Výsledky vyhledávání - Hybrid classification autoencoder

Clustering and enhanced classification using a hybrid quantum autoencoder

Autoři: Srikumar, M Hill, CD Hollenberg, LCL

Témata: Journal Article

URL: http://hdl.handle.net/11343/310097

Quantum autoencoders for image classification

Autoři: Asaoka, Hinako Kudo, Kazue

Témata: Quantum Physics, Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2502.15254

A Scalable Hybrid Autoencoder–Extreme Learning Machine Framework for Adaptive Intrusion Detection in High-Dimensional Networks.

Autoři: Kumar, Anubhav Radhakrishnan, Rajamani Sumithra, Mani a další

Zdroj: Future Internet. May2025, Vol. 17 Issue 5, p221. 18p.

Témata: *Machine learning, Extreme learning machines, Autoencoder, Blended learning, Infrastructure (Economics)

A hybrid classification autoencoder for semi-supervised fault diagnosis in rotating machinery

Autoři: Yan Zhang Xinya Wu Zhike Peng a další

Zdroj: Mechanical Systems and Signal Processing. 149:107327

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0201 civil engineering

Přístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S0888327020307135
http://ui.adsabs.harvard.edu/abs/2021MSSP..14907327W/abstract

AI-Driven Anomaly Detection in IoT Time Series: A Hybrid Approach to Classification and Feature Extraction

Autoři: Aruna T M

Zdroj: SSRN Electronic Journal.

Témata: Anomaly Detection, IoT, Time Series Data, Feature Extraction, Hybrid Classification, Deep Learning, LSTM, CNN, Autoencoders, Smart Systems

Arabic writer identification for children using optimized adversarial-attention and dynamic hybrid classification

Autoři: Worood Najem-Aldenn, Abdullah Muhanad Tahrir, Younis

Zdroj: Revista Científica de Sistemas e Informática; Vol. 4 No. 2 (2024): Revista Científica de Sistemas e Informática; e642
Revista Científica de Sistemas e Informática; Vol. 4 Núm. 2 (2024): Revista Científica de Sistemas e Informática; e642

Témata: machine learning, autoencoders variacionales, aprendizaje automático, BPOA, DenseNet, variational autoencoders, ResNet

Popis souboru: application/pdf

Přístupová URL adresa: https://revistas.unsm.edu.pe/index.php/rcsi/article/view/642

A HYBRID CLASSIFICATION AND GAME-THEORETIC STRATEGY FOR OPTIMIZING PATIENT RECRUITMENT IN CLINICAL TRIALS

Autoři: null K. Venkata Prasad Reddy null Shaik Haseena

Zdroj: International Journal of Engineering Research and Science & Technology. 21:1125-1138

Combining Autoregressive and Autoencoder Language Models for Text Classification

Autoři: Gonçalves, João

Témata: Computer Science - Computation and Language, text

URL: http://arxiv.org/abs/2411.13282

A deep hybrid CSAE-GRU framework with two-stage balancing for automatic epileptic seizure detection using EEG-derived features

Autoři: Fei Xiang Mingyue Liu Wenna Chen a další

Zdroj: Frontiers in Neuroscience, Vol 19 (2025)

Témata: seizure detection, convolutional neural network, gated recurrent unit, sparse autoencoder, borderline synthetic minority oversampling technique, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

Popis souboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fnins.2025.1698960/full; https://doaj.org/toc/1662-453X

Přístupová URL adresa: https://doaj.org/article/2a3723ccee1d49029288ff3b2996bd8f

Quantum Transfer Learning for MNIST Classification Using a Hybrid Quantum-Classical Approach

Autoři: Sarkar, Soumyadip

Témata: Quantum Physics, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2408.03351

Enhanced hybrid classification model algorithm for medical dataset analysis

Autoři: N. Kumar null T. Christopher

Zdroj: International Journal of Computational and Experimental Science and Engineering. 11

OPTIMIZING PATIENT RECRUITMENT FOR CLINICAL TRIALS: A HYBRID CLASSIFICATION MODEL AND GAME-THEORETIC APPROACH FOR STRATEGIC INTERACTION

Autoři: null DR. RANJITH null E. MANVITHA null CH. LIPI VITHAL a další

Zdroj: Industrial Engineering Journal. 53:187-191

Optimizing Patient Recruitment for Clinical Trials: A Hybrid Classification Model and Game-Theoretic Approach for Strategic Interaction

Autoři: C. U. Om Kumar Isshaan Singh M. Suguna

Zdroj: IEEE Access, Vol 12, Pp 10254-10280 (2024)

Témata: game theory, 03 medical and health sciences, Clinical trials, 0302 clinical medicine, feature extraction, 0202 electrical engineering, electronic engineering, information engineering, ensemble learning, healthcare analytics, decision-making, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971

Přístupová URL adresa: https://doaj.org/article/a1a0601209334e0b827a85b8b7f01b8f

Detecting Incidents in HFC Broadband Networks Via LSTM Classification and Autoencoder Models

Autoři: Eckert, Heinz

Témata: Long Short-Term Memory, Hybrid Fiber-Coaxial, Proactive Network Maintenance, Deep Learning, Autoencoder, MIT, Diplomarbeit (MA) JG18

Classification of lemon quality using hybrid model based on Stacked AutoEncoder and convolutional neural network.

Autoři: Yılmaz, Esra Kavalcı Adem, Kemal Kılıçarslan, Serhat a další

Zdroj: European Food Research & Technology; Jun2023, Vol. 249 Issue 6, p1655-1667, 13p

Témata: CONVOLUTIONAL neural networks, DEEP learning, MACHINE learning, AGRICULTURAL processing, COLOR space, LEMON

A hybrid 1DCNN-GRU deep learning framework for classifying caprine granulosa cell fertility potential using single-cell transcriptomics.

Autoři: Sananmuang, Thanida Puthier, Denis Chokeshaiusaha, Kaj

Zdroj: Veterinary World. Jul2025, Vol. 18 Issue 7, p1922-1935. 14p.

Témata: Granulosa cells, Fertility, Convolutional neural networks, Transcriptomes, Deep learning, Recurrent neural networks, Goats, Biomarkers

A deep hybrid CSAE-GRU framework with two-stage balancing for automatic epileptic seizure detection using EEG-derived features.

Autoři: Xiang, Fei Liu, Mingyue Chen, Wenna a další

Zdroj: Frontiers in Neuroscience; 2025, p1-19, 19p

Témata: EPILEPSY, ELECTROENCEPHALOGRAPHY, KNOWLEDGE transfer, FEATURE extraction, NEUROPHYSIOLOGIC monitoring

Deep autoencoder based hybrid dimensionality reduction approach for classification of SERS for melanoma cancer diagnostics.

Autoři: Yousuff, Mohamed Babu, Rajasekhara

Zdroj: Journal of Intelligent & Fuzzy Systems. 2022, Vol. 43 Issue 6, p7647-7661. 15p.

Témata: FISHER discriminant analysis, SERS spectroscopy, MACHINE learning, MELANOMA, SKIN cancer

A Transformer-Based Autoencoder with Isolation Forest and XGBoost for Malfunction and Intrusion Detection in Wireless Sensor Networks for Forest Fire Prediction.

Autoři: Haque, Ahshanul Soliman, Hamdy

Zdroj: Future Internet. Apr2025, Vol. 17 Issue 4, p164. 12p.

Témata: *Transformer models, Wireless sensor networks, Sensor networks, Forest fires, Autoencoder, Intrusion detection systems (Computer security), False alarms

Towards Robust Stacked Capsule Autoencoder with Hybrid Adversarial Training

Autoři: Dai, Jiazhu Xiong, Siwei

Témata: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2202.13755