Results 71 to 80 of about 5,709,929 (152)

Rational Design, Synthesis, Biological Evaluation, and In Silico Study of N‐Cinnamamide/Benzamide‐(4‐(Substituted Phenyl)‐6‐(4‐Cyclohexylphenyl)pyrimidin‐2‐yl) Derivatives as EGFR Inhibitors Targeting EGFRWT, EGFRT790M, and EGFRL858R/T790M/C797S in NSCLC

open access: yesChemical Biology &Drug Design, Volume 108, Issue 3, September 2026.
Rational Design, Synthesis, Biological Evaluation, and In Silico Investigation of N‐Cinnamamide/Benzamide‐(4‐(Substituted Phenyl)‐6‐(4‐Cyclohexylphenyl)pyrimidin‐2‐yl) Derivatives as EGFR Inhibitors Targeting Wild‐Type and Mutant EGFR in NSCLC. ABSTRACT Non‐small cell lung cancer (NSCLC), driven by mutations in the epidermal growth factor receptor ...
Rohit Pal   +6 more
wiley   +1 more source

Deep Learning on Graphs (GSP'17 workshop)

open access: yes, 2017
Presentation given at the Graph Signal Processing (GSP'17) workshop at Carnegie Mellon University (https://gsp17.ece.cmu.edu/)
Defferrard, Michaël   +1 more
core   +1 more source

A comparison of graph construction techniques for applying graph signal processing to soil moisture networks

open access: yesDiscover Computing
Sensor networks let a farmer keep their eye on multiple locations in an agricultural field simultaneously but can be expensive to install, maintain and analyse.
Jurgen van den Hoogen   +2 more
doaj   +1 more source

HELIOS ‐ Highly rEliable Links durIng sOlar conjunctionS

open access: yesRadio Science, Volume 61, Issue 8, August 2026.
Abstract During deep space missions, maintaining reliable communication between a spacecraft and Earth becomes particularly challenging during superior solar conjunctions, when the spacecraft passes behind the Sun relative to Earth. The highly ionized solar corona and solar wind create plasma inhomogeneities that severely affect radio signals, leading ...
A. Zeqaj   +8 more
wiley   +1 more source

Research on a Wind Turbine Gearbox Fault Diagnosis Method Using Singular Value Decomposition and Graph Fourier Transform

open access: yesSensors
Gearboxes operate in challenging environments, which leads to a heightened incidence of failures, and ambient noise further compromises the accuracy of fault diagnosis.
Lan Chen   +3 more
doaj   +1 more source

Network‐level disconnectivity tracks poststroke depressive symptom improvement

open access: yesPsychiatry and Clinical Neurosciences, Volume 80, Issue 8, Page 676-681, August 2026.
Aims Poststroke depression is the most common psychological condition following a stroke and can severely impact outcome. However, the neurobiological biomarkers associated with recovery of poststroke depression remain unclear. In this longitudinal observational study, we set out to investigate the effect of lesion‐induced focal damage and network ...
Aleksi J. Sihvonen   +6 more
wiley   +1 more source

Community-Driven Signal Processing On Directed Brain Graphs

open access: yes
Graphs have become a predominant way of representing structured information. Pioneering frameworks such as graph signal processing (GSP) have been developed for the analysis of data within such representations (e.g. brain graphs). Notably, by integrating
Cionca, Alexandre   +7 more
core   +1 more source

Enhancing Soil Moisture Active–Passive Estimates with Soil Moisture Active–Passive Reflectometer Data Using Graph Signal Processing

open access: yesRemote Sensing
The Soil Moisture Active–Passive (SMAP) mission has greatly contributed to the use of remote sensing technologies for monitoring the Earth’s land surface and estimating geophysical parameters that influence the climate system.
Johanna Garcia-Cardona   +4 more
doaj   +1 more source

GSP for Virtual Sensors in eHealth Applications

open access: yes, 2020
© 2020 IEEE.The Graph Signal Processing (GSP) is a mathematical framework that extends the Discrete Signal Processing (DSP) tools such as filtering and signals decomposition to graph data structures.
Mehmet Ali Erturk   +3 more
core   +1 more source

Graph Signal Processing, Graph Neural Network and Graph Learning on Biological Data: A Systematic Review.

open access: yes, 2023
Graph networks can model the data observed across different levels of biological systems that span from the population graph (with patients as network nodes) to the molecular graphs that involve omics data.
Yuan, X   +13 more
core   +1 more source

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