Search Results - "long short-term memory (LSTM) autoencoder"

Application of Long Short-Term Memory (LSTM) Autoencoder with Density-Based Spatial Clustering of Applications with Noise(DBSCAN) on Anomaly Detection

Authors: Chauchen Torng Hehe Peng

Source: AHFE International.

Development of anomaly detector for motor bearing condition monitoring using Fast Fourier Transform (FFT) and Long Short Term Memory (LSTM)-Autoencoder

Authors: A. Bashir Sulaimon Suliat Jimoh Oladebo Mohammed Kolo Idris et al.

Source: i-manager’s Journal on Pattern Recognition. 10:1

A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction Using Multimodal MRI Data

Authors: Hatami, Nima Mechtouff, Laura Rousseau, David et al.

Contributors: Hatami, Nima Mechtouff, Laura Rousseau, David et al.

Source: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). :1-5

Subject Terms: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], FOS: Computer and information sciences, Computer Science - Machine Learning, Multimodal image fusion, Computer Vision and Pattern Recognition (cs.CV), Magnetic Resonance Imaging (MRI), Computer Science - Computer Vision and Pattern Recognition, Stroke outcome prediction, Long Short-Term Memory (LSTM), Multimodal image fusion Long Short-Term Memory (LSTM) Autoencoder (AE) Stroke outcome prediction Magnetic Resonance Imaging (MRI) modified Rankin Scale (mRS), Machine Learning (cs.LG), modified Rankin Scale (mRS), [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], Autoencoder (AE)

File Description: application/pdf

Access URL: http://arxiv.org/abs/2303.09484
https://hal.science/hal-04210499v1/document
https://hal.science/hal-04210499v1
https://doi.org/10.1109/isbi53787.2023.10230459

Data-Driven Detection of Stealth Cyber-Attacks in DC Microgrids

Authors: Abdulrahman Takiddin Suman Rath Muhammad Ismail et al.

Source: Takiddin, A, Rath, S, Ismail, M & Sahoo, S 2022, 'Data-driven Detection of Stealth Cyber-attacks in DC Microgrids', I E E E Systems Journal, vol. 16, no. 4, pp. 6097-6106. https://doi.org/10.1109/JSYST.2022.3183140

Subject Terms: Artificial intelligence, Distributed databases, Cybersecurity, cybersecurity, Detectors, Anomaly detection, 02 engineering and technology, Encoder, Machine Learning, name=SDG 7 - Affordable and Clean Energy, dc microgrids, Power electronics control, Voltage control, 0202 electrical engineering, electronic engineering, information engineering, Training, Feature extraction, Microgrids, Power Electronics, LSTM, DC microgrids, long short-term memory (LSTM)-autoencoder, name=SDG 11 - Sustainable Cities and Communities

File Description: application/pdf

Access URL: https://vbn.aau.dk/da/publications/cf6a6458-d32c-46b6-8b16-98871483f2c8
http://www.scopus.com/inward/record.url?scp=85134267107&partnerID=8YFLogxK
https://vbn.aau.dk/ws/files/472764938/FINAL_VERSION_SJ.pdf
https://doi.org/10.1109/JSYST.2022.3183140

DEVELOPMENT OF ANOMALY DETECTOR FOR MOTOR BEARING CONDITION MONITORING USING FAST FOURIER TRANSFORM (FFT) AND LONG SHORT TERM MEMORY (LSTM)-AUTOENCODER.

Authors: BASHIR, SULAIMON A. JIMOH, OLADEBO SULIAT KOLO, IDRIS MOHAMMED et al.

Source: i-Manager's Journal of Pattern Recognition; Jan-Jun2023, Vol. 10 Issue 1, p1-15, 15p

GCN-Based LSTM Autoencoder with Self-Attention for Bearing Fault Diagnosis

Authors: Daehee Lee Hyunseung Choo Jongpil Jeong

Source: Sensors, Vol 24, Iss 15, p 4855 (2024)

Subject Terms: bearing fault diagnosis, fault simulator, graph convolution network (GCN), self-attention, long short-term memory (LSTM) autoencoder, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/24/15/4855; https://doaj.org/toc/1424-8220; https://doaj.org/article/2dcdc4d428104c0b9eddaf380f220523

Availability: https://doi.org/10.3390/s24154855
https://doaj.org/article/2dcdc4d428104c0b9eddaf380f220523

Enhancing the Detection of Cyber-Attacks to EV Charging Infrastructures Through AI Technologies.

Authors: Terruggia, Roberta Maldarella, Alberto Dondossola, Giovanna et al.

Source: Electronics (2079-9292); Nov2025, Vol. 14 Issue 21, p4321, 20p

Subject Terms: ANOMALY detection (Computer security), ELECTRIC vehicle charging stations, REAL-time computing, ENERGY infrastructure, CYBERTERRORISM, DEEP learning, DATA security, COGNITIVE computing

Enhancing collision avoidance in mixed waterborne transport: Human-mimic navigation and decision-making by autonomous vessels.

Authors: Song, Rongxin Papadimitriou, Eleonora Negenborn, Rudy R. et al.

Source: Ocean Engineering. Apr2025, Vol. 322, pN.PAG-N.PAG. 1p.

Subject Terms: *LONG short-term memory, *K-means clustering, *AUTOENCODERS, *SHIP models, *PREDICTION models

DeepChainIoT: Exploring the Mutual Enhancement of Blockchain and Deep Neural Networks (DNNs) in the Internet of Things (IoT).

Authors: Sapkota, Sabina Hu, Yining Gill, Asif et al.

Source: Electronics (2079-9292); Sep2025, Vol. 14 Issue 17, p3395, 40p

Subject Terms: INTERNET of things, BLOCKCHAINS, DATA management, ANOMALY detection (Computer security), ARTIFICIAL neural networks

Edge-Based Real-Time Fault Detection in UAV Systems via B-Spline Telemetry Reconstruction and Lightweight Hybrid AI.

Authors: Reis, Manuel J. C. S. Reis, António J. D.

Source: Sensors (14248220); Aug2025, Vol. 25 Issue 16, p4944, 19p

Subject Terms: FAULT diagnosis, SIGNAL reconstruction, OUTLIER detection, REAL-time computing, INTERPOLATION, MICROCONTROLLERS, DRONE aircraft

A deep semi-supervised machine learning algorithm for detecting transportation modes based on GPS tracking data.

Authors: Sadeghian, Paria Golshan, Arman Zhao, Mia Xiaoyun et al.

Source: Transportation; Aug2025, Vol. 52 Issue 4, p1745-1765, 21p

Subject Terms: ARTIFICIAL neural networks, MACHINE learning, SUPERVISED learning, LONG short-term memory, ARTIFICIAL intelligence

A multi-tier framework of decentralized computing environment for precision agriculture (DCEPA).

Authors: Muniswamy Panduranga, Kiran Hejjaji Ranganathasharma, Roopashree

Source: Indonesian Journal of Electrical Engineering & Computer Science; Aug2025, Vol. 39 Issue 2, p1072-1080, 9p

Subject Terms: PRECISION farming, MACHINE learning, HETEROGENEOUS computing, ELECTRONIC data processing, RESOURCE management, MODULAR design, DECISION theory, ENERGY consumption

Deep learning-based anomaly detection in Drift Tube Quadrupole operation for the KOMAC LINAC.

Authors: Kim, Dong-Hwan Kim, Han-Sung Kwon, Hyeok-Jung et al.

Source: Journal of Nuclear Science & Technology; Aug2025, Vol. 62 Issue 8, p709-714, 6p

Subject Terms: DEEP learning, MACHINE learning, LINEAR accelerators, FAULT diagnosis, AUTOENCODERS, CONDITION-based maintenance, OUTLIER detection

Geographic Terms: KOREA

Anomaly Detection in Networking Logs Using Unsupervised Autoencoder Learning.

Authors: Bar, Kaushik

Source: IUP Journal of Computer Sciences; Jul-Sep2025, Vol. 19 Issue 3, p47-60, 14p

Subject Terms: LONG short-term memory, ANOMALY detection (Computer security), AUTOENCODERS, ROOT cause analysis, DETECTORS

Classification and Characterization of Passive Inter-modulation Interference by Machine Learning

Additional Titles: Klassificering och karakterisering av passiv intermodulationsstörning genom maskininlärning

Authors: Sun, Yezhan

Index Terms: Machine Learning, Passive Inter-modulation Interference, Classification, Characterization, Maskininlärning, Passiv intermodulationsstörning, Klassificering, Karakterisering, Computer and Information Sciences, Data- och informationsvetenskap, Student thesis, info:eu-repo/semantics/bachelorThesis, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-364880
TRITA-EECS-EX ; 2025:239

Intelligent Sensing and Identification of Spectrum Anomalies With Alpha‐Stable Noise.

Authors: Liu, Mingqian Wen, Zhaoxi Chen, Yunfei et al.

Source: International Journal of Intelligent Systems; 2/20/2025, Vol. 2025, p1-15, 15p

Subject Terms: NOISE, SENSES, MEMORY

Monte Carlo Dropout Uncertainty Quantification of Long Short-Term Memory Autoencoder Anomaly Detection in a Liquid Sodium Cold Trap.

Authors: Akins, Alexandra Kultgen, Derek Wu, Xu et al.

Source: Nuclear Technology. Dec2025, Vol. 211 Issue 12, p3004-3017. 14p.

Smart sensing and anomaly detection for microalgae culture based on LoRaWAN sensors and LSTM autoencoder.

Authors: Soon, Chin Fhong Jamia’an, Mahdzir Mohamed Sunar, Norshuhaila et al.

Source: Aquaculture International. Nov2025, Vol. 33 Issue 6, p1-25. 25p.

Algorithmic trading and price forecasting: machine learning and deep learning strategies for financial markets.

Authors: Mahmoudi, Yasamin

Source: Quality & Quantity; Oct2025, Vol. 59 Issue 5, p4757-4778, 22p

Subject Terms: DEEP learning, HOME prices, COMPUTATIONAL learning theory

Application of Anomaly Detection to Identifying Aggressive Pig Behaviors Using Reconstruction Loss Inversion.

Authors: Kim, Hyun-Soo Kim, Yu Sung Edward Devira, Fania Ardelia et al.

Source: AgriEngineering; Dec2024, Vol. 6 Issue 4, p4442-4459, 18p

Subject Terms: CONVOLUTIONAL neural networks, ANIMAL aggression, LONG short-term memory, COMPUTER vision, AUTOENCODERS