Results 231 to 240 of about 24,126 (306)

Free‐Breathing Fat Quantification Using a Phase Error‐Corrected Cartesian Acquisition With Spiral Profile Ordering

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a phase‐corrected time‐interleaved multi‐echo gradient echo Cartesian acquisition with spiral profile ordering (TIMGRECASPR) for abdominal large‐FOV proton density fat fraction (PDFF) mapping at 3 T, demonstrating its sampling flexibility and inherent self‐gating capabilities at high isotropic resolutions.
Philipp Braun, Jonathan Stelter, Stefan Ruschke, Johannes M. Peeters, Holger Eggers, Kilian Weiss, Daniela Junker, Dimitrios C. Karampinos   +7 more
wiley   +1 more source

Drug screening for α-synuclein aggregation inhibitors via multimodal graph neural network. [PDF]

Brief Bioinform
Gu T, Ran Z, Li W, Guo X, Li B, Li F, Jia C.   +6 more
europepmc   +1 more source

Fault Detection of Electric Motors via Symmetrized Dot Pattern‐Based Features

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This study proposes a novel symmetrized dot pattern (SDP) approach using designed SDP‐based features, extracted from transformed vibration signals, for fault detection. These features describe the compactness, inclination, and shape of the “snowflake” diagram distributions.
Mario Spirto, Pierangelo Malfi, Armando Nicolella, Francesco Melluso, Chiara Cosenza, Sergio Savino, Vincenzo Niola   +6 more
wiley   +1 more source

Offline and online coupled tensor factorization with knowledge graph. [PDF]

PLoS One
Lee S, Park YC, Kang U.
europepmc   +1 more source

Enhancing Rock Strength Prediction and Features Selection by Coupling Well Log Data and Deep Learning Approaches in Reservoir Geomechanics

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Accurate rock strength parameters play a vital role in petroleum and mining operations for sustainable drilling activities, and wellbore stability analysis. This study investigates the applicability of deep learning techniques for assessing data‐driven models, and to conduct parametric sensitivity examination for feature attributes ranking to ...
Mohammad Islam Miah, Md. Shakil Rahaman, Travis Wiens   +2 more
wiley   +1 more source

Multitask optimization and convergence stability with hierarchical feature learning for self guided optimization. [PDF]

Sci Rep
Mahmood K, Althobaiti MM, Hassan MU, Khan S, Khan M, Alsoufi MA.   +5 more
europepmc   +1 more source

Opening the Black Box of Nonprofit Reputation and Volunteer Attraction With Supervised Machine Learning

Nonprofit Management and Leadership, EarlyView.
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid, Hannes Lampe, Jurgen Willems   +2 more
wiley   +1 more source

JGR-NMF: joint graph-regularized non-negative matrix factorization for spatial domain identification. [PDF]

PeerJ
Liang J, Huang J, Xi C, Wang Y, Li J.
europepmc   +1 more source

3D effects of seawater on electrical resistivity tomography near shorelines—Challenges and possible solutions inferred from synthetic and field data

Near Surface Geophysics, EarlyView.
Abstract Electrical resistivity tomography (ERT) is one of the most widely used geophysical techniques for hydrogeological questions, such as investigating the groundwater transition zone between land and sea. The interpretation of 2D coast‐parallel ERT profiles is challenging because most of the electrical current flows through the highly conductive ...
Simon Levin Fischer, Ercan Erkul, Jasper Justus Lutz Hoffmann, Şerif Barış, Ertan Pekşen, İsmail Kaplanvural, Wolfgang Rabbel   +6 more
wiley   +1 more source

Designing implicit population learners: a permutation-equivariant state space approach for brain disease diagnosis. [PDF]

Front Comput Neurosci
Yang C.
europepmc   +1 more source