Výsledky vyhľadávania - Sparse autoencoder - stacked contractive autoencoder

A COMPARATIVE STUDY OF DIVERSE AUTOENCODER MODELS IN LOCAL GEAR PITTING FAULT DIAGNOSIS.

Autori: YURTSEVER, Mustafa ÜMÜTLÜ, Rafet Can ÖZTÜRK, Hasan

Zdroj: Konya Journal of Engineering Sciences / Konya Mühendislik Bilimleri Dergisi; Mar2025, Vol. 13 Issue 1, p59-74, 16p

Predmety: GEARBOXES, FAULT diagnosis, POWER transmission, DEEP learning, AUTOENCODERS

An Intelligent Intrusion Detection System Using Hybrid Deep Learning Approaches in Cloud Environment

Autori: Sharon, Andrea Mohanraj, Prarthna Abraham, Tanya, Elizabeth a ďalší

Prispievatelia: Sharon, Andrea Mohanraj, Prarthna Abraham, Tanya, Elizabeth a ďalší

Zdroj: IFIP Advances in Information and Communication Technology ; 6th International Conference on Computer, Communication, and Signal Processing (ICCCSP) ; https://inria.hal.science/hal-04388151 ; 6th International Conference on Computer, Communication, and Signal Processing (ICCCSP), Feb 2022, Chennai, India. pp.281-298, ⟨10.1007/978-3-031-11633-9_20⟩

Predmety: Attack detection, Bi-directional LSTM with dropout and attention layer, Cloud computing, Distributed denial of service, Long short-term memory, One-hot encoding, Sparse autoencoder - stacked contractive autoencoder, [INFO]Computer Science [cs]

Geografické téma: Chennai, India

Dostupnosť: https://inria.hal.science/hal-04388151
https://inria.hal.science/hal-04388151v1/document
https://inria.hal.science/hal-04388151v1/file/527508_1_En_20_Chapter.pdf
https://doi.org/10.1007/978-3-031-11633-9_20

Decoding whole-genome mutational signatures in 37 human pan-cancers by denoising sparse autoencoder neural network.

Autori: Pei G Hu R Dai Y a ďalší

Zdroj: Oncogene [Oncogene] 2020 Jul; Vol. 39 (27), pp. 5031-5041. Date of Electronic Publication: 2020 Jun 11.

Spôsob vydávania: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't

Informácie o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 8711562 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-5594 (Electronic) Linking ISSN: 09509232 NLM ISO Abbreviation: Oncogene Subsets: MEDLINE

Výrazy zo slovníka MeSH: Deep Learning*, Genome, Human/*genetics , Neoplasms/*genetics, DNA/genetics ; Humans ; INDEL Mutation/genetics ; Point Mutation/genetics

K-Means Clustering Optimizing Deep Stacked Sparse Autoencoder.

Autori: Bi, Yandong Wang, Peng Guo, Xuchao a ďalší

Zdroj: Sensing & Imaging; 2/10/2019, Vol. 20 Issue 1, p1-1, 1p

Learning Feature Representations with a Cost-Relevant Sparse Autoencoder.

Autori: Längkvist, Martin Loutfi, Amy

Zdroj: International Journal of Neural Systems; Feb2015, Vol. 25 Issue 1, p-1, 11p

Predmety: MACHINE learning, FEATURE extraction, SIGNAL-to-noise ratio, SIGNAL reconstruction, INFORMATION theory

Graph Regularized Autoencoder and its Application in Unsupervised Anomaly Detection.

Autori: Ahmed, Imtiaz Galoppo, Travis Hu, Xia a ďalší

Zdroj: IEEE Transactions on Pattern Analysis & Machine Intelligence; Aug2022, Vol. 44 Issue 8, p4110-4124, 15p

Predmety: ANOMALY detection (Computer security), GENERATIVE adversarial networks, EUCLIDEAN metric, GEODESIC distance, EUCLIDEAN distance, SPANNING trees, GEODESICS

An Intelligent Fault Diagnosis Method of Multi-Scale Deep Feature Fusion Based on Information Entropy.

Autori: Shang, Zhiwu Li, Wanxiang Gao, Maosheng a ďalší

Zdroj: Chinese Journal of Mechanical Engineering; 6/9/2021, Vol. 34 Issue 1, p1-16, 16p

OIAE: Overall Improved Autoencoder with Powerful Image Reconstruction and Discriminative Feature Extraction.

Autori: Zhao, Haifeng Wu, Haiting Wang, Xin

Zdroj: Cognitive Computation; Jul2023, Vol. 15 Issue 4, p1334-1341, 8p

Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning.

Autori: Singhal, Vanika Majumdar, Angshul

Zdroj: Neural Processing Letters; Jun2018, Vol. 47 Issue 3, p799-814, 16p

Predmety: DEEP learning, HYPERSPECTRAL imaging systems, ARTIFICIAL neural networks, BOLTZMANN machine, ELECTRONIC dictionaries

The Potential Energy of an Autoencoder.

Autori: Kamyshanska, Hanna Memisevic, Roland

Zdroj: IEEE Transactions on Pattern Analysis & Machine Intelligence; Mar2015, Vol. 37 Issue 6, p1261-1273, 13p

Predmety: DYNAMICAL systems, ENERGY function, ENCODING, BOLTZMANN machine, ARTIFICIAL neural networks

Speech Enhancement: A Review of Different Deep Learning Methods.

Autori: Yechuri, Sivaramakrishna Vanabathina, Sunny Dayal

Zdroj: International Journal of Image & Graphics; May2025, Vol. 25 Issue 3, p1-31, 31p

Class‐aware single image to 3D object translational autoencoder.

Autori: Turhan, Ceren Guzel Bilge, Hasan Sakir

Zdroj: IET Image Processing (Wiley-Blackwell); Nov2020, Vol. 14 Issue 13, p3046-3053, 8p

Current status and challenges in electroencephalography (EEG)-based driver fatigue detection: a comprehensive survey.

Autori: Hassan, Jahid Naziullah, Shekh Rashid, Mamunur a ďalší

Zdroj: Cognitive Neurodynamics; 9/1/2025, Vol. 19 Issue 1, p1-38, 38p

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

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

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

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

Blockchain and Deep Learning Empowered Secure Data Sharing Framework for Softwarized UAVs

Autori: Kumar, Abhinav

Témy: Conference paper

URL: https://raiith.krc.iith.ac.in/handle/123456789/55808

Blockchain and Deep Learning Empowered Secure Data Sharing Framework for Softwarized UAVs

Autori: Kumar, P Kumar, Randhir Kumar, Abhinav a ďalší

Témy: Computer science, Electrical Engineering, Conference or Workshop Item, PeerReviewed

URL: http://raiith.iith.ac.in/10042/1/IEEE_Xplore.pdf
http://raiith.iith.ac.in/10042/
http://doi.org/10.1109/ICCWorkshops53468.2022.9814485
http://raiith.iith.ac.in/10042
http://doi.org/10.1109/ICCWorkshops53468.2022.9814485
doi:10.1109/ICCWorkshops53468.2022.9814485

Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning

Autori: Singhal, Vanika Majumdar, Angshul

Témy: Computer Science - Machine Learning, Electrical Engineering and Systems Science - Signal Processing, text

URL: http://arxiv.org/abs/1912.10801

The optimally designed autoencoder network for compressed sensing.

Autori: Zhang, Zufan Wu, Yunfeng Gan, Chenquan a ďalší

Zdroj: EURASIP Journal on Image & Video Processing; 4/29/2019, Vol. 2019 Issue 1, pN.PAG-N.PAG, 1p

Predmety: COMPRESSED sensing, IMAGE denoising, LENGTH measurement, SAMPLING (Process), SIGNAL processing, RANDOM sets, DEEP learning

Convolutional neural networks method for folded Naira currency denominations recognition and analysis.

Autori: Richard-Nnabu, Nneka Ernestina Ituma, Chinagolum Nweke, Henry Friday

Zdroj: Journal of Nigerian Society of Physical Sciences; Nov2024, Vol. 6 Issue 4, p1-11, 11p

Predmety: CONVOLUTIONAL neural networks, BANK notes, FOREIGN exchange, MACHINE learning, MONEY

A Review on Deep Learning Classifier for Hyperspectral Imaging.

Autori: Dahiya, Neelam Singh, Sartajvir Gupta, Sheifali

Zdroj: International Journal of Image & Graphics; Jul2023, Vol. 23 Issue 4, p1-16, 16p