Výsledky vyhledávání - "Convolutional autoencoder (CAE)"

CAE-MAS: Convolutional Autoencoder Interference Cancellation for Multiperson Activity Sensing With FMCW Microwave Radar Autor Raeis, Hossein, Kazemi, Mohammad, Shirmohammadi, Shervin

“… Frequency-modulated continuous-wave (FMCW) radars can be used for target tracking, but their collected data are usually accompanied by a significant amount of interference, especially in indoor environments hosting multiple human subjects…”
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Unsupervised Feature Extraction From Raw Data for Gesture Recognition With Wearable Ultralow-Power Ultrasound Autor Vostrikov, Sergei, Anderegg, Matteo, Benini, Luca, Cossettini, Andrea

“…Wearable ultrasound (US) is a novel sensing approach that shows promise in multiple application domains, and specifically in hand gesture recognition (HGR). In…”
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Applied Computing and Artificial Intelligence

“…Applied computing and artificial intelligence methods have attracted a growing interest in recent years due to their effectiveness at solving technical…”
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DOA Estimation Based on Convolutional Autoencoder in the Presence of Array Imperfections Autor Chang, Dah-Chung, Liu, Yan-Ting

“…Array imperfections may exist in an antenna system subject to non-ideal design and practical limitations…”
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Deep learning with noise‐to‐noise training for denoising in SPECT myocardial perfusion imaging Autor Liu, Junchi, Yang, Yongyi, Wernick, Miles N., Pretorius, P. Hendrik, King, Michael A.

“…Purpose Post‐reconstruction filtering is often applied for noise suppression due to limited data counts in myocardial perfusion imaging (MPI) with…”
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Compression of EEG signals with the LSTM-autoencoder via domain adaptation approach Autor Liu, Yongfei, Yang, Fan, Wu, Binbin

“… However, a major obstacle in this process arises from the decline in performance when compressing EEG signals from multiple subjects…”
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Discrimination of multiple sclerosis using scanning laser ophthalmoscopy images with autoencoder-based feature extraction Autor Aghababaei, Ali, Arian, Roya, Soltanipour, Asieh, Ashtari, Fereshteh, Rabbani, Hossein, Kafieh, Raheleh

“… A subject-wise data splitting approach was employed to ensure…”
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Latent traits of lung tissue patterns in former smokers derived by dual channel deep learning in computed tomography images Autor Li, Frank, Choi, Jiwoong, Zou, Chunrui, Newell, John D., Comellas, Alejandro P., Lee, Chang Hyun, Ko, Hongseok, Barr, R. Graham, Bleecker, Eugene R., Cooper, Christopher B., Abtin, Fereidoun, Barjaktarevic, Igor, Couper, David, Han, MeiLan, Hansel, Nadia N., Kanner, Richard E., Paine, Robert, Kazerooni, Ella A., Martinez, Fernando J., O’Neal, Wanda, Rennard, Stephen I., Smith, Benjamin M., Woodruff, Prescott G., Hoffman, Eric A., Lin, Ching-Long

“… We employed an unsupervised three-dimensional (3D) convolutional autoencoder (CAE)-feature constructor (FC…”
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Detection and localization of myocardial infarction based on a convolutional autoencoder Autor Sugimoto, Kaiji, Kon, Yudai, Lee, Saerom, Okada, Yoshifumi

“…Twelve-lead electrocardiograms (ECG) are widely used for the diagnosis of myocardial infarction (MI). For MI detection and localization, 12 ECG signals should…”
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Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder Autor Zhao, Yu, Dong, Qinglin, Chen, Hanbo, Iraji, Armin, Li, Yujie, Makkie, Milad, Kou, Zhifeng, Liu, Tianming

“…•A new deep 3D convolutional autoencoder to model brain network maps.•Derived fine-granularity functional brain network atlases.•Revealed unique network…”
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CAE-ResVGG FusionNet: A Feature Extraction Framework Integrating Convolutional Autoencoders and Transfer Learning for Immature White Blood Cells in Acute Myeloid Leukemia Autor Elhassan, Tusneem, Osman, Ahmed Hamza, Mohd Rahim, Mohd Shafry, Mohd Hashim, Siti Zaiton, Ali, Abdulalem, Elhassan, Esmaeil, Elkamali, Yusra, Aljurf, Mahmoud

“… The proposed framework leverages an integrated approach, by combining a convolutional autoencoder (CAE…”
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Clustering Insomnia Patterns by Data From Wearable Devices: Algorithm Development and Validation Study Autor Park, Sungkyu, Lee, Sang Won, Han, Sungwon, Cha, Meeyoung

“…As societies become more complex, larger populations suffer from insomnia. In 2014, the US Centers for Disease Control and Prevention declared that sleep…”
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Fatigue driving detection method based on Time-Space-Frequency features of multimodal signals Autor Shi, Jinxuan, Wang, Kun

“… In the proposed method, the convolutional autoencoder (CAE) is used to fuse electroencephalogram (EEG…”
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Weighted salp swarm algorithm with deep learning-powered cyber-threat detection for robust network security Autor Althobaiti, Maha M., Escorcia-Gutierrez, José

“…The fast development of the internet of things has been associated with the complex worldwide problem of protecting interconnected devices and networks. The…”
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Personal Identification Using 3D Topographic Cubes Extracted from EEG Signals by Means of Automated Feature Representation Autor Oztemel, Muhammed Esad, Soysal, Ömer Muhammet

“… This study proposes a framework based on a convolutional autoencoder (CAE) along with a traditional classifier for identifying individuals using EEG brainprints…”
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CAE-MAS: Convolutional Autoencoder Interference Cancellation for Multi-Person Activity Sensing with FMCW Microwave Radar Autor Raeis, Hossein, Kazemi, Mohammad, Shirmohammadi, Shervin

“… Frequency Modulated Continuous Wave (FMCW) radars can be used for target tracking, but their collected data is usually accompanied by a significant amount of interference, especially in indoor environments hosting multiple human subjects…”
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Unsupervised defect detection for solar photovoltaic cells based on convolutional autoencoder Autor Zhang, Yufei, Zhang, Xu, Tu, Dawei

“… Aiming at PV cell EL images, an unsupervised defect detection method was proposed. Specifically, an unsupervised convolutional autoencoder (CAE…”
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Cuff-less and Calibration-free Blood Pressure Estimation Using Convolutional Autoencoder with Unsupervised Feature Extraction Autor Zhang, Jialun, Wu, Dan, Li, Ye

“… In this study, we first attempt to validate the feasibility of convolutional autoencoder (CAE) to estimate continuous BP without calibration and hand-crafted feature extraction…”
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Towards Unsupervised Subject-Independent Speech-Based Relapse Detection in Patients with Psychosis using Variational Autoencoders Autor Garoufis, C., Zlatintsi, A., Filntisis, P. P., Efthymiou, N., Kalisperakis, E., Karantinos, T., Garyfalli, V., Lazaridi, M., Smyrnis, N., Maragos, P.

“…Generative models, such as Variational Autoen-coders, are being increasingly utilized for various acoustic modeling tasks, such as anomaly detection from audio…”
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A Real-Time BCI for Stroke Hand Rehabilitation Using Latent EEG Features from Healthy Subjects Autor Omar, Fady. M., Omar, Amr. M., Eyada, Khaled, Rabie, Mohamed, Azab, Ahmed. m., Kamel, Mohamed A.

“… EEG signals are recorded using a 14-channel Emotiv EPOC+ headset and processed through a supervised convolutional autoencoder (CAE…”
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