Results 161 to 170 of about 1,105 (219)

Forecasting auditor's going concern opinion using with hybrid robust machine learning model. [PDF]

PLoS One
Ejder U, Yaşar A.
europepmc   +1 more source

Feasibility and SNR Performance of Hyperpolarized 129Xe Gas Exchange Imaging Using a Balanced SSFP Sequence

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a balanced SSFP (bSSFP) sequence for pulmonary 129Xe dissolved‐phase imaging based on a previously described double‐echo sequence facilitating separation into red blood cell and membrane signals, to test its feasibility and compare its SNR performance and imaging results to an analogous FLASH sequence.
Agilo L. Kern, Marcel Gutberlet, Jens M. Hohlfeld, Frank Wacker, Jens Vogel‐Claussen   +4 more
wiley   +1 more source

Fast Localized Calibration for Spatial‐Spectral Excitation Without Fly‐Back Gradients

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Standard spatial‐spectral excitation pulses apply a fly‐back gradient between sub‐pulses, limiting, for example, how thin the slices can be (> 4 mm). Without fly‐back gradients, slices can be as thin as 1.7 mm but require a phase calibration for the sub‐pulses with inverted gradients due to system imperfections.
Michael Schär, Sandeep K. Ganji, Robert G. Weiss, Allison G. Hays   +3 more
wiley   +1 more source

Advancing crop recommendation system with supervised machine learning and explainable artificial intelligence. [PDF]

Sci Rep
Shastri S, Kumar S, Mansotra V, Salgotra R.   +3 more
europepmc   +1 more source

Free‐Breathing Hepatic Oxygen Extraction Fraction (OEF) Mapping Using Radial GESSE

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Noninvasive assessment of hepatic oxygenation is relevant for evaluating liver both in acute and long‐term liver pathologies. However, existing methods are limited to single‐slice acquisitions and require breath‐holding. This study aims to develop and evaluate a motion‐robust technique for whole‐liver oxygen extraction fraction (OEF ...
Ke Zhang, Simon M. F. Triphan, Felix T. Kurz, Congcong Fu, Na Zhang, Christian H. Ziener, Mark E. Ladd, Heinz‐Peter Schlemmer, Hans‐Ulrich Kauczor, Oliver Sedlaczek   +9 more
wiley   +1 more source

Enhanced detection of mild cognitive impairment in Alzheimer's disease: a hybrid model integrating dual biomarkers and advanced machine learning. [PDF]

BMC Geriatr
Alex JSR, Roshini R, Maneesha G, Aparajeeta J, Priyadarshini B, Lin CY, Lung CW.   +6 more
europepmc   +1 more source

A Chance‐Constrained Model for a Production Routing Problem With Uncertain Availability of Vehicles

Networks, EarlyView.
ABSTRACT The Production Routing Problem (PRP) is a complex integrated problem that allows for the achievement of competitive advantages, such as better management of inventory, reduction in operational costs and lead times, improvement in efficiency and customer service, and better response to market changes.
Alline Zanette, Michel Gendreau, Walter Rei   +2 more
wiley   +1 more source

Predicting student academic achievement using stacked ensemble learning with deep neural networks and fuzzy-based feature selection. [PDF]

Sci Rep
Gu J.
europepmc   +1 more source

Stabilising Routines in Complex Emergencies: How Basic Service Continuity Shapes Perceived Security

Public Administration and Development, EarlyView.
ABSTRACT This study examines how locally embedded actors describe the relationship between basic service continuity and perceived security in complex emergencies, with particular attention to the stabilisation of everyday routines. Using Proximity‐Predictability‐Attributability (PPA) as an analytic lens, we trace how interviewees relate access to water,
Abdullah Gökhan Yaşa, Orçun İmga
wiley   +1 more source

A big data driven multilevel deep learning framework for predicting terrorist attacks. [PDF]

Sci Rep
Kalsooma U, Arshad S, Albarah A, Siddiqi I, Ullah S, Mateen A, Amin F.   +6 more
europepmc   +1 more source