Results 71 to 80 of about 4,029,563 (257)
An efficient fuzzy based technique for signal classification
Fuzzy systems are currently finding practical applications, ranging from "soft" regulatory control in consumer products to accurate modelling of non-linear systems.
Kodogiannis, V.
core
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley +1 more source
A Dilated CNN‐Based Model for Stress Detection Using Raw PPG Signals
Stress, a common response to challenging situations, has become pervasive in contemporary daily life due to various factors. Persistent stress can weaken the human immune system, increasing the risk of chronic stress and contributing to a range of ...
Koorosh Motaman +3 more
doaj +1 more source
Nonstationary signal classification using pseudo power signatures
Conference PaperThis paper deals with the problem of classification of nonstationary signals using signatures which are essentially independent of the signal length.
Aravena, Jorge L., Venkatachalam, Vidya
core +1 more source
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Discriminative Tandem Features for HMM-based EEG Classification [PDF]
We investigate the use of discriminative feature extractors in tandem configuration with generative EEG classification system. Existing studies on dynamic EEG classification typically use hidden Markov models (HMMs) which lack discriminative capability ...
Ting, Chee-Ming +8 more
core +1 more source
Design and analysis strategies for robust microbiome ageing research
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Image Classification of Human Carcinoma Cells Using Complex Wavelet-Based Covariance Descriptors [PDF]
Cancer cell lines are widely used for research purposes in laboratories all over the world. Computer-assisted classification of cancer cells can alleviate the burden of manual labeling and help cancer research.
Suhre, Alexander +24 more
core +1 more source
Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani +3 more
wiley +1 more source
Prime goal of this research is to propose and test novel algorithms for GNSS multipath environment classification on the receiver Digital Signal Processing (DSP) stage, but at an earlier processing point than it is used usually; at the generation of the ...
Moustakas, Panagiotis
core +1 more source

