Results 61 to 70 of about 22,970,744 (375)
, 2017 Traditional image and video compression algorithms rely on hand-crafted encoder/decoder pairs (codecs) that lack adaptability and are agnostic to the data being compressed.
Budden, David +2 more
core +1 more source
Circulating histones as clinical biomarkers in critically ill conditions
FEBS Letters, EarlyView.Circulating histones are emerging as promising biomarkers in critical illness due to their diagnostic, prognostic, and therapeutic potential. Detection methods such as ELISA and mass spectrometry provide reliable approaches for quantifying histone levels in plasma samples.
José Luis García‐Gimenez +17 more
wiley +1 more source
SPADE: Activity Prediction in Smart Homes Using Prefix Tree Based Context Generation
IEEE Access, 2019 An automated smart home system is a key contributor to user assistance technology in modern civilization. Crucial merit of such a system is its ability to train itself through recorded data and recognize patterns in resident behaviors. Lack of sufficient
Araf Farayez +2 more
doaj +1 more source
Kernel Matrix Approximation on Class-Imbalanced Data With an Application to Scientific Simulation
IEEE Access, 2021 Generating low-rank approximations of kernel matrices that arise in nonlinear machine learning techniques holds the potential to significantly alleviate the memory and computational burdens.
Parisa Hajibabaee +2 more
doaj +1 more source
Single‐cell insights into the role of T cells in B‐cell malignancies
FEBS Letters, EarlyView.Single‐cell technologies have transformed our understanding of T cell–tumor cell interactions in B‐cell malignancies, revealing new T‐cell subsets, functional states, and immune evasion mechanisms. This Review synthesizes these findings, highlighting the roles of T cells in pathogenesis, progression, and therapy response, and underscoring their ...
Laura Llaó‐Cid
wiley +1 more source
Data Compression in Smart Distribution Systems via Singular Value Decomposition
IEEE Transactions on Smart Grid, 2017 Electrical distribution systems have been experiencing many changes in recent times. Advances in metering system infrastructure and the deployment of a large number of smart meters in the grid will produce a big volume of data that will be required for ...
J. Souza, T. Assis, B. Pal
semanticscholar +1 more source
Multimodal Deep Learning Approach for Joint EEG-EMG Data Compression and Classification [PDF]
IEEE Wireless Communications and Networking Conference, 2017 In this paper, we present a joint compression and classification approach of EEG and EMG signals using a deep learning approach. Specifically, we build our system based on the deep autoencoder architecture which is designed not only to extract ...
Ahmed Ben Said +4 more
semanticscholar +1 more source
FEBS Letters, EarlyView.Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu +17 more
wiley +1 more source
Data Compression and Wavelet Transforms [PDF]
Symposium - International Astronomical Union, 1994 Efficient data compression needs analyzing functions to recognise the local resolution of the signal. They are provided by the wavelet concept. The optimal wavelet (best information concentration) is defined by the image model of the application.
Richter, G. M. +3 more
openaire +3 more sources
A statistical-mechanical view on source coding: physical compression and data compression
, 2010 We draw a certain analogy between the classical information-theoretic problem of lossy data compression (source coding) of memoryless information sources and the statistical mechanical behavior of a certain model of a chain of connected particles (e.g ...
Merhav, Neri
core +1 more source