Results 71 to 80 of about 1,151,147 (311)

Diagnosis of Heart Disease Based on Meta Heuristic Algorithms and Clustering Methods [PDF]

Journal of Electrical and Computer Engineering Innovations, 2016
Data analysis in cardiovascular diseases is difficult due to large massive of information. All of features are not impressive in the final results. So it is very important to identify more effective features.
S. Roostaee, H.R Ghaffary
doaj   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Exploring the link between spectral variance and upper canopy taxonomic diversity in a tropical forest: influence of spectral processing and feature selection

Remote Sensing in Ecology and Conservation, 2023
The rapid loss of biodiversity in tropical rainforests calls for new remote sensing approaches capable of providing rapid estimates of biodiversity over large areas.
Colette Badourdine, Jean‐Baptiste Féret, Raphaël Pélissier, Grégoire Vincent   +3 more
doaj   +1 more source

An Efficient BoF Representation for Object Classification

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2021
The Bag-of-features (BoF) approach has proved to yield better performance in a patch-based object classification system owing to its simplicity. However, often the very large number of patch-based descriptors (such as scale-invariant feature transform ...
Veerapathirapillai Vinoharan, Amirthalingam Ramanan   +1 more
doaj   +1 more source

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

FEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes, Guilherme M. Azevedo, Amanda P. Barcellos, Diana Bahia   +3 more
wiley   +1 more source

Epileptic seizure prediction based on ratio and differential linear univariate features

Journal of Medical Signals and Sensors, 2015
Bivariate features, obtained from multichannel electroencephalogram recordings, quantify the relation between different brain regions. Studies based on bivariate features have shown optimistic results for tackling epileptic seizure prediction problem in ...
Jalil Rasekhi, Mohammad Reza Karami Mollaei, Mojtaba Bandarabadi, César A Teixeira, António Dourado   +4 more
doaj  

A Machine Learning Pipeline for Prognostic Modeling of Alzheimer’s Disease Using Multimodal Data

Sensors
Accurate prediction of progression to Alzheimer’s disease (AD) is crucial for early intervention and personalized patient management. In this study, we developed a robust, data-driven survival analysis pipeline to model time-to-progression from ...
Luisa De Palma, Vito Ivano D’Alessandro, Filippo Attivissimo, Anna Maria Lucia Lanzolla, Emilio Merlo Pich, Attilio Di Nisio, The Alzheimer’s Disease Neuroimaging Initiative, The Alzheimer’s Disease Metabolomics Consortium   +7 more
doaj   +1 more source

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source

Visual Navigation Features Selection Algorithm Based on Instance Segmentation in Dynamic Environment

IEEE Access, 2020
Ego-motion estimation, as one of the core technologies of unmanned systems, is widely used in autonomous robot navigation, unmanned driving, augmented reality and other fields. With the development of computer vision, there has been considerable interest
Xiaokai Mu, Bo He, Xin Zhang, Tianhong Yan, Xu Chen, Rui Dong   +5 more
doaj   +1 more source

Feature Selection by Reordering

, 2005
Feature selection serves for both reduction of the total amount of available data (removing of valueless data) and improvement of the whole behavior of a given induction algorithm (removing data that cause deterioration of the results). A method of proper selection of features for an inductive algorithm is discussed.
Jiřina, M. (Marcel), Jiřina jr., M.
openaire   +3 more sources