Results 111 to 120 of about 53,858 (186)

Radiation therapy response prediction for head and neck cancer using multimodal imaging and multiview dynamic graph autoencoder feature selection. [PDF]

Med Phys
Moslemi A, Osapoetra LO, Safakish A, Sannachi L, Alberico D, Czarnota GJ.   +5 more
europepmc   +1 more source

Multi-sensor observer-based residual learning with Auto-Permutation Feature Importance for fault diagnosis of multistage centrifugal pumps under variable pressures. [PDF]

Sci Rep
Ullah S, Siddique MF, Kim JM.
europepmc   +1 more source

Predicting response to neuromodulation therapies in drug-resistant epilepsy using machine learning models: a meta-analysis and systematic review. [PDF]

Bioelectron Med
Quintero-Villegas A, Fylaktou F, Morales J, Zanos TP.   +3 more
europepmc   +1 more source

Two Novel Cloud-Masking Algorithms Tested in a Tropical Forest Setting Using High-Resolution NICFI-Planet Basemaps. [PDF]

Sensors (Basel)
Islam KMA, Abir S, Kennedy R.
europepmc   +1 more source

Residues on unglazed Roman pottery: extraction of organic spectral signatures via ATR-FTIR and machine learning. [PDF]

NPJ Sci Food
Giampaolo S, Scatigno C, Migliorati L, Sgrulloni T, Festa G.   +4 more
europepmc   +1 more source

Classification and Clustering of Fiber Break Events in Thermoset CFRP Using Acoustic Emission and Machine Learning. [PDF]

Sensors (Basel)
Amevorku RD, Amoateng-Mensah D, Rijal M, Sundaresan MJ.   +3 more
europepmc   +1 more source

A new band selection framework for hyperspectral remote sensing image classification. [PDF]

Sci Rep
Phaneendra Kumar BLN, Vaddi R, Manoharan P, Agilandeeswari L, Sangeetha V.   +4 more
europepmc   +1 more source

MLVI-CNN: a hyperspectral stress detection framework using machine learning-optimized indices and deep learning for precision agriculture. [PDF]

Front Plant Sci
S P, Shirly Edward A.
europepmc   +1 more source

Classification of chronic pain and spinal cord stimulation response using machine learning in magnetoencephalography data. [PDF]

PLoS One
Witjes B, Starmans MPA, Huygen FJPM, de Vos CC.   +3 more
europepmc   +1 more source

NDVI and Beyond: Vegetation Indices as Features for Crop Recognition and Segmentation in Hyperspectral Data. [PDF]

Sensors (Basel)
Nițu A, Florea C, Ivanovici M, Racoviteanu A.   +3 more
europepmc   +1 more source