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Linear Models

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A new evaluation and prediction model of sound quality of high-speed permanent magnet motor based on genetic algorithm-radial basis function artificial neural network.

Science progress
Sound quality (SQ) has become an important index to measure the competitiveness of motor products. To better evaluate and optimize SQ, a novelty SQ evaluation and prediction model of high-speed permanent magnet motor (HSPMM) with better accuracy is p...

Exploring generative deep learning for omics data using log-linear models.

Bioinformatics (Oxford, England)
MOTIVATION: Following many successful applications to image data, deep learning is now also increasingly considered for omics data. In particular, generative deep learning not only provides competitive prediction performance, but also allows for unco...

Comparison of data analytics strategies in computer vision systems to predict pig body composition traits from 3D images.

Journal of animal science
Computer vision systems (CVS) have been shown to be a powerful tool for the measurement of live pig body weight (BW) with no animal stress. With advances in precision farming, it is now possible to evaluate the growth performance of individual pigs m...

Constructing Inpatient Pressure Injury Prediction Models Using Machine Learning Techniques.

Computers, informatics, nursing : CIN
The incidence rate of pressure injury is a critical nursing quality indicator in clinic care; consequently, factors causing pressure injury are diverse and complex. The early prevention of pressure injury and monitoring of these complex high-risk fac...

Validation of a Convolutional Neural Network Model for Spike Transformation Using a Generalized Linear Model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Identification of causal relationships of neural activity is one of the most important problems in neuroscience and neural engineering. We show that a novel deep learning approach using a convolutional neural network to model output neural spike acti...

Forecasting beef production and quality using large-scale integrated data from Brazil.

Journal of animal science
With agriculture rapidly becoming a data-driven field, it is imperative to extract useful information from large data collections to optimize the production systems. We compared the efficacy of regression (linear regression or generalized linear regr...

Role of Instruction Adherence During Highly Structured Robotic Arm Training on Motor Outcomes for Individuals After Chronic Stroke.

American journal of physical medicine & rehabilitation
The aim of this study was to examine the effects of instruction adherence on upper limb motor outcomes after highly structured intervention. A secondary data analysis was completed using mixed linear modeling design. Thirty chronic stroke survivors w...

Generalized Born radii computation using linear models and neural networks.

Bioinformatics (Oxford, England)
MOTIVATION: Implicit solvent models play an important role in describing the thermodynamics and the dynamics of biomolecular systems. Key to an efficient use of these models is the computation of generalized Born (GB) radii, which is accomplished by ...

Soft biohybrid morphing wings with feathers underactuated by wrist and finger motion.

Science robotics
Since the Wright Flyer, engineers have strived to develop flying machines with morphing wings that can control flight as deftly as birds. Birds morph their wing planform parameters simultaneously-including sweep, span, and area-in a way that has prov...