensing; Sep2025, Vol. 17 Issue 17, p2968, 44p

Témata: DEEP learning, REMOTE sensing, ALGORITHMS, METADATA, IMAGE processing, IMAGE reconstruction algorithms

From Innovation to Application: Can Emerging Imaging Techniques Transform Breast Cancer Diagnosis?

Autoři: Hsu, Honda Lee, Kun-Hua Karmakar, Riya a další

Zdroj: Diagnostics (2075-4418); Nov2025, Vol. 17 Issue 21, p2718, 48p

Témata: BREAST cancer, DIAGNOSTIC imaging, MACHINE learning, DEEP learning, CLINICAL trials

Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space.

Autoři: Najafi Koopas, Rasoul Rezaei, Shahed Rauter, Natalie a další

Zdroj: Computational Mechanics; Apr2025, Vol. 75 Issue 4, p1377-1406, 30p

Témata: ARTIFICIAL neural networks, AUTOENCODERS, BOUNDARY value problems, ARTIFICIAL intelligence, THERMAL conductivity

An Integrated Hybrid Deep Learning Framework for Intrusion Detection in IoT and IIoT Networks Using CNN-LSTM-GRU Architecture.

Autoři: Afraji, Doaa Mohsin Abd Ali Lloret, Jaime Peñalver, Lourdes

Zdroj: Computation; Sep2025, Vol. 13 Issue 9, p222, 28p

Témata: INTRUSION detection systems (Computer security), DEEP learning, ELECTRONIC data processing, INTERNET security, INTERNET of things

Biologically explainable multi-omics feature demonstrates greater learning potential by identifying tissue of origin, stages, and subtypes for pan-cancer classification.

Autoři: Munquad, Sana Dash, Bikash Kumar Sengupta, Sayan a další

Zdroj: Scientific Reports; 11/18/2025, Vol. 15 Issue 1, p1-13, 13p

Témata: TUMOR classification, DEEP learning, FEATURE selection, INDIVIDUALIZED medicine, MULTIOMICS, ARTIFICIAL intelligence

A Hybrid Ensemble Learning Framework for Predicting Lumbar Disc Herniation Recurrence: Integrating Supervised Models, Anomaly Detection, and Threshold Optimization.

Autoři: Duceac, Mădălina Buzea, Călin Gheorghe Pleșea-Condratovici, Alina a další

Zdroj: Diagnostics (2075-4418); Jul2025, Vol. 15 Issue 13, p1628, 40p

Témata: ARTIFICIAL neural networks, ENSEMBLE learning, CLINICAL decision support systems, AUTOENCODERS, BLENDED learning

Hybrid Synthetic Minority Over-sampling Technique (HSMOTE) and Ensemble Deep Dynamic Classifier Model (EDDCM) for big data analytics.

Autoři: M, Priyadharsini Tyagi, Bhawana R, Naga Priyadarsini a další

Zdroj: Scientific Reports; 11/11/2025, Vol. 15 Issue 1, p1-32, 32p

Témata: DEEP learning, CLASSIFICATION, METAHEURISTIC algorithms, COMPUTER performance, DATA augmentation, ENSEMBLE learning, FEATURE selection

Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review.

Autoři: Zhen Zhao Joon Huang Chuah Khin Wee Lai a další

Zdroj: Frontiers in Computational Neuroscience; 2/6/2023, Vol. 17, p1-16, 16p

Témata: DEEP learning, ALZHEIMER'S disease, MACHINE learning, DIAGNOSIS, MAGNETIC resonance imaging, CONVOLUTIONAL neural networks

Hybrid Deep Learning for Fault Diagnosis in Photovoltaic Systems.

Autoři: Bougoffa, Mouaad Benmoussa, Samir Djeziri, Mohand a další

Zdroj: Machines; May2025, Vol. 13 Issue 5, p378, 18p

Témata: CLEAN energy, SUSTAINABILITY, PHOTOVOLTAIC power systems, ENERGY infrastructure, AUTOENCODERS, DEEP learning

Developments in Deep Learning Artificial Neural Network Techniques for Medical Image Analysis and Interpretation.

Autoři: Shobayo, Olamilekan Saatchi, Reza

Zdroj: Diagnostics (2075-4418); May2025, Vol. 15 Issue 9, p1072, 31p

Témata: ARTIFICIAL neural networks, PATTERN recognition systems, ARTIFICIAL intelligence, TRANSFORMER models, GENERATIVE adversarial networks

Comparative analysis of deep learning architectures in solar power prediction.

Autoři: Abdelsattar, Montaser Azim, Mohamed A. AbdelMoety, Ahmed a další

Zdroj: Scientific Reports; 8/28/2025, Vol. 15 Issue 1, p1-20, 20p

Témata: DEEP learning, FORECASTING, CONVOLUTIONAL neural networks, AUTOENCODERS, TRANSFORMER models, ELECTRIC power distribution grids, SMART power grids, ENERGY consumption forecasting

Modeling Coagulant Dosage in Water Treatment Plant Using Explainable Deep Learning Model–Based SHapley Additive exPlanations (SHAP).

Autoři: Fouchal, Amel Merabet, Khaled Kisi, Ozgur a další

Zdroj: Water Conservation Science & Engineering; 10/3/2025, Vol. 10 Issue 3, p1-31, 31p

Improving OCTA Image Quality for Alzheimer's Diagnosis Using Autoencoder, Self-Attention and GANs.

Autoři: C. K., Madhu C. V., Aravinda S. V., Aruna Kumar a další

Zdroj: International Journal of Intelligent Engineering & Systems; 2025, Vol. 18 Issue 7, p1-17, 17p

Témata: GENERATIVE adversarial networks, ALZHEIMER'S disease, SPECKLE interference, OPTICAL coherence tomography, AUTOENCODERS, DEEP learning

Deep Learning-Based Early Detection of Lung Diseases Using Light Attention Visual Geometry Networks.

Autoři: Christiyana, C. Callins Senthilselvi, A. Elangovan, D. a další

Zdroj: Cognitive Computation; Dec2025, Vol. 17 Issue 6, p1-32, 32p