Results 11 to 20 of about 7,341,072 (293)
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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Random Logic Programs: Linear Model [PDF]
, 2014 This paper proposes a model, the linear model, for randomly generating logic programs with low density of rules and investigates statistical properties of such random logic programs. It is mathematically shown that the average number of answer sets for a
Mu, Kedian, Wang, Kewen, Wen, Lian
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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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A Linear/Producer/Consumer Model of Classical Linear Logic [PDF]
, 2014 This paper defines a new proof- and category-theoretic framework for classical linear logic that separates reasoning into one linear regime and two persistent regimes corresponding to ! and ?.
Paykin, Jennifer, Zdancewic, Steve
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Jeffreys-prior penalty, finiteness and shrinkage in binomial-response generalized linear models [PDF]
, 2020 Penalization of the likelihood by Jeffreys' invariant prior, or by a positive power thereof, is shown to produce finite-valued maximum penalized likelihood estimates in a broad class of binomial generalized linear models.
Firth, David, Kosmidis, Ioannis
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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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Animal, 2011 The objective of this study was to compare linear models and survival analysis for genetic evaluation of ovulatory disorders, which included veterinary treatments of silent heat/anestrus and cystic ovaries.
A. Koeck +4 more
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