Results 241 to 250 of about 5,959,177 (289)

Tree-Based Machine Learning Model for Fluorescence Lifetime Prediction in Organic Compounds. [PDF]

J Fluoresc
Vovea DC, Chiș V.
europepmc   +1 more source

Enhancing PET/CT Radiomics Robustness Through Graph Signal Processing. [PDF]

Diagnostics (Basel)
Latino T, Stefano A, Pasini G, Marinozzi F, Russo G, Bini F.   +5 more
europepmc   +1 more source

Explainable machine learning and physics-constrained optimization of chalcogen catalysts for sustainable hydrogen production. [PDF]

iScience
Nguyen D, Guerrero-Pérez MO, Rodríguez-Castellón E, Nguyen MC, Hadiyanto H, Le VH, Dong VH, Nguyen XP, Hoang AT.   +8 more
europepmc   +1 more source

Personalized Calibration and Hybrid Feature Fusion for Continuous Blood Pressure Estimation Using PPG and ECG Signals. [PDF]

Sensors (Basel)
Zhang Z, Qu P, Tang H.
europepmc   +1 more source

Mechanistically Interpretable Artificial Intelligence for Designing Oxygen Electrocatalysts. [PDF]

Adv Mater
Hu X, Zhou Y, Li H, Luo Z, Shi N, Ding Y, Wang W, Zhang W, Kim D, Kim C, Ahn Y, Govindarajan N, Zou M, Liu Z, Song Y, Liu M.   +15 more
europepmc   +1 more source

Machine-learning prediction of biomass chemical composition using derivative thermogravimetric data of different biomass feedstocks. [PDF]

Sci Rep
Pattanayak S, Saha D, Loha C, Dewangan KK, Antonopoulou I.   +4 more
europepmc   +1 more source

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Evaluation of Interest Point Detectors and Feature Descriptors for Visual Tracking

International Journal of Computer Vision, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Matthew Türk, Tobias Höllerer, Steffen Gauglitz   +2 more
exaly   +3 more sources

Discriminative Learning of Point Cloud Feature Descriptors Based on Siamese Network

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
It is challenging to direct extract the feature descriptors of the object in the point cloud, although deep learning has been widely used with the classification and detection in the point cloud, those methods hidden feature presentation in the network.
Jonathan Li, Weiquan Liu, Chenglu Wen
exaly   +2 more sources

Robust descriptors for 3D point clouds using Geometric and Photometric Local Feature

2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
The robust perception of robots is strongly needed to handle various objects skillfully. In this paper, we propose a novel approach to recognize objects and estimate their 6-DOF pose using 3D feature descriptors, called Geometric and Photometric Local Feature (GPLF).
Hyoseok Hwang
exaly   +2 more sources