AIMC Topic: Data Compression

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VNVC: A Versatile Neural Video Coding Framework for Efficient Human-Machine Vision.

IEEE transactions on pattern analysis and machine intelligence Jun 5, 2024
Almost all digital videos are coded into compact representations before being transmitted. Such compact representations need to be decoded back to pixels before being displayed to humans and - as usual - before being enhanced/analyzed by machine visi...
Humans Neural Networks, Computer Video Recording Data Compression Algorithms Image Processing, Computer-Assisted
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GenCoder: A Novel Convolutional Neural Network Based Autoencoder for Genomic Sequence Data Compression.

IEEE/ACM transactions on computational biology and bioinformatics Jun 5, 2024
Revolutionary advances in DNA sequencing technologies fundamentally change the nature of genomics. Today's sequencing technologies have opened into an outburst in genomic data volume. These data can be used in various applications where long-term sto...
Data Compression Algorithms Deep Learning Genomics Sequence Analysis, DNA Humans Neural Networks, Computer
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Compressing neural networks via formal methods.

Neural networks : the official journal of the International Neural Network Society May 29, 2024
Advancements in Neural Networks have led to larger models, challenging implementation on embedded devices with memory, battery, and computational constraints. Consequently, network compression has flourished, offering solutions to reduce operations a...
Humans Neural Networks, Computer Algorithms Markov Chains 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 Neurons Brain-Computer Interfaces Electroencephalography Signal Processing, Computer-Assisted Data Compression
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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...
Data Compression Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Artifacts Neural Networks, Computer Humans Algorithms
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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 Computer Security Electrocardiography Data Compression Signal Processing, Computer-Assisted Neural Networks, Computer Internet of Things Humans Algorithms
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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 Signal Processing, Computer-Assisted Data Compression Deep Learning 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 ...
COVID-19 Data Compression Humans Tomography, X-Ray Computed SARS-CoV-2 Pandemics Deep Learning
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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...
Neural Networks, Computer Data Compression Physical Phenomena
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