Search Results - "Asymmetrical autoencoder"

Efficient Bearing Sensor Data Compression via an Asymmetrical Autoencoder with a Lifting Wavelet Transform Layer

Authors: Zhu, Xin Cetin, Ahmet Enis

Source: 2025 IEEE International Symposium on Circuits and Systems (ISCAS). :1-5

Subject Terms: Electrical Engineering and Systems Science - Signal Processing

Access URL: http://arxiv.org/abs/2501.11737

Deep learning based asymmetrical autoencoder for PAPR reduction of CP-OFDM systems

Authors: Ezmin Abdullah Kaharudin Dimyati Wan Norsyafizan W. Muhamad et al.

Source: Engineering Science and Technology, an International Journal, Vol 50, Iss , Pp 101608- (2024)

Subject Terms: Autoencoder, CP-OFDM, Deep learning, OFDM systems, Peak-to-average power ratio, Engineering (General). Civil engineering (General), TA1-2040

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2215098623002860; https://doaj.org/toc/2215-0986

Access URL: https://doaj.org/article/d6de41d5f0dd43a6bb749d98bfa44813

A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression

Authors: Zhu, Xin Yang, Daoguang Pan, Hongyi et al.

Index Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Electrical Engineering and Systems Science - Signal Processing, text

URL: http://arxiv.org/abs/2310.02862

A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression

Authors: Xin Zhu Daoguang Yang Hongyi Pan et al.

Source: Engineering Applications of Artificial Intelligence. 127:107322

Subject Terms: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Electrical Engineering and Systems Science - Signal Processing, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2310.02862

Multi-view graph convolutional networks based on multi-source information fusion for mechanical fault diagnosis.

Authors: Song, Shanshan Zhang, Shuqing Wu, Xiang

Source: Structural Health Monitoring; Nov2025, Vol. 24 Issue 6, p3728-3752, 25p

Subject Terms: FAULT diagnosis, MULTISENSOR data fusion, EMPIRICAL research, GRAPH neural networks

End-to-End DAE–LDPC–OFDM Transceiver with Learned Belief Propagation Decoder for Robust and Power-Efficient Wireless Communication.

Authors: Mohammed, Mohaimen Çevik, Mesut

Source: Sensors (14248220); Nov2025, Vol. 25 Issue 21, p6776, 38p

Subject Terms: WIRELESS communications, 6G networks, DECODING algorithms, ROBUST control, ADAPTIVE control systems

Trend Change Point Detection in InSAR Derived Displacement Time Series Using MALkCNN: A Deep Learning Approach.

Authors: Arya Fakhri, Seyed Satari, Mehran

Source: Journal of Photogrammetry, Remote Sensing & Geoinformation Science; Aug2025, Vol. 93 Issue 4, p335-350, 16p

HD-CAE: hybrid encoding and deformable decoding autoencoder with cascade attention for visual anomaly detection.

Authors: Chouhan, Santosh Prakash Bhattacharya, Mahua Sharma, Gopal Krishna

Source: Signal, Image & Video Processing; Jul2025, Vol. 19 Issue 7, p1-16, 16p

Fault Signal Emulation of Marine Turbo-Rotating Systems Based on Rotor-Gear Dynamic Interaction Modeling.

Authors: Kim, Seong Hyeon Song, Hyun Min Jeong, Se Hyeon et al.

Source: Journal of Marine Science & Engineering; Jul2025, Vol. 13 Issue 7, p1321, 23p

Subject Terms: FAULT diagnosis, ROTOR dynamics, RELIABILITY in engineering, DYNAMIC models, MECHANICAL vibration research, FORECASTING, MARINE engines

An Unsupervised Anomaly Detection Method for Nuclear Reactor Coolant Pumps Based on Kernel Self-Organizing Map and Bayesian Posterior Inference.

Authors: Wang, Lin Zhou, Shuqiao Zhang, Tianhao et al.

Source: Energies (19961073); Jun2025, Vol. 18 Issue 11, p2887, 19p

Subject Terms: DISTRIBUTION (Probability theory), NUCLEAR industry, SELF-organizing maps, NUCLEAR energy, BAYESIAN field theory, NUCLEAR reactors

Peak‐to‐average power ratio reduction of orthogonal frequency division multiplexing signals using improved salp swarm optimization‐based partial transmit sequence model.

Authors: Tripathi, Vandana Patel, Prabhat Jain, Prashant Kumar et al.

Source: ETRI Journal; Apr2025, Vol. 47 Issue 2, p256-269, 14p

Subject Terms: OPTIMIZATION algorithms, METAHEURISTIC algorithms, COMPUTATIONAL complexity, SIGNAL processing, MATHEMATICAL optimization, FREQUENCY division multiple access

A Novel Method for Fault Migration Diagnosis of Rolling Bearings Based on MSCVIT Model.

Authors: Liu, Xiu-Yan He, Dong-Lin Guo, Dong-Qing et al.

Source: Electronics (2079-9292); Dec2024, Vol. 13 Issue 23, p4726, 20p

Subject Terms: TRANSFORMER models, SINGULAR value decomposition, FAULT diagnosis, WAVELET transforms, ROTATING machinery, ROLLER bearings

PAPR reduction of OTFS using an automatic amplitude reduction neural network with vendermonde matrix-based PTS and SLM algorithms.

Authors: Kumar, Arun Gaur, Nishant Aly, Ayman A. et al.

Source: EURASIP Journal on Wireless Communications & Networking; 10/21/2024, Vol. 2024 Issue 1, p1-18, 18p

Subject Terms: POWER amplifiers, POWER density, POWER spectra, ERROR rates, ALGORITHMS

Hybrid encryption based on a generative adversarial network.

Authors: Amir, Iqbal Suhaimi, Hamizan Mohamad, Roslina et al.

Source: Indonesian Journal of Electrical Engineering & Computer Science; Aug2024, Vol. 35 Issue 2, p971-978, 8p

Subject Terms: GENERATIVE adversarial networks, ARTIFICIAL neural networks, DATA encryption, DATA protection, DATA transmission systems

Image inpainting via multi-resolution network with Fourier convolutions.

Authors: Zhao, Hao-Nan Shen, Li-Yong Wang, Ji-Wei

Source: Signal, Image & Video Processing; Jul2024, Vol. 18 Issue 5, p4753-4762, 10p

An Improved End-to-End Autoencoder Based on Reinforcement Learning by Using Decision Tree for Optical Transceivers.

Authors: Zhang, Qianwu Wang, Zicong Duan, Shuaihang et al.

Source: Micromachines; Jan2022, Vol. 13 Issue 1, p31-31, 1p

Subject Terms: OPTICAL transceivers, DECISION trees, REINFORCEMENT learning, VIDEO coding, FORWARD error correction, BIT error rate, ADDITION (Mathematics)

Simple and complex cells revisited: toward a selectivity-invariance model of object recognition.

Authors: Xin Li Shuo Wang

Source: Frontiers in Computational Neuroscience; 2023, p1-13, 13p

Subject Terms: ARTIFICIAL neural networks, OBJECT recognition (Computer vision), TEMPORAL lobe, TOPOLOGICAL spaces

An Improved End-to-End Autoencoder Based on Reinforcement Learning by Using Decision Tree for Optical Transceivers

Authors: Qianwu Zhang Zicong Wang Shuaihang Duan et al.

Source: Micromachines, Vol 13, Iss 31, p 31 (2021)

Subject Terms: deep learning, machine learning, Adaboost algorithm, neural networks, optical fiber communication, Mechanical engineering and machinery, TJ1-1570

Relation: https://www.mdpi.com/2072-666X/13/1/31; https://doaj.org/toc/2072-666X; https://doaj.org/article/9a3952b3141745939ca613ccaf075ca9

Availability: https://doi.org/10.3390/mi13010031
https://doaj.org/article/9a3952b3141745939ca613ccaf075ca9

Denoising convolutional autoencoder configuration for condition monitoring of rotating machines.

Authors: Godói, Leonardo Franco de Nóbrega, Eurípedes Guilherme de Oliveira

Source: Journal of the Brazilian Society of Mechanical Sciences & Engineering; Jan2021, Vol. 43 Issue 1, p1-13, 13p

Classification of tumor signatures from electrosurgical vapors using mass spectrometry and machine learning: a feasibility study.

Authors: Fei, Baowei Linte, Cristian A. Connolly, Laura et al.

Source: Proceedings of SPIE; 1/13/2020, Vol. 11315, p113150Q-113150Q-9, 1p