Search Results - "Autoencoder neural network"

Anomaly Detection for HVAC System Maintenance Using Autoencoder Neural Network

Authors: D. Borić T. Hadjina L. Luttenberger Marić

Source: 2024 47th MIPRO ICT and Electronics Convention (MIPRO). :1855-1858

Subject Terms: autoencoder neural network, HVAC, anomaly detection, maintenance

Access URL: https://ieeexplore.ieee.org/document/10569903/
https://doi.org/10.1109/mipro60963.2024.10569903

A qualitative analysis of knowledge graphs in recommendation scenarios through semantics-aware autoencoders

Authors: Bellini, Vito Di Sciascio, Eugenio Donini, Francesco Maria et al.

Contributors: Bellini, Vito Di Sciascio, Eugenio Donini, Francesco Maria et al.

Source: Journal of Intelligent Information Systems. 62:787-807

Subject Terms: Knowledge graph, 0202 electrical engineering, electronic engineering, information engineering, Autoencoder neural network, Deep learning, 02 engineering and technology, Recommender system

'Optimizing sEMG Gesture Recognition with Stacked Autoencoder Neural Network for Bionic Hand'

Authors: Mr. Amol Pandurang Yadav Dr. Sandip.R. Patil

Source: MethodsX, Vol 14, Iss , Pp 103207- (2025)

Subject Terms: Stacked autoencoder neural network (SAE), Science

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S221501612500055X; https://doaj.org/toc/2215-0161

Access URL: https://doaj.org/article/1aa5844d9d61416192f0e3ae736c041f

Correlation reconstruction mechanism based on dual wavelength imaging and neural network

Authors: Hualong Ye Daidou Guo

Source: Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)

Subject Terms: Dual-wavelength imaging, Autoencoder neural network, Compressed sensing, Ghost imaging, Fusion reconstruction, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/c95eed2fb5e944158c90dad709dd1794

Segmentation of MR images for brain tumor detection using autoencoder neural network

Authors: Farnaz Hoseini Shohreh Shamlou Milad Ahmadi-Gharehtoragh

Source: Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-20 (2024)

Subject Terms: Autoencoder neural network, MR images, Segmentation, MRI, Brain tumor detection, Autoencoder, Computational linguistics. Natural language processing, P98-98.5, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/2731-0809

Access URL: https://doaj.org/article/e34b7cf1b51e4f0e9b29bd610cc26b96

Deep learning assisted XRF spectra classification

Authors: Velibor Andric Goran Kvascev Milos Cvetanovic et al.

Source: Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)

Subject Terms: Deep learning, Autoencoder neural network, XRF spectra, Dimension reduction, AI classification, Pigments, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/b66243b72a6c40bbbe9ae9e494879ae2

Redefining the North Atlantic Oscillation index generation using autoencoder neural network

Authors: Chibuike Chiedozie Ibebuchi

Source: Machine Learning: Science and Technology, Vol 5, Iss 1, p 01LT01 (2024)

Subject Terms: North Atlantic Oscillation, empirical orthogonal function, autoencoder neural network, correlation, climate modes of variability, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/2632-2153

Access URL: https://doaj.org/article/df80d4ee19054672b864410b612b0596

Analysis of Text Mining Clustering on Suara Surabaya Crime Report with DBSCAN Neural Network Autoencoder Algorithm

Authors: Koesnadi, Grace Lucyana Anggriawan, Muhammad Rizal Zuleika, Talitha et al.

Source: Inferensi; Vol 7, No 3 (2024); 155-165 ; 2721-3862 ; 0216-308X

Subject Terms: Text Mining Clustering, DBSCAN, Autoencoder Neural Network, Criminality

File Description: application/pdf

Relation: https://iptek.its.ac.id/index.php/inferensi/article/view/20765/8744; https://iptek.its.ac.id/index.php/inferensi/article/view/20765

Availability: https://iptek.its.ac.id/index.php/inferensi/article/view/20765
https://doi.org/10.12962/j27213862.v7i3.20765

Video Latent Code Interpolation for Anomalous Behavior Detection

Authors: Durand de Gevigney, Valentin Marteau, Pierre-François Delhay, Arnaud et al.

Contributors: Durand de Gevigney, Valentin Marteau, Pierre-François Delhay, Arnaud et al.

Source: 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC). :3037-3044

Subject Terms: Machine Learning, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], 03 medical and health sciences, 0302 clinical medicine, Image processing, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], Semi supervised Learning, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], Pattern recognition, Autoencoder Neural Network, 0202 electrical engineering, electronic engineering, information engineering, Anomaly Detection, 02 engineering and technology

File Description: application/pdf

Access URL: https://hal.inria.fr/hal-03058296/file/IAE__SMC_IEEE_.pdf
https://dblp.uni-trier.de/db/conf/smc/smc2020.html#ValentinMDL20
https://inria.hal.science/hal-03058296v1

Learning Topology-Preserving Data Representations

Authors: Trofimov, Ilya Cherniavskii, Daniil Tulchinskii, Eduard et al.

Contributors: Trofimov, Ilya Cherniavskii, Daniil Tulchinskii, Eduard et al.

Source: ICLR 2023 International Conference on Learning Representations ; https://hal.science/hal-04003214 ; ICLR 2023 International Conference on Learning Representations, May 2023, Kigali, Rwanda ; https://openreview.net/group?id=ICLR.cc/2023/Conference

Subject Terms: Representation Learning, Persistence barcodes, Autoencoder Neural Network, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], [MATH.MATH-AT]Mathematics [math]/Algebraic Topology [math.AT]

Subject Geographic: Kigali, Rwanda

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2302.00136; ARXIV: 2302.00136

Availability: https://hal.science/hal-04003214
https://hal.science/hal-04003214v1/document
https://hal.science/hal-04003214v1/file/4299_learning_topology_preserving_d.pdf

Abnormal Network Traffic Detection Method Combining Mahalanobis Distance and Autoencoder

Authors: LI Beibei, PENG Li, DAI Feifei

Source: Jisuanji gongcheng, Vol 48, Iss 4, Pp 133-142 (2022)

Subject Terms: abnormal network traffic detection, neural network, mahalanobis distance, autoencoder, autoencoder neural network, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

File Description: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20220416.pdf; https://doaj.org/toc/1000-3428

Access URL: https://doaj.org/article/1184e3d42c9048a49631b209ef509e1e

Anomaly Detection in Traffic Trajectories Using a Combination of Fuzzy, Deep Convolutional and Autoencoder Networks

Authors: Mojtaba Banifakhr Mohammad Taghi Sadeghi

Source: Computer and Knowledge Engineering, Vol 4, Iss 2, Pp 1-10 (2021)

Subject Terms: neural-fuzzy inference system, autoencoder neural network, deep neural network, trajectory anomaly detection, Computer software, QA76.75-76.765

File Description: electronic resource

Relation: https://cke.um.ac.ir/article_40733_6897165eebc6ba04d9471e1e28bac633.pdf; https://doaj.org/toc/2538-5453; https://doaj.org/toc/2717-4123

Access URL: https://doaj.org/article/2405b771c5a44e79a8c53116e534c2fd

Machine learning model and strategy for fast and accurate detection of leaks in water supply network

Authors: Xudong Fan Xijin Zhang Xiong ( Bill) Yu

Source: Journal of Infrastructure Preservation and Resilience, Vol 2, Iss 1, Pp 1-21 (2021)

Subject Terms: Water supply network, Artificial intelligence, Machine learning, Artificial neural network, Autoencoder neural network, Leak detection, Engineering (General). Civil engineering (General), TA1-2040

File Description: electronic resource

Relation: https://doaj.org/toc/2662-2521

Access URL: https://doaj.org/article/b7c56b68772e4e069b0f2a85c54d8043

基于深度降噪自编码神经网络的中国大陆地壳厚度反演

Authors: Xianqiong Cheng Kezhi Jiang

Source: Dizhen xuebao, Vol 43, Iss 1, Pp 34-47 (2021)

Subject Terms: deep learning, denosing, autoencoder neural network, chinese mainland, crustal thickness, Geology, QE1-996.5, Geophysics. Cosmic physics, QC801-809

File Description: electronic resource

Relation: https://www.dzxb.org/10.11939/jass.20200043; https://doaj.org/toc/0253-3782

Access URL: https://doaj.org/article/34e71d9af9224c6a84b104e3674b2809

Detection model transfer of apple soluble solids content based on NIR spectroscopy and deep learning

Authors: Guo, Zhiming Zhang, Yiyin Wang, Junyi et al.

Source: Computers and Electronics in Agriculture. 212

Subject Terms: NIR spectroscopy, Deep learning, Model transfer, Cloud data system, Autoencoder neural network

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-511888

An autoencoder neural network integrated into gravitational-wave burst searches to improve the rejection of noise transients

Authors: Sophie Bini Gabriele Vedovato Marco Drago et al.

Contributors: Sophie Bini Gabriele Vedovato Marco Drago et al.

Subject Terms: gravitational-wave burst, autoencoder neural network, transient noises

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001003078500001; volume:40; issue:13; firstpage:1; lastpage:18; numberofpages:18; journal:CLASSICAL AND QUANTUM GRAVITY; https://hdl.handle.net/11573/1690371

Availability: https://hdl.handle.net/11573/1690371
https://doi.org/10.1088/1361-6382/acd981

Comparing a Hybrid Multi-layered Machine Learning Intrusion Detection System to Single-layered and Deep Learning Models

Authors: Collen, Samantha

Source: Culminating Projects in Information Assurance

Subject Terms: Intrusion Detection Systems (IDS), Machine Learning, Deep Learning, Principal Component Analysis (PCA), Support Vector Machine (SVM), Autoencoder Neural Network (ANN), NSL-KDD Dataset

File Description: application/pdf

Relation: https://repository.stcloudstate.edu/msia_etds/136; https://repository.stcloudstate.edu/context/msia_etds/article/1190/viewcontent/auto_convert.pdf

Availability: https://repository.stcloudstate.edu/msia_etds/136
https://repository.stcloudstate.edu/context/msia_etds/article/1190/viewcontent/auto_convert.pdf

A Novel Deep Reinforcement Learning Approach to Traffic Signal Control with Connected Vehicles

Authors: Yang Shi Zhenbo Wang Tim J. LaClair et al.

Source: Applied Sciences, Vol 13, Iss 4, p 2750 (2023)

Subject Terms: traffic signal control, deep reinforcement learning, autoencoder neural network, representation learning, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/13/4/2750; https://doaj.org/toc/2076-3417; https://doaj.org/article/e18cc53342f04942bfd52b94bb8d497a

Availability: https://doi.org/10.3390/app13042750
https://doaj.org/article/e18cc53342f04942bfd52b94bb8d497a

Learning Topology-Preserving Data Representations

Authors: Trofimov, Ilya Cherniavskii, Daniil Tulchinskii, Eduard et al.

Contributors: Trofimov, Ilya Cherniavskii, Daniil Tulchinskii, Eduard et al.

Subject Terms: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], 0301 basic medicine, FOS: Computer and information sciences, [MATH.MATH-PR] Mathematics [math]/Probability [math.PR], Computer Science - Machine Learning, 0303 health sciences, Computer Science - Artificial Intelligence, Autoencoder Neural Network, [INFO.INFO-NE] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], Representation Learning, K-Theory and Homology (math.KT), [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [MATH.MATH-AT] Mathematics [math]/Algebraic Topology [math.AT], Machine Learning (cs.LG), [MATH.MATH-IT] Mathematics [math]/Information Theory [math.IT], 03 medical and health sciences, Persistence barcodes, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Artificial Intelligence (cs.AI), Mathematics - Symplectic Geometry, Mathematics - K-Theory and Homology, FOS: Mathematics, Algebraic Topology (math.AT), Symplectic Geometry (math.SG), Mathematics - Algebraic Topology

File Description: application/pdf

Access URL: http://arxiv.org/abs/2302.00136
https://hal.science/hal-04021744v1
https://hal.science/hal-04003214v1/document
https://hal.science/hal-04003214v1

About the Application of Autoencoders For Visual Defect Detection

Authors: Rádli, Richárd Czúni, László Skala, Václav

Contributors: Rádli, Richárd Czúni, László Skala, Václav

Subject Terms: neuronová síť autoencoderu, konvoluční neuronová síť, detekce defektů, detekce anomálií bez dozoru, autoencoder neural network, convolutional neural network, defect detection, unsupervised anomaly detection

File Description: 8 s.; application/pdf

Relation: 2464–4625(CD/DVD); http://hdl.handle.net/11025/45023; https://doi.org/10.24132/CSRN.2021.3101.20

Availability: http://hdl.handle.net/11025/45023
https://doi.org/10.24132/CSRN.2021.3101.20