Results 11 to 20 of about 7,333,462 (342)
MOTION ARTIFACT REDUCTION IN FUNCTIONAL NEAR INFRARED SPECTROSCOPY SIGNALS BY AUTOREGRESSIVE MOVING AVERAGE MODELING BASED KALMAN FILTERING [PDF]
Journal of Innovative Optical Health Sciences, 2013 Functional near infrared spectroscopy (fNIRS) is a technique that is used for noninvasive measurement of the oxyhemoglobin (HbO2) and deoxyhemoglobin (HHb) concentrations in the brain tissue.
MEHDI AMIAN, S. KAMALEDIN SETAREHDAN
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Automatically Prioritizing Tasks in Software Development
IEEE Access, 2023 Within the domain of managing software development teams, effective task prioritization is a critical responsibility that should not be underestimated, particularly for larger organizations with significant backlogs.
Yegor Bugayenko +5 more
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Sensors, 2020 In this research, we focus on the use of Unmanned Aerial Vehicles (UAVs) for the delivery of payloads and navigation towards safe-landing zones, specifically on the modeling of flight dynamics of lightweight vehicles denoted Precision Aerial Delivery ...
Raul A. Garcia-Huerta +2 more
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Frontiers in Neurology, 2022 We have demonstrated that machine learning allows us to predict cognitive function in aged people using near-infrared spectroscopy (NIRS) data or basic blood test data. However, the following points are not yet clear: first, whether there are differences
Katsunori Oyama, Kaoru Sakatani
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Dataset size considerations for robust acoustic and phonetic speech encoding models in EEG
Frontiers in Human Neuroscience, 2023 In many experiments that investigate auditory and speech processing in the brain using electroencephalography (EEG), the experimental paradigm is often lengthy and tedious. Typically, the experimenter errs on the side of including more data, more trials,
Maansi Desai +3 more
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Crop phenotype prediction using biclustering to explain genotype-by-environment interactions
Frontiers in Plant Science, 2022 Phenotypic variation in plants is attributed to genotype (G), environment (E), and genotype-by-environment interaction (GEI). Although the main effects of G and E are typically larger and easier to model, the GEI interaction effects are important and a ...
Hieu Pham +5 more
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Piecewise latent growth models: beyond modeling linear-linear processes [PDF]
Behavior Research Methods, 2020 Piecewise latent growth models (LGMs) for linear-linear processes have been well-documented and studied in recent years. However, in the latent growth modeling literature, advancements to other functional forms as well as to multiple changepoints or knots have been nearly non-existent. This manuscript deals with three extensions.
Harring, Jeffrey R +2 more
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How to Address Non-normality: A Taxonomy of Approaches, Reviewed, and Illustrated
Frontiers in Psychology, 2018 The linear model often serves as a starting point for applying statistics in psychology. Often, formal training beyond the linear model is limited, creating a potential pedagogical gap because of the pervasiveness of data non-normality.
Jolynn Pek +3 more
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Model Checking Linear Logic Specifications [PDF]
, 2003 The overall goal of this paper is to investigate the theoretical foundations of algorithmic verification techniques for first order linear logic specifications.
Bozzano, M., Delzanno, G., Martelli, M.
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Frontiers in Neurology, 2018 Functional electrical stimulation (FES) is important in gait rehabilitation for patients with dropfoot. Since there are time-varying velocities during FES-assisted walking, it is difficult to achieve a good movement performance during walking. To account
Guangtao Chen +4 more
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