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Methods in cognitive pupillometry: Design, preprocessing, and statistical analysis
bioRxiv, 2022 Cognitive pupillometry is the measurement of pupil size to investigate cognitive processes such as attention, mental effort, working memory, and many others.
S. Mathôt, Ana Vilotijević
semanticscholar +1 more source
Agronomy, 2023 The aboveground dry biomass (AGDB) of winter wheat can reflect the growth and development of winter wheat. The rapid monitoring of AGDB by using hyperspectral technology is of great significance for obtaining the growth and development status of winter ...
Chenbo Yang +10 more
doaj +1 more source
Comput. Methods Programs Biomed., 2022 BACKGROUND AND OBJECTIVE Diabetes mellitus is a metabolic disorder characterized by hyperglycemia, which results from the inadequacy of the body to secrete and respond to insulin.
Chollette C. Olisah +2 more
semanticscholar +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 A unified description for the imaging mission of different types of targets is lacking, making overall optimization of imaging missions of complex multitype targets (point, curve, and area) within a single pass difficult when using traditional satellite ...
Zezhong Lu +3 more
doaj +1 more source
The minimal preprocessing pipelines for the Human Connectome Project
NeuroImage, 2013 The Human Connectome Project (HCP) faces the challenging task of bringing multiple magnetic resonance imaging (MRI) modalities together in a common automated preprocessing framework across a large cohort of subjects.
M. Glasser +11 more
semanticscholar +1 more source
Construction of a Spatio-Temporal Dataset for Deep Learning-Based Precipitation Nowcasting
Journal of Information Science Theory and Practice, 2022 Recently, with the development of data processing technology and the increase of computational power, methods to solving social problems using Artificial Intelligence (AI) are in the spotlight, and AI technologies are replacing and supplementing existing
Wonsu Kim +3 more
doaj +1 more source
Particle-Tracking Proton Computed Tomography—Data Acquisition, Preprocessing, and Preconditioning
IEEE Access, 2021 Proton CT (pCT) is a promising new imaging technique that can reconstruct relative stopping power (RSP) more accurately than x-ray CT in each cubic millimeter voxel of the patient. This, in turn, will result in better proton range accuracy and, therefore,
Blake Schultze +10 more
doaj +1 more source
On QBF Proofs and Preprocessing [PDF]
, 2013 QBFs (quantified boolean formulas), which are a superset of propositional formulas, provide a canonical representation for PSPACE problems. To overcome the inherent complexity of QBF, significant effort has been invested in developing QBF solvers as well
A. Biere +25 more
core +1 more source
GigaScience, 2017 Quality control (QC) and preprocessing are essential steps for sequencing data analysis to ensure the accuracy of results. However, existing tools cannot provide a satisfying solution with integrated comprehensive functions, proper architectures, and ...
Yuxin Chen +14 more
semanticscholar +1 more source
On the Closest Vector Problem with a Distance Guarantee [PDF]
, 2014 We present a substantially more efficient variant, both in terms of running time and size of preprocessing advice, of the algorithm by Liu, Lyubashevsky, and Micciancio for solving CVPP (the preprocessing version of the Closest Vector Problem, CVP) with ...
Dadush, Daniel +2 more
core +3 more sources