AIMC Topic: Data Compression

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Efficient in Vivo Neural Signal Compression Using an Autoencoder-Based Neural Network.

IEEE transactions on biomedical circuits and systems May 28, 2024
Conventional in vivo neural signal processing involves extracting spiking activity within the recorded signals from an ensemble of neurons and transmitting only spike counts over an adequate interval. However, for brain-computer interface (BCI) appli...
Algorithms Animals Neural Networks, Computer Brain-Computer Interfaces Data Compression Signal Processing, Computer-Assisted Electroencephalography Neurons
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Enhancing quality and speed in database-free neural network reconstructions of undersampled MRI with SCAMPI.

Magnetic resonance in medicine May 15, 2024
PURPOSE: We present SCAMPI (Sparsity Constrained Application of deep Magnetic resonance Priors for Image reconstruction), an untrained deep Neural Network for MRI reconstruction without previous training on datasets. It expands the Deep Image Prior a...
Magnetic Resonance Imaging Artifacts Image Processing, Computer-Assisted Data Compression Humans Neural Networks, Computer Algorithms Brain
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Compression and Encryption of Heterogeneous Signals for Internet of Medical Things.

IEEE journal of biomedical and health informatics May 6, 2024
Psychophysiological computing can be utilized to analyze heterogeneous physiological signals with psychological behaviors in the Internet of Medical Things (IoMT). Since IoMT devices are generally limited by power, storage, and computing resources, i...
Photoplethysmography Electrocardiography Algorithms Computer Security Humans Data Compression Neural Networks, Computer Signal Processing, Computer-Assisted Internet of Things
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CLPREM: A real-time traffic prediction method for 5G mobile network.

PloS one Apr 1, 2024
Network traffic prediction is an important network monitoring method, which is widely used in network resource optimization and anomaly detection. However, with the increasing scale of networks and the rapid development of 5-th generation mobile netw...
Neural Networks, Computer Algorithms Forecasting Data Compression
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Fast reconstruction of EEG signal compression sensing based on deep learning.

Scientific reports Mar 1, 2024
When traditional EEG signals are collected based on the Nyquist theorem, long-time recordings of EEG signals will produce a large amount of data. At the same time, limited bandwidth, end-to-end delay, and memory space will bring great pressure on the...
Algorithms Deep Learning Signal Processing, Computer-Assisted Data Compression Electroencephalography
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DeepCSFusion: Deep Compressive Sensing Fusion for Efficient COVID-19 Classification.

Journal of imaging informatics in medicine Feb 21, 2024
Worldwide, the COVID-19 epidemic, which started in 2019, has resulted in millions of deaths. The medical research community has widely used computer analysis of medical data during the pandemic, specifically deep learning models. Deploying models on ...
Humans Pandemics Deep Learning Data Compression Tomography, X-Ray Computed SARS-CoV-2 COVID-19
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On the compression of neural networks using ℓ-norm regularization and weight pruning.

Neural networks : the official journal of the International Neural Network Society Dec 13, 2023
Despite the growing availability of high-capacity computational platforms, implementation complexity still has been a great concern for the real-world deployment of neural networks. This concern is not exclusively due to the huge costs of state-of-th...
Physical Phenomena Neural Networks, Computer Data Compression
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DTLR-CS: Deep tensor low rank channel cross fusion neural network for reproductive cell segmentation.

PloS one Nov 30, 2023
In recent years, with the development of deep learning technology, deep neural networks have been widely used in the field of medical image segmentation. U-shaped Network(U-Net) is a segmentation network proposed for medical images based on full-conv...
Reproduction Data Compression Semantic Differential Algorithms Image Processing, Computer-Assisted Neural Networks, Computer
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Corruption depth: Analysis of DNN depth for misclassification.

Neural networks : the official journal of the International Neural Network Society Nov 20, 2023
Many large and complex deep neural networks have been shown to provide higher performance on various computer vision tasks. However, very little is known about the relationship between the complexity of the input data along with the type of noise and...
Neural Networks, Computer Attention Data Compression
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Tree-Structured Data Clustering-Driven Neural Network for Intra Prediction in Video Coding.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jun 23, 2023
Intra prediction is a crucial part of video compression, which utilizes local information in images to eliminate spatial redundancy. As the state-of-the-art video coding standard, Versatile Video Coding (H.266/VVC) employs multiple directional predic...
Data Compression Cluster Analysis Neural Networks, Computer
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