Cargando…

One-Class Convolutional Neural Networks for Water-Level Anomaly Detection

Companies that own water systems to provide water storage and distribution services always strive to enhance and efficiently distribute water to different places for various purposes. However, these water systems are likely to face problems ranging from leakage to destruction of infrastructures, lea...

Descripción completa

Detalles Bibliográficos
Autores principales:	Nicholaus, Isack Thomas, Lee, Jun-Seoung, Kang, Dae-Ki
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698379/ https://www.ncbi.nlm.nih.gov/pubmed/36433361 http://dx.doi.org/10.3390/s22228764

Ejemplares similares

Anomaly Detection of Water Level Using Deep Autoencoder
por: Nicholaus, Isack Thomas, et al.
Publicado: (2021)

A Convolutional Neural Network for Improved Anomaly-Based Network Intrusion Detection
por: Al-Turaiki, Isra, et al.
Publicado: (2021)

Detection of anomalies in cycling behavior with convolutional neural network and deep learning
por: Yaqoob, Shumayla, et al.
Publicado: (2023)

Detection of Appearance and Behavior Anomalies in Stationary Camera Videos Using Convolutional Neural Networks
por: Chen, H., et al.
Publicado: (2022)

Data Anomaly Detection for Structural Health Monitoring Based on a Convolutional Neural Network
por: Kim, Soon-Young, et al.
Publicado: (2023)

Cost-Sensitive Learning for Anomaly Detection in Imbalanced ECG Data Using Convolutional Neural Networks
por: Zubair, Muhammad, et al.
Publicado: (2022)

Small-Scale Urban Object Anomaly Detection Using Convolutional Neural Networks with Probability Estimation
por: García-Aguilar, Iván, et al.
Publicado: (2023)

Adapting the pre-trained convolutional neural networks to improve the anomaly detection and classification in mammographic images
por: Saber, Abeer, et al.
Publicado: (2023)

Detection of Water pH Using Visible Near-Infrared Spectroscopy and One-Dimensional Convolutional Neural Network
por: Li, Dengshan, et al.
Publicado: (2022)

Hierarchical Image Transformation and Multi-Level Features for Anomaly Defect Detection
por: Farady, Isack, et al.
Publicado: (2023)

Anomaly Detection with Spiking Neural Networks
por: Borzyszkowski, Bartłomiej
Publicado: (2020)

Unsupervised Anomaly Detection for Cars CAN Sensors Time Series Using Small Recurrent and Convolutional Neural Networks
por: Cherdo, Yann, et al.
Publicado: (2023)

Localizing Perturbations in Pressurized Water Reactors Using One-Dimensional Deep Convolutional Neural Networks
por: Pantera, Laurent, et al.
Publicado: (2021)

On the Application of Time Frequency Convolutional Neural Networks to Road Anomalies’ Identification with Accelerometers and Gyroscopes
por: Baldini, Gianmarco, et al.
Publicado: (2020)

Evaluating the Performance of Pre-Trained Convolutional Neural Network for Audio Classification on Embedded Systems for Anomaly Detection in Smart Cities
por: Lamrini, Mimoun, et al.
Publicado: (2023)

Video Abnormal Event Detection Based on One-Class Neural Network
por: Xia, Xiangli, et al.
Publicado: (2021)

Convolutional neural network for earthquake detection and location
por: Perol, Thibaut, et al.
Publicado: (2018)

Convolutional Neural Networks Backbones for Object Detection
por: Benali Amjoud, Ayoub, et al.
Publicado: (2020)

Balanced Convolutional Neural Networks for Pneumoconiosis Detection
por: Hao, Chaofan, et al.
Publicado: (2021)

Bioluminescence Tomography Based on One-Dimensional Convolutional Neural Networks
por: Yu, Jingjing, et al.
Publicado: (2021)

Automatic QRS complex detection using two-level convolutional neural network
por: Xiang, Yande, et al.
Publicado: (2018)

Breast cancer detection: Shallow convolutional neural network against deep convolutional neural networks based approach
por: Das, Himanish Shekhar, et al.
Publicado: (2023)

Anomaly Detection Using Signal Segmentation and One-Class Classification in Diffusion Process of Semiconductor Manufacturing
por: Chang, Kyuchang, et al.
Publicado: (2021)

Convolutional neural network with Huffman pooling for handling data with insufficient categories: A novel method for anomaly detection and fault diagnosis
por: Li, Yuqing, et al.
Publicado: (2022)

Multi-Sensor and Decision-Level Fusion-Based Structural Damage Detection Using a One-Dimensional Convolutional Neural Network
por: Teng, Shuai, et al.
Publicado: (2021)

A Correlation-Based Anomaly Detection Model for Wireless Body Area Networks Using Convolutional Long Short-Term Memory Neural Network
por: Albattah, Albatul, et al.
Publicado: (2022)

Insect Detection and Classification Based on an Improved Convolutional Neural Network
por: Xia, Denan, et al.
Publicado: (2018)

3-Dimensional convolutional neural networks for predicting StarCraft Ⅱ results and extracting key game situations
por: Baek, Insung, et al.
Publicado: (2022)

Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network
por: Jung, Hwejin, et al.
Publicado: (2018)

Deep Convolutional Neural Networks for Chest Diseases Detection
por: Abiyev, Rahib H., et al.
Publicado: (2018)

Detection of Cattle Using Drones and Convolutional Neural Networks
por: Rivas, Alberto, et al.
Publicado: (2018)

Convolutional neural network-based surgical instrument detection
por: Cai, Tongbiao, et al.
Publicado: (2020)

Convolutional Neural Network-Based Discriminator for Outlier Detection
por: Alharbi, Fahad, et al.
Publicado: (2021)

Scaphoid Fracture Detection by Using Convolutional Neural Network
por: Yang, Tai-Hua, et al.
Publicado: (2022)

Detection of Aerobics Action Based on Convolutional Neural Network
por: Zhang, Siyu
Publicado: (2022)

Automated COVID-19 detection with convolutional neural networks
por: Dumakude, Aphelele, et al.
Publicado: (2023)

Using convolutional neural networks to detect GNSS multipath
por: Guillard, Anthony, et al.
Publicado: (2023)

End-to-End Deep One-Class Learning for Anomaly Detection in UAV Video Stream
por: Hamdi, Slim, et al.
Publicado: (2021)

One-Stage Multi-Sensor Data Fusion Convolutional Neural Network for 3D Object Detection
por: Li, Minle, et al.
Publicado: (2019)

Detection of Cardiovascular Disease from Clinical Parameters Using a One-Dimensional Convolutional Neural Network
por: Khan Mamun, Mohammad Mahbubur Rahman, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_6g61h9r4bh5uk37c1rcglf8r8g